Ming-Ming Cheng

484 papers A* 101A 6C 1Journal 336Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amped: Adaptive Multi-stage Non-edge Pruning for Edge Detection.
CoRR
Yuhan Gao, Xinqing Li, Xin He, Bing Li, Xinzhong Zhu, Ming-Ming Cheng, Yun Liu
2026 J jnl
CrystaL: Spontaneous Emergence of Visual Latents in MLLMs.
CoRR
Yang Zhang, Danyang Li, Yuxuan Li, Xin Zhang, Tianyu Xie, Ming-Ming Cheng, Xiang Li
2026 J jnl
DeST: A Decoupled Spatio-Temporal Framework for Action Segmentation.
Int. J. Comput. Vis.
Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
2026 A* conf
DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection.
AAAI
Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Ming-Ming Cheng, Yimian Dai
2026 J jnl
FlowConsist: Make Your Flow Consistent with Real Trajectory.
CoRR
Tianyi Zhang, Chengcheng Liu, Jinwei Chen, Chun-Le Guo, Chongyi Li, Ming-Ming Cheng, Bo Li, Peng-Tao Jiang
2026 J jnl
GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristics.
CoRR
Modi Jin, Yiming Zhang, Boyuan Sun, Dingwen Zhang, Ming-Ming Cheng, Qibin Hou
2026 J jnl
Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory.
CoRR
Ruiqi Wu, Xuanhua He, Cheng Meng, Tianyu Yang, Yong Zhang, Zhuoliang Kang, Xunliang Cai, Xiaoming Wei, Chunle Guo, Chongyi Li, Ming-Ming Cheng
2026 J jnl
Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation.
CoRR
Guohuan Xie, Xin He, Dingying Fan, Le Zhang, Ming-Ming Cheng, Yun Liu
2026 J jnl
Mixture of Style Experts for Diverse Image Stylization.
CoRR
Shihao Zhu, Ziheng Ouyang, Yijia Kang, Qilong Wang, Mi Zhou, Bo Li, Ming-Ming Cheng, Qibin Hou
2026 J jnl
Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models.
CoRR
Enguang Wang, Qiang Wang, Yuanchen Wu, Ke Yan, Xinbin Yuan, Shouhong Ding, Xialei Liu, Ming-Ming Cheng
2026 J jnl
Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought.
CoRR
Yunheng Li, Hangyi Kuang, Hengrui Zhang, Jiangxia Cao, Zhaojie Liu, Qibin Hou, Ming-Ming Cheng
2026 A* conf
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection.
AAAI
Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, Jian Yang
2026 J jnl
Step-Wise Distribution-Aligned Style Prompt Tuning for Source-Free Cross-Domain Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Huali Xu, Li Liu, Tianpeng Liu, Shuaifeng Zhi, Shuzhou Sun, Ming-Ming Cheng
2026 A* conf
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.
AAAI
Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2026 J jnl
Test-Time Computing for Referring Multimodal Large Language Models.
CoRR
Mingrui Wu, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Zhiyuan Liu, Liujuan Cao, Ming-Ming Cheng, Rongrong Ji
2026 J jnl
Towards Universal Video MLLMs with Attribute-Structured and Quality-Verified Instructions.
CoRR
Yunheng Li, Hengrui Zhang, Meng-Hao Guo, Wenzhao Gao, Shaoyong Jia, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
2026 J jnl
Unifying Heterogeneous Multi-Modal Remote Sensing Detection Via Language-Pivoted Pretraining.
CoRR
Yuxuan Li, Yuming Chen, Yunheng Li, Ming-Ming Cheng, Xiang Li, Jian Yang
2025 J jnl
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects.
CoRR
Guohuan Xie, Syed Ariff Syed Hesham, Wenya Guo, Bing Li, Ming-Ming Cheng, Guolei Sun, Yun Liu
2025 J jnl
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models.
CoRR
Quan-Sheng Zeng, Yunheng Li, Qilong Wang, Peng-Tao Jiang, Zuxuan Wu, Ming-Ming Cheng, Qibin Hou
2025 J jnl
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation.
CoRR
Shuzhou Sun, Li Liu, Tianpeng Liu, Shuaifeng Zhi, Ming-Ming Cheng, Janne Heikkilä, Yongxiang Liu
2025 J jnl
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuzhou Sun, Li Liu, Tianpeng Liu, Shuaifeng Zhi, Ming-Ming Cheng, Janne Heikkilä, Yongxiang Liu
2025 — conf
A Simple Detector with Frame Dynamics is a Strong Tracker.
CVPR Workshops
Chenxu Peng, Chenxu Wang, Minrui Zou, Danyang Li, Zhengpeng Yang, Yimian Dai, Ming-Ming Cheng, Xiang Li
2025 J jnl
A Simple Detector with Frame Dynamics is a Strong Tracker.
CoRR
Chenxu Peng, Chenxu Wang, Minrui Zou, Danyang Li, Zhengpeng Yang, Yimian Dai, Ming-Ming Cheng, Xiang Li
2025 J jnl
A Vision for Auto Research with LLM Agents.
CoRR
Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu
2025 J jnl
AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction.
CoRR
Xuying Zhang, Yupeng Zhou, Kai Wang, Yikai Wang, Zhen Li, Xiuli Shao, Daquan Zhou, Qibin Hou, Ming-Ming Cheng
2025 J jnl
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing.
CoRR
Taihang Hu, Linxuan Li, Kai Wang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025 J jnl
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant T2I Adversarial Patches.
CoRR
Wenjun Ji, Yuxiang Fu, Luyang Ying, Deng-Ping Fan, Yuyi Wang, Ming-Ming Cheng, Ivor W. Tsang, Qing Guo
2025 J jnl
AuxDet: Auxiliary Metadata Matters for Omni-Domain Infrared Small Target Detection.
CoRR
Yangting Shi, Renjie He, Le Hui, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai
2025 J jnl
Benchmarking Drag⋆ for eye direction transformation and beyond.
Vis. Intell.
Yuxiang Fu, Jiakun Ding, Renzhi Wang, Qian Fu, Ivor W. Tsang, Ming-Ming Cheng, Qing Guo
2025 J jnl
Camouflaged Object Detection with Adaptive Partition and Background Retrieval.
Int. J. Comput. Vis.
Bowen Yin, Xuying Zhang, Li Liu, Ming-Ming Cheng, Yongxiang Liu, Qibin Hou
2025 J jnl
Class Incremental Learning for Image Classification With Out-of-Distribution Task Identification.
IEEE Trans. Multim.
Xusheng Cao, Haori Lu, Xialei Liu, Ming-Ming Cheng
2025 J jnl
Context-measure: Contextualizing Metric for Camouflage.
CoRR
Chen-Yang Wang, Ge-Peng Ji, Song Shao, Ming-Ming Cheng, Deng-Ping Fan
2025 J jnl
Could Describe Anything Model Understand Remote Sensing Objects?
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziyi Gao, Shuzhou Sun, Ming-Ming Cheng, Yunli Long, Yongxiang Liu, Li Liu
2025 A* conf
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation.
CVPR
Bowen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou
2025 J jnl
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation.
CoRR
Bowen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou
2025 J jnl
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data.
CoRR
Ruiqi Wu, Xinjie Wang, Liu Liu, Chunle Guo, Jiaxiong Qiu, Chongyi Li, Lichao Huang, Zhizhong Su, Ming-Ming Cheng
2025 J jnl
DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing.
CoRR
Shengdong Han, Shangdong Yang, Xin Zhang, Yuxuan Li, Xiang Li, Jian Yang, Ming-Ming Cheng, Yimian Dai
2025 J jnl
DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection.
CoRR
Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Ming-Ming Cheng, Yimian Dai
2025 J jnl
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches.
CoRR
Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor W. Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo
2025 J jnl
Enhancing Representations Through Heterogeneous Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhongyu Li, Bowen Yin, Yongxiang Liu, Li Liu, Ming-Ming Cheng
2025 A* conf
From Words to Worth: Newborn Article Impact Prediction with LLM.
AAAI
Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li
2025 A* conf
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery.
CVPR
Enguang Wang, Zhimao Peng, Zhengyuan Xie, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025 J jnl
GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation.
CoRR
Yuhao Wan, Lijuan Liu, Jingzhi Zhou, Zihan Zhou, Xuying Zhang, Dongbo Zhang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
2025 A* conf
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration.
ICLR
Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025 J jnl
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration.
CoRR
Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025 A* conf
KAC: Kolmogorov-Arnold Classifier for Continual Learning.
CVPR
Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng
2025 J jnl
KAC: Kolmogorov-Arnold Classifier for Continual Learning.
CoRR
Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng
2025 J jnl
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning.
CoRR
Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025 J jnl
LSKNet: A Foundation Lightweight Backbone for Remote Sensing.
Int. J. Comput. Vis.
Yuxuan Li, Xiang Li, Yimian Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang
2025 J jnl
Low-Resolution Self-Attention for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2025 J jnl
MS-NeRF: Multi-Space Neural Radiance Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Ze-Xin Yin, Pengyi Jiao, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren
2025 J jnl
Multimodal Large Models Driven SAR Image Captioning: A Benchmark Dataset and Baselines.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziyi Gao, Shuzhou Sun, Ming-Ming Cheng, Yongxiang Liu, Li Liu
2025 A* conf
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation.
ICLR
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie
2025 J jnl
NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation.
CoRR
Penghai Zhao, Jinyu Tian, Qinghua Xing, Xin Zhang, Zheng Li, Jianjun Qian, Ming-Ming Cheng, Xiang Li
2025 J jnl
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation.
CoRR
Bowen Yin, Jiao-Long Cao, Xuying Zhang, Yuming Chen, Ming-Ming Cheng, Qibin Hou
2025 A* conf
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt.
ICLR
Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025 J jnl
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt.
CoRR
Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
2025 J jnl
OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better.
CoRR
Yupeng Zhou, Zhen Li, Ziheng Ouyang, Yuming Chen, Ruoyi Du, Daquan Zhou, Bin Fu, Yihao Liu, Peng Gao, Ming-Ming Cheng, Qibin Hou
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024 Urumqi, China, October 18-20, 2024 Proceedings, Part IV
PRCV (4)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I
PRCV (1)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part II
PRCV (2)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III
PRCV (3)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX
PRCV (9)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V
PRCV (5)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI
PRCV (6)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII
PRCV (7)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII
PRCV (8)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part X
PRCV (10)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI
PRCV (11)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII
PRCV (12)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII
PRCV (13)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV
PRCV (14)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 — ed.
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV
PRCV (15)
Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
2025 J jnl
Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection.
CoRR
Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2025 J jnl
Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection.
IEEE Trans. Circuits Syst. Video Technol.
Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2025 J jnl
RAM++: Robust Representation Learning via Adaptive Mask for All-in-One Image Restoration.
CoRR
Zilong Zhang, Chujie Qin, Chunle Guo, Yong Zhang, Chao Xue, Ming-Ming Cheng, Chongyi Li
2025 J jnl
RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation.
CoRR
Fengyi Wu, Yimian Dai, Tianfang Zhang, Yixuan Ding, Jian Yang, Ming-Ming Cheng, Zhenming Peng
2025 A* conf
RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark.
CVPR
Xin Zhang, Xue Yang, Yuxuan Li, Jian Yang, Ming-Ming Cheng, Xiang Li
2025 J jnl
RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark.
CoRR
Xin Zhang, Xue Yang, Yuxuan Li, Jian Yang, Ming-Ming Cheng, Xiang Li
2025 J jnl
Rapid Salient Object Detection With Difference Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuo Su, Li Liu, Matthias Müller, Jiehua Zhang, Diana Wofk, Ming-Ming Cheng, Matti Pietikäinen
2025 J jnl
Rapid Salient Object Detection with Difference Convolutional Neural Networks.
CoRR
Zhuo Su, Li Liu, Matthias Müller, Jiehua Zhang, Diana Wofk, Ming-Ming Cheng, Matti Pietikäinen
2025 A* conf
Re-Aligning Language to Visual Objects with an Agentic Workflow.
ICLR
Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song
2025 J jnl
Re-Aligning Language to Visual Objects with an Agentic Workflow.
CoRR
Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song
2025 J jnl
Referring Camouflaged Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng
2025 J jnl
Reformulating Classification as Image-Class Matching for Class Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol.
Yusong Hu, Zichen Liang, Xialei Liu, Qibin Hou, Ming-Ming Cheng
2025 J jnl
Representation Entanglement for Generation:Training Diffusion Transformers Is Much Easier Than You Think.
CoRR
Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, Jian Yang, Ming-Ming Cheng, Xiang Li
2025 J jnl
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework.
CoRR
Wenhao Tang, Heng Fang, Ge Wu, Xiang Li, Ming-Ming Cheng
2025 J jnl
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment.
CoRR
Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu, Qibin Hou, Ming-Ming Cheng
2025 J jnl
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology.
CoRR
Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li, Ming-Ming Cheng
2025 J jnl
Sharpness-aware Dynamic Anchor Selection for Generalized Category Discovery.
CoRR
Zhimao Peng, Enguang Wang, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025 — conf
SlimHead: Rethinking the Efficiency Bottleneck in Dense Object Detection.
PRCV (16)
Zhaohui Zheng, Yuming Chen, Ping Wang, Le Zhang, Xiang Li, Qibin Hou, Ming-Ming Cheng
2025 J jnl
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.
CoRR
Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2025 J jnl
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs.
CoRR
Yunheng Li, Jing Cheng, Shaoyong Jia, Hangyi Kuang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
2025 J jnl
The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment.
CoRR
Ziheng Ouyang, Yiren Song, Yaoli Liu, Shihao Zhu, Qibin Hou, Ming-Ming Cheng, Mike Zheng Shou
2025 J jnl
Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution.
CoRR
Tainyi Zhang, Zheng-Peng Duan, Peng-Tao Jiang, Bo Li, Ming-Ming Cheng, Chun-Le Guo, Chongyi Li
2025 A* conf
Towards RAW Object Detection in Diverse Conditions.
CVPR
Zhongyu Li, Xin Jin, Bo-Yuan Sun, Chun-Le Guo, Ming-Ming Cheng
2025 J jnl
Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning.
CoRR
Mingxuan Cui, Qing Guo, Yuyi Wang, Hongkai Yu, Di Lin, Qin Zou, Ming-Ming Cheng, Xi Li
2025 J jnl
Visual Instruction Pretraining for Domain-Specific Foundation Models.
CoRR
Yuxuan Li, Yicheng Zhang, Wenhao Tang, Yimian Dai, Ming-Ming Cheng, Xiang Li, Jian Yang
2025 J jnl
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning.
CoRR
Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, Ming-Ming Cheng
2025 J jnl
Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching.
IEEE Trans. Image Process.
Dingwen Zhang, Hao Li, Wenyuan Zeng, Chaowei Fang, Lechao Cheng, Ming-Ming Cheng, Junwei Han
2025 J jnl
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuming Chen, Xinbin Yuan, Jiabao Wang, Ruiqi Wu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2024 J jnl
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence.
CoRR
Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li
2024 J jnl
ATPrompt: Textual Prompt Learning with Embedded Attributes.
CoRR
Zheng Li, Yibing Song, Penghai Zhao, Ming-Ming Cheng, Xiang Li, Jian Yang
2024 J jnl
CamoFormer: Masked Separable Attention for Camouflaged Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Bowen Yin, Xuying Zhang, Deng-Ping Fan, Shaohui Jiao, Ming-Ming Cheng, Luc Van Gool, Qibin Hou
2024 A* conf
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation.
ICML
Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng, Qibin Hou, Ming-Ming Cheng
2024 J jnl
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation.
CoRR
Yunheng Li, Zhong-Yu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng
2024 J jnl
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer.
CoRR
Yuhao Wan, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Ming-Ming Cheng, Bo Li
2024 J jnl
Contrastive Masked Autoencoders are Stronger Vision Learners.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng
2024 J jnl
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng, Jiashi Feng
2024 A* conf
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation.
CVPR
Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou
2024 A* conf
CrossKD: Cross-Head Knowledge Distillation for Object Detection.
CVPR
Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou
2024 A* conf
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation.
ICLR
Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou
2024 J jnl
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction.
CoRR
Yunheng Li, Yuxuan Li, Quansheng Zeng, Wenhai Wang, Qibin Hou, Ming-Ming Cheng
2024 J jnl
Dual Frequency Transformer for Efficient SDR-to-HDR Translation.
Mach. Intell. Res.
Gang Xu, Qibin Hou, Ming-Ming Cheng
2024 J jnl
Editorial for Special Issue on Multi-modal Representation Learning.
Mach. Intell. Res.
Deng-Ping Fan, Nick Barnes, Ming-Ming Cheng, Luc Van Gool
2024 J jnl
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning.
IEEE Trans. Image Process.
Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu
2024 J jnl
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning.
CoRR
Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu
2024 A* conf
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference.
NeurIPS
Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
2024 A* conf
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning.
AAAI
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2024 J jnl
From Words to Worth: Newborn Article Impact Prediction with LLM.
CoRR
Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li
2024 J jnl
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery.
CoRR
Enguang Wang, Zhimao Peng, Zhengyuan Xie, Xialei Liu, Ming-Ming Cheng
2024 A* conf
Generative Multi-modal Models are Good Class-Incremental Learners.
CVPR
Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng
2024 J jnl
Generative Multi-modal Models are Good Class-Incremental Learners.
CoRR
Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng
2024 J jnl
LSKNet: A Foundation Lightweight Backbone for Remote Sensing.
CoRR
Yuxuan Li, Xiang Li, Yimian Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang
2024 A* conf
Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery.
IJCAI
Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2024 J jnl
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation.
CoRR
Quan-Sheng Zeng, Yunheng Li, Daquan Zhou, Guanbin Li, Qibin Hou, Ming-Ming Cheng
2024 J jnl
Multi-Token Enhancing for Vision Representation Learning.
CoRR
Zhong-Yu Li, Yusong Hu, Bowen Yin, Ming-Ming Cheng
2024 J jnl
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation.
CoRR
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie
2024 J jnl
NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations.
IEEE Trans. Vis. Comput. Graph.
Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
2024 A* conf
NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields.
SIGGRAPH Asia
Jiaxiong Qiu, Ruihong Cen, Zhong Li, Han Yan, Ming-Ming Cheng, Bo Ren
2024 A* conf
OPUS: Occupancy Prediction Using a Sparse Set.
NeurIPS
Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng
2024 J jnl
OPUS: Occupancy Prediction Using a Sparse Set.
CoRR
Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng
2024 J jnl
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling.
CoRR
Zhong-Yu Li, Yunheng Li, Deng-Ping Fan, Ming-Ming Cheng
2024 A* conf
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding.
CVPR
Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan
2024 J jnl
Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han
2024 J jnl
RDNeRF: relative depth guided NeRF for dense free view synthesis.
Vis. Comput.
Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren
2024 J jnl
Rendering real-world unbounded scenes with cars by learning positional bias.
Vis. Comput.
Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
2024 J jnl
Revisiting Computer-Aided Tuberculosis Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell.
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
2024 A* conf
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection.
NeurIPS
Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
2024 J jnl
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection.
CoRR
Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
2024 J jnl
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection.
CoRR
Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, Jian Yang
2024 J jnl
Sora Generates Videos with Stunning Geometrical Consistency.
CoRR
Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng
2024 J jnl
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning.
CoRR
Huali Xu, Yongxiang Liu, Li Liu, Shuaifeng Zhi, Shuzhou Sun, Tianpeng Liu, Ming-Ming Cheng
2024 A* conf
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.
NeurIPS
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
2024 J jnl
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.
CoRR
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
2024 J jnl
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction.
CoRR
Xuying Zhang, Yutong Liu, Yangguang Li, Renrui Zhang, Yufei Liu, Kai Wang, Wanli Ouyang, Zhiwei Xiong, Peng Gao, Qibin Hou, Ming-Ming Cheng
2024 A* conf
Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning.
CVPR
Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2024 A* conf
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes.
CVPR
Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng
2024 A* conf
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis.
NeurIPS
Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang
2024 J jnl
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis.
CoRR
Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang
2024 J jnl
Towards RAW Object Detection in Diverse Conditions.
CoRR
Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng
2024 — conf
Towards Stable 3D Object Detection.
ECCV (50)
Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou
2024 J jnl
Towards Stable 3D Object Detection.
CoRR
Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou
2024 A* conf
Traffic Scene Parsing Through the TSP6K Dataset.
CVPR
Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
2024 J jnl
Zone Evaluation: Revealing Spatial Bias in Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng
2023 J jnl
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation.
CoRR
Yunheng Li, Zhong-Yu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
2023 A* conf
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation.
CVPR
Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng
2023 J jnl
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation.
CoRR
Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng
2023 J jnl
Advances in Deep Concealed Scene Understanding.
CoRR
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool
2023 J jnl
Advances in deep concealed scene understanding.
Vis. Intell.
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool
2023 J jnl
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition.
CoRR
Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng
2023 J jnl
Class Incremental Learning with Pre-trained Vision-Language Models.
CoRR
Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng
2023 J jnl
Class-Specific Semantic Reconstruction for Open Set Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
2023 J jnl
Co-Salient Object Detection With Co-Representation Purification.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
2023 J jnl
Co-Salient Object Detection with Co-Representation Purification.
CoRR
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
2023 J jnl
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation.
CoRR
Boyuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou
2023 J jnl
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection.
CoRR
Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou
2023 J jnl
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery.
Comput. Vis. Media
Jie Mei, Yibo Zheng, Ming-Ming Cheng
2023 J jnl
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation.
CoRR
Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou
2023 J jnl
Deeply Explain CNN Via Hierarchical Decomposition.
Int. J. Comput. Vis.
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
2023 J jnl
Delving Deeper into Data Scaling in Masked Image Modeling.
CoRR
Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng
2023 A* conf
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation.
ACM Multimedia
Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023 A* conf
Endpoints Weight Fusion for Class Incremental Semantic Segmentation.
CVPR
Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng
2023 J jnl
Enhancing Representations through Heterogeneous Self-Supervised Learning.
CoRR
Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng
2023 J jnl
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models.
CoRR
Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
2023 J jnl
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning.
CoRR
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2023 A* conf
Large Selective Kernel Network for Remote Sensing Object Detection.
ICCV
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
2023 J jnl
Large Selective Kernel Network for Remote Sensing Object Detection.
CoRR
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
2023 J jnl
Large-Scale Unsupervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr
2023 J jnl
Localization Distillation for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
2023 A* conf
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections.
CVPR
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
2023 J jnl
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections.
CoRR
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
2023 J jnl
Low-Resolution Self-Attention for Semantic Segmentation.
CoRR
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2023 J jnl
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall
2023 A* conf
Masked Autoencoders are Efficient Class Incremental Learners.
ICCV
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023 J jnl
Masked Autoencoders are Efficient Class Incremental Learners.
CoRR
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023 A* conf
Masked Diffusion Transformer is a Strong Image Synthesizer.
ICCV
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023 J jnl
Masked Diffusion Transformer is a Strong Image Synthesizer.
CoRR
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023 A* conf
Multi-Space Neural Radiance Fields.
CVPR
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren
2023 J jnl
Multi-Space Neural Radiance Fields.
CoRR
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren
2023 J jnl
P2T: Pyramid Pooling Transformer for Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng
2023 J jnl
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding.
CoRR
Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan
2023 J jnl
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng
2023 J jnl
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang
2023 J jnl
Referring Camouflaged Object Detection.
CoRR
Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng
2023 J jnl
Revisiting Computer-Aided Tuberculosis Diagnosis.
CoRR
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
2023 J jnl
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything".
CoRR
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool
2023 J jnl
SAM struggles in concealed scenes - empirical study on "Segment Anything".
Sci. China Inf. Sci.
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool
2023 J jnl
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng
2023 A* conf
SLAN: Self-Locator Aided Network for Vision-Language Understanding.
ICCV
Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng
2023 A* conf
SRFormer: Permuted Self-Attention for Single Image Super-Resolution.
ICCV
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou
2023 J jnl
SRFormer: Permuted Self-Attention for Single Image Super-Resolution.
CoRR
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou
2023 J jnl
Salient Objects in Clutter.
IEEE Trans. Pattern Anal. Mach. Intell.
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
2023 J jnl
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes.
CoRR
Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng
2023 J jnl
Towards Spatial Equilibrium Object Detection.
CoRR
Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng
2023 J jnl
Traffic Scene Parsing through the TSP6K Dataset.
CoRR
Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
2023 J jnl
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
2023 J jnl
Visual attention network.
Comput. Vis. Media
Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu
2023 J jnl
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection.
CoRR
Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng
2023 J jnl
Zone Evaluation: Revealing Spatial Bias in Object Detection.
CoRR
Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng
2022 J jnl
A Highly Efficient Model to Study the Semantics of Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Ming Cheng, Shang-hua Gao, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang
2022 J jnl
Attention mechanisms in computer vision: A survey.
Comput. Vis. Media
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu
2022 J jnl
Class-Specific Semantic Reconstruction for Open Set Recognition.
CoRR
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
2022 J jnl
Concealed Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao
2022 J jnl
Contrastive Masked Autoencoders are Stronger Vision Learners.
CoRR
Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng
2022 J jnl
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition.
CoRR
Qibin Hou, Chengze Lu, Ming-Ming Cheng, Jiashi Feng
2022 J jnl
DNA: Deeply Supervised Nonlinear Aggregation for Salient Object Detection.
IEEE Trans. Cybern.
Yun Liu, Ming-Ming Cheng, Xin-Yu Zhang, Guang-Yu Nie, Meng Wang
2022 J jnl
Deep Hough Transform for Semantic Line Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng
2022 J jnl
Deeply Explain CNN via Hierarchical Decomposition.
CoRR
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
2022 J jnl
Designing An Illumination-Aware Network for Deep Image Relighting.
CoRR
Zuo-Liang Zhu, Zhen Li, Ruixun Zhang, Chunle Guo, Ming-Ming Cheng
2022 J jnl
Designing an Illumination-Aware Network for Deep Image Relighting.
IEEE Trans. Image Process.
Zuo-Liang Zhu, Zhen Li, Ruixun Zhang, Chunle Guo, Ming-Ming Cheng
2022 A conf
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis.
BMVC
Shijie Li, Ming-Ming Cheng, Jürgen Gall
2022 J jnl
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis.
CoRR
Shijie Li, Ming-Ming Cheng, Juergen Gall
2022 J jnl
EDN: Salient Object Detection via Extremely-Downsampled Network.
IEEE Trans. Image Process.
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren
2022 J jnl
Editorial: Human visual saliency and artificial neural attention in deep learning.
Neurocomputing
Wenguan Wang, Ming-Ming Cheng, Haibin Ling, Fatih Porikli
2022 J jnl
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition.
IEEE Trans. Image Process.
Le Hui, Mingmei Cheng, Jin Xie, Jian Yang, Ming-Ming Cheng
2022 J jnl
Exploring Feature Self-relation for Self-supervised Transformer.
CoRR
Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng
2022 A* conf
FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation.
ACM Multimedia
Gang Xu, Qibin Hou, Le Zhang, Ming-Ming Cheng
2022 A* conf
FocusCut: Diving into a Focus View in Interactive Segmentation.
CVPR
Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng
2022 J jnl
Interactive Style Transfer: All is Your Palette.
CoRR
Zheng Lin, Zhao Zhang, Kangrui Zhang, Bo Ren, Ming-Ming Cheng
2022 J jnl
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark.
CoRR
Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng
2022 A* conf
KnifeCut: Refining Thin Part Segmentation with Cutting Lines.
ACM Multimedia
Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng
2022 J jnl
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng
2022 A* conf
Localization Distillation for Dense Object Detection.
CVPR
Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng
2022 J jnl
Localization Distillation for Object Detection.
CoRR
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
2022 — conf
Long-Tailed Class Incremental Learning.
ECCV (33)
Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022 J jnl
Long-Tailed Class Incremental Learning.
CoRR
Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022 J jnl
Low-Light Image and Video Enhancement Using Deep Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy
2022 J jnl
MobileSal: Extremely Efficient RGB-D Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
2022 A* conf
On the Connection between Local Attention and Dynamic Depth-wise Convolution.
ICLR
Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang
2022 J jnl
Online Attention Accumulation for Weakly Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
2022 J jnl
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks.
CoRR
Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang
2022 J jnl
Re-Thinking Co-Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen
2022 A* conf
Representation Compensation Networks for Continual Semantic Segmentation.
CVPR
Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
2022 J jnl
Representation Compensation Networks for Continual Semantic Segmentation.
CoRR
Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
2022 — conf
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks.
ECCV (19)
Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu
2022 J jnl
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes.
CoRR
Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
2022 J jnl
Robust Saliency Guidance for Data-free Class Incremental Learning.
CoRR
Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022 J jnl
SANet: A Slice-Aware Network for Pulmonary Nodule Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Mei, Ming-Ming Cheng, Gang Xu, Lan-Ruo Wan, Huan Zhang
2022 J jnl
SLAN: Self-Locator Aided Network for Cross-Modal Understanding.
CoRR
Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Bo Ren, Ming-Ming Cheng
2022 A* conf
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation.
NeurIPS
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu
2022 J jnl
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation.
CoRR
Meng-Hao Guo, Chengze Lu, Qibin Hou, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu
2022 J jnl
Semantic Edge Detection with Diverse Deep Supervision.
Int. J. Comput. Vis.
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao
2022 A* conf
Towards An End-to-End Framework for Flow-Guided Video Inpainting.
CVPR
Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, Ming-Ming Cheng
2022 J jnl
Towards An End-to-End Framework for Flow-Guided Video Inpainting.
CoRR
Zhen Li, Chengze Lu, Jianhua Qin, Chunle Guo, Ming-Ming Cheng
2022 J jnl
Towards Sustainable Self-supervised Learning.
CoRR
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2022 — conf
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder.
ECCV (18)
Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng
2022 J jnl
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder.
CoRR
Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng
2022 J jnl
Visual Attention Network.
CoRR
Meng-Hao Guo, Chengze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shimin Hu
2021 J jnl
Adaptive Deep Metric Learning for Affective Image Retrieval and Classification.
IEEE Trans. Multim.
Xingxu Yao, Dongyu She, Haiwei Zhang, Jufeng Yang, Ming-Ming Cheng, Liang Wang
2021 J jnl
Attention Mechanisms in Computer Vision: A Survey.
CoRR
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu
2021 J jnl
CDNet: Complementary Depth Network for RGB-D Salient Object Detection.
IEEE Trans. Image Process.
Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng
2021 J jnl
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery.
IEEE Trans. Image Process.
Jie Mei, Roujing Li, Wang Gao, Ming-Ming Cheng
2021 J jnl
Concealed Object Detection.
CoRR
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao
2021 J jnl
Correction to "Nonlinear Regression via Deep Negative Correlation Learning".
IEEE Trans. Pattern Anal. Mach. Intell.
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
2021 A* conf
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.
CVPR
Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng
2021 J jnl
Decoupled Spatial Temporal Graphs for Generic Visual Grounding.
CoRR
Qianyu Feng, Yunchao Wei, Ming-Ming Cheng, Yi Yang
2021 J jnl
Delving Deep Into Label Smoothing.
IEEE Trans. Image Process.
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
2021 J jnl
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight.
CoRR
Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang
2021 J jnl
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images.
IEEE Trans. Image Process.
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong
2021 J jnl
Domain Shift Preservation for Zero-Shot Domain Adaptation.
IEEE Trans. Image Process.
Jinghua Wang, Ming-Ming Cheng, Jianmin Jiang
2021 A* conf
Global2Local: Efficient Structure Search for Video Action Segmentation.
CVPR
Shang-hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng
2021 J jnl
Global2Local: Efficient Structure Search for Video Action Segmentation.
CoRR
Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng
2021 J jnl
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
IEEE Trans. Image Process.
Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng
2021 J jnl
Large-scale Unsupervised Semantic Segmentation.
CoRR
Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr
2021 J jnl
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization.
IEEE Trans. Image Process.
Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
2021 J jnl
Lighting the Darkness in the Deep Learning Era.
CoRR
Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy
2021 J jnl
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning.
IEEE Trans. Cybern.
Yun Liu, Yuchao Gu, Xin-Yu Zhang, Weiwei Wang, Ming-Ming Cheng
2021 J jnl
Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video.
IEEE Trans. Image Process.
Shao-Ping Lu, Senmao Li, Rong Wang, Gauthier Lafruit, Ming-Ming Cheng, Adrian Munteanu
2021 J jnl
Nonlinear Regression via Deep Negative Correlation Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
2021 J jnl
Ordered or Orderless: A Revisit for Video Based Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell.
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
2021 J jnl
P2T: Pyramid Pooling Transformer for Scene Understanding.
CoRR
Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng
2021 A* conf
Personalized Image Semantic Segmentation.
ICCV
Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao
2021 J jnl
Personalized Image Semantic Segmentation.
CoRR
Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng
2021 J jnl
Pixel-Level Non-local Image Smoothing With Objective Evaluation.
IEEE Trans. Multim.
Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng
2021 J jnl
RGB-D salient object detection: A survey.
Comput. Vis. Media
Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2021 J jnl
Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation.
IEEE Trans. Image Process.
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
2021 A* conf
Representative Batch Normalization With Feature Calibration.
CVPR
Shang-hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng
2021 J jnl
Res2Net: A New Multi-Scale Backbone Architecture.
IEEE Trans. Pattern Anal. Mach. Intell.
Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip H. S. Torr
2021 J jnl
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks.
IEEE Trans. Neural Networks Learn. Syst.
Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng
2021 J jnl
Rethinking the U-Shape Structure for Salient Object Detection.
IEEE Trans. Image Process.
Jiang-Jiang Liu, Zhi-Ang Liu, Pai Peng, Ming-Ming Cheng
2021 J jnl
Revisiting Video Saliency Prediction in the Deep Learning Era.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji
2021 J jnl
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection.
IEEE Trans. Image Process.
Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng
2021 J jnl
Salient Objects in Clutter.
CoRR
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
2021 A conf
Semi-Supervised Learning with Meta-Gradient.
AISTATS
Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang
2021 J jnl
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation.
IEEE Trans. Image Process.
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
2021 J jnl
Structure-Measure: A New Way to Evaluate Foreground Maps.
Int. J. Comput. Vis.
Ming-Ming Cheng, Deng-Ping Fan
2021 A conf
Structured sparsification with joint optimization of group convolution and channel shuffle.
UAI
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
2021 A* conf
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution.
CVPR
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
2021 J jnl
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution.
CoRR
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
2021 J jnl
Unsupervised Scale-Consistent Depth Learning from Video.
Int. J. Comput. Vis.
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid
2021 J jnl
Unsupervised Scale-consistent Depth Learning from Video.
CoRR
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid
2021 J jnl
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition.
CoRR
Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
2021 A* conf
iNAS: Integral NAS for Device-Aware Salient Object Detection.
ICCV
Yuchao Gu, Shang-hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng
2020 A* conf
Camouflaged Object Detection.
CVPR
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2020 J jnl
Centralized Information Interaction for Salient Object Detection.
CoRR
Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng
2020 J jnl
Conditional Variational Image Deraining.
CoRR
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
2020 J jnl
Conditional Variational Image Deraining.
IEEE Trans. Image Process.
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
2020 J jnl
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.
CoRR
Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng
2020 — conf
Deep Hough Transform for Semantic Line Detection.
ECCV (9)
Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
2020 J jnl
Deep Hough Transform for Semantic Line Detection.
CoRR
Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
2020 J jnl
Delving Deep into Label Smoothing.
CoRR
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
2020 J jnl
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images.
CoRR
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong
2020 J jnl
Dependency Aware Filter Pruning.
CoRR
Kai Zhao, Xin-Yu Zhang, Qi Han, Ming-Ming Cheng
2020 J jnl
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton.
CoRR
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng
2020 J jnl
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton.
IEEE Trans. Image Process.
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng
2020 J jnl
EDN: Salient Object Detection via Extremely-Downsampled Network.
CoRR
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng
2020 J jnl
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence.
Int. J. Comput. Vis.
Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid
2020 J jnl
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow.
CoRR
Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng
2020 J jnl
Geometric Style Transfer.
CoRR
Xiao-Chang Liu, Xuan-Yi Li, Ming-Ming Cheng, Peter Hall
2020 — conf
Gradient-Induced Co-Saliency Detection.
ECCV (12)
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
2020 J jnl
Gradient-Induced Co-Saliency Detection.
CoRR
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
2020 — conf
Highly Efficient Salient Object Detection with 100K Parameters.
ECCV (6)
Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan
2020 J jnl
Highly Efficient Salient Object Detection with 100K Parameters.
CoRR
Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan
2020 A* conf
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection.
NeurIPS
Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo
2020 A* conf
Image Formation Model Guided Deep Image Super-Resolution.
AAAI
Jinshan Pan, Yang Liu, Deqing Sun, Jimmy S. J. Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang
2020 A* conf
Improving Convolutional Networks With Self-Calibrated Convolutions.
CVPR
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng
2020 A* conf
Interactive Image Segmentation With First Click Attention.
CVPR
Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu
2020 J jnl
Interactive Knowledge Distillation.
CoRR
Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang
2020 J jnl
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
CoRR
Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng
2020 J jnl
LID 2020: The Learning from Imperfect Data Challenge Results.
CoRR
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He
2020 J jnl
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation.
CoRR
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall
2020 J jnl
MobileSal: Extremely Efficient RGB-D Salient Object Detection.
CoRR
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
2020 J jnl
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle.
CoRR
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
2020 J jnl
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image.
IEEE Trans. Image Process.
Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
2020 A* conf
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection.
AAAI
Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu
2020 J jnl
RGB-D Salient Object Detection: A Survey.
CoRR
Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2020 J jnl
Re-thinking Co-Salient Object Detection.
CoRR
Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen
2020 J jnl
Refinedbox: Refining for fewer and high-quality object proposals.
Neurocomputing
Yun Liu, Shijie Li, Ming-Ming Cheng
2020 J jnl
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation.
CoRR
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
2020 A* conf
Rethinking Computer-Aided Tuberculosis Diagnosis.
CVPR
Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng
2020 J jnl
S4Net: Single stage salient-instance segmentation.
Comput. Vis. Media
Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
2020 J jnl
Self-Paced Balance Learning for Clinical Skin Disease Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang
2020 J jnl
Semi-Supervised Learning with Meta-Gradient.
CoRR
Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
2020 J jnl
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation.
CoRR
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
2020 A* conf
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing.
CVPR
Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng
2020 J jnl
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing.
CoRR
Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng
2020 J jnl
Structure-Preserving Neural Style Transfer.
IEEE Trans. Image Process.
Ming-Ming Cheng, Xiao-Chang Liu, Jie Wang, Shao-Ping Lu, Yu-Kun Lai, Paul L. Rosin
2020 A* conf
Taking a Deeper Look at Co-Salient Object Detection.
CVPR
Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng
2020 A* conf
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction.
CVPR
Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren
2020 J jnl
WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection.
IEEE Trans. Multim.
Dongyu She, Jufeng Yang, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin, Liang Wang
2019 A* conf
A Simple Pooling-Based Design for Real-Time Salient Object Detection.
CVPR
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
2019 J jnl
A Simple Pooling-Based Design for Real-Time Salient Object Detection.
CoRR
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
2019 J jnl
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning.
CoRR
Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng
2019 A conf
An Evaluation of Feature Matchers for Fundamental Matrix Estimation.
BMVC
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid
2019 J jnl
An Evaluation of Feature Matchers forFundamental Matrix Estimation.
CoRR
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid
2019 A* conf
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection.
CVPR
Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao
2019 J jnl
BING: Binarized normed gradients for objectness estimation at 300fps.
Comput. Vis. Media
Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr
2019 A* conf
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection.
CVPR
Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang
2019 J jnl
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection.
CoRR
Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xin-Yu Zhang, Vahan Petrosyan, Ming-Ming Cheng
2019 J jnl
Deeply Supervised Salient Object Detection with Short Connections.
IEEE Trans. Pattern Anal. Mach. Intell.
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2019 A* conf
EGNet: Edge Guidance Network for Salient Object Detection.
ICCV
Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng
2019 J jnl
EGNet: Edge Guidance Network for Salient Object Detection.
CoRR
Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng
2019 J jnl
Geometry-Aware ICP for Scene Reconstruction from RGB-D Camera.
J. Comput. Sci. Technol.
Bo Ren, Jia-Cheng Wu, Ya-Lei Lv, Ming-Ming Cheng, Shao-Ping Lu
2019 A* conf
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition.
CVPR
Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang
2019 A* conf
Image Inpainting With Learnable Bidirectional Attention Maps.
ICCV
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding
2019 J jnl
Image Inpainting with Learnable Bidirectional Attention Maps.
CoRR
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding
2019 A* conf
Integral Object Mining via Online Attention Accumulation.
ICCV
Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong
2019 A* conf
Joint Acne Image Grading and Counting via Label Distribution Learning.
ICCV
Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang
2019 J jnl
Joint salient object detection and existence prediction.
Frontiers Comput. Sci.
Huaizu Jiang, Ming-Ming Cheng, Shijie Li, Ali Borji, Jingdong Wang
2019 J jnl
LSANet: Feature Learning on Point Sets by Local Spatial Attention.
CoRR
Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Ming-Ming Cheng, Kai Wang, Shao-Ping Lu
2019 A* conf
Multi-Level Context Ultra-Aggregation for Stereo Matching.
CVPR
Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang
2019 A* conf
Optimizing the F-Measure for Threshold-Free Salient Object Detection.
ICCV
Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng
2019 J jnl
Ordered or Orderless: A Revisit for Video based Person Re-Identification.
CoRR
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
2019 A* conf
RegularFace: Deep Face Recognition via Exclusive Regularization.
CVPR
Kai Zhao, Jingyi Xu, Ming-Ming Cheng
2019 J jnl
Res2Net: A New Multi-scale Backbone Architecture.
CoRR
Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip H. S. Torr
2019 J jnl
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks.
CoRR
Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng
2019 J jnl
Review of Visual Saliency Detection With Comprehensive Information.
IEEE Trans. Circuits Syst. Video Technol.
Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang
2019 J jnl
Richer Convolutional Features for Edge Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang
2019 J jnl
Robust Regression via Deep Negative Correlation Learning.
CoRR
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
2019 A* conf
S4Net: Single Stage Salient-Instance Segmentation.
CVPR
Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
2019 J jnl
Salient object detection: A survey.
Comput. Vis. Media
Ali Borji, Ming-Ming Cheng, Qibin Hou, Huaizu Jiang, Jia Li
2019 A* conf
Scoot: A Perceptual Metric for Facial Sketches.
ICCV
Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji
2019 J jnl
Scoot: A Perceptual Metric for Facial Sketches.
CoRR
Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji
2019 A* conf
Shifting More Attention to Video Salient Object Detection.
CVPR
Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen
2019 J jnl
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship.
IEEE Trans. Image Process.
Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang
2019 J jnl
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship.
CoRR
Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang
2019 J jnl
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.
CoRR
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng
2019 A* conf
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
NeurIPS
Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid
2019 J jnl
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
CoRR
Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid
2019 A* conf
Zero-Shot Emotion Recognition via Affective Structural Embedding.
ICCV
Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang
2018 — conf
Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation.
ECCV (9)
Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Gang Yu, Ralph R. Martin, Shi-Min Hu
2018 A* conf
Automatic Model Selection in Subspace Clustering via Triplet Relationships.
AAAI
Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng
2018 J jnl
CODE: Coherence Based Decision Boundaries for Feature Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell.
Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H. S. Torr, Minh N. Do, Jiangbo Lu
2018 A* conf
Crowd Counting With Deep Negative Correlation Learning.
CVPR
Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng
2018 — conf
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System.
ACCV (6)
Yahui Wang, Shaojun Cai, Shijie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng
2018 J jnl
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System.
CoRR
Yahui Wang, Shaojun Cai, Shijie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng
2018 A* conf
DEL: Deep Embedding Learning for Efficient Image Segmentation.
IJCAI
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
2018 A* conf
Direct Line Guidance Odometry.
ICRA
Shijie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu
2018 A* conf
Enhanced-alignment Measure for Binary Foreground Map Evaluation.
IJCAI
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
2018 J jnl
Enhanced-alignment Measure for Binary Foreground Map Evaluation.
CoRR
Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
2018 A* conf
FLIC: Fast Linear Iterative Clustering With Active Search.
AAAI
Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin
2018 J jnl
FLIC: Fast linear iterative clustering with active search.
Comput. Vis. Media
Jiaxing Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin
2018 J jnl
Face Sketch Synthesis Style Similarity: A New Structure Co-occurrence Texture Measure.
CoRR
Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin
2018 A* conf
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection.
IJCAI
Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
2018 J jnl
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection.
CoRR
Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
2018 A* conf
Historical Context-based Style Classification of Painting Images via Label Distribution Learning.
ACM Multimedia
Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng
2018 J jnl
Learning Pixel-wise Labeling from the Internet without Human Interaction.
CoRR
Yun Liu, Yujun Shi, Jiawang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng
2018 J jnl
MatchBench: An Evaluation of Feature Matchers.
CoRR
Jiawang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu
2018 C conf
Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition.
VCIP
Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong
2018 J jnl
Optimizing the F-measure for Threshold-free Salient Object Detection.
CoRR
Kai Zhao, Shanghua Gao, Qibin Hou, Dandan Li, Ming-Ming Cheng
2018 — conf
Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure.
PCM (1)
Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong
2018 J jnl
Recognition From Web Data: A Progressive Filtering Approach.
IEEE Trans. Image Process.
Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng
2018 J jnl
Review of Visual Saliency Detection with Comprehensive Information.
CoRR
Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, Qingming Huang
2018 A* conf
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model.
CVPR
Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji
2018 J jnl
Revisiting Video Saliency: A Large-scale Benchmark and a New Model.
CoRR
Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji
2018 — conf
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground.
ECCV (15)
Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji
2018 J jnl
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground.
CoRR
Deng-Ping Fan, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji, Ming-Ming Cheng
2018 A* conf
Self-Erasing Network for Integral Object Attention.
NeurIPS
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
2018 J jnl
Self-Erasing Network for Integral Object Attention.
CoRR
Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng
2018 J jnl
Semantic Edge Detection with Diverse Deep Supervision.
CoRR
Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao
2018 J jnl
Sequential Optimization for Efficient High-Quality Object Proposal Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
2018 A conf
Structured Skip List: A Compact Data Structure for 3D Reconstruction.
IROS
Shijie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu
2018 J jnl
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction.
CoRR
Qibin Hou, Jiang-Jiang Liu, Ming-Ming Cheng, Ali Borji, Philip H. S. Torr
2018 A* conf
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues.
AAAI
Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng
2018 J jnl
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions.
IEEE Trans. Multim.
Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang
2018 J jnl
WebSeg: Learning Semantic Segmentation from Web Searches.
CoRR
Qibin Hou, Ming-Ming Cheng, Jiang-Jiang Liu, Philip H. S. Torr
2017 — conf
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation.
EMMCVPR
Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I
CCCV (1)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II
CCCV (2)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 — ed.
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III
CCCV (3)
Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017 A* conf
Deeply Supervised Salient Object Detection with Short Connections.
CVPR
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2017 — conf
Depth-aware neural style transfer.
NPAR@Expressive
Xiao-Chang Liu, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin
2017 J jnl
Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017).
Graph. Model.
Niloy J. Mitra, Yizhou Yu, Ming-Ming Cheng
2017 — conf
Fusing Image and Segmentation Cues for Skeleton Extraction in the Wild.
ICCV Workshops
Xiaolong Liu, Pengyuan Lyu, Xiang Bai, Ming-Ming Cheng
2017 A* conf
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence.
CVPR
Jiawang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng
2017 J jnl
Intelligent Visual Media Processing: When Graphics Meets Vision.
J. Comput. Sci. Technol.
Ming-Ming Cheng, Qibin Hou, Song-Hai Zhang, Paul L. Rosin
2017 A* conf
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach.
CVPR
Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan
2017 J jnl
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach.
CoRR
Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan
2017 A* conf
Richer Convolutional Features for Edge Detection.
CVPR
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai
2017 J jnl
S
CoRR
Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Tai-Jiang Mu, Shi-Min Hu
2017 J jnl
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan
2017 J jnl
Salient Object Detection: A Discriminative Regional Feature Integration Approach.
Int. J. Comput. Vis.
Jingdong Wang, Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Xiaowei Hu, Nanning Zheng
2017 A* conf
Structure-Measure: A New Way to Evaluate Foreground Maps.
ICCV
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji
2017 J jnl
Structure-measure: A New Way to Evaluate Foreground Maps.
CoRR
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji
2017 A conf
Video salient object detection via cross-frame cellular automata.
ICME
Jingfan Guo, Tongwei Ren, Lei Huang, Xingyu Liu, Ming-Ming Cheng, Gangshan Wu
2016 J jnl
Deeply supervised salient object detection with short connections.
CoRR
Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
2016 J jnl
FLIC: Fast Linear Iterative Clustering with Active Search.
CoRR
Jia-Xin Zhao, Ren Bo, Qibin Hou, Ming-Ming Cheng
2016 — conf
HFS: Hierarchical Feature Selection for Efficient Image Segmentation.
ECCV (3)
Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu
2016 J jnl
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels.
CoRR
Qinbin Hou, Puneet Kumar Dokania, Daniela Massiceti, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr
2016 J jnl
Richer Convolutional Features for Edge Detection.
CoRR
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai
2016 J jnl
Struck: Structured Output Tracking with Kernels.
IEEE Trans. Pattern Anal. Mach. Intell.
Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr
2015 J jnl
BING++: A Fast High Quality Object Proposal Generator at 100fps.
CoRR
Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
2015 J jnl
DenseCut: Densely Connected CRFs for Realtime GrabCut.
Comput. Graph. Forum
Ming-Ming Cheng, Victor Adrian Prisacariu, Shuai Zheng, Philip H. S. Torr, Carsten Rother
2015 J jnl
Global Contrast Based Salient Region Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Philip H. S. Torr, Shi-Min Hu
2015 — conf
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds.
GCPR
Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother
2015 J jnl
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation.
CoRR
Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan
2015 J jnl
SaliencyRank: Two-stage manifold ranking for salient object detection.
Comput. Vis. Media
Wei Qi, Ming-Ming Cheng, Ali Borji, Huchuan Lu, Lianfa Bai
2015 J jnl
Salient Object Detection: A Benchmark.
CoRR
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li
2015 J jnl
Salient Object Detection: A Benchmark.
IEEE Trans. Image Process.
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li
2015 J jnl
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.
CoRR
Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr
2015 J jnl
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips.
ACM Trans. Graph.
Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr
2015 — conf
SemanticPaint: interactive segmentation and learning of 3D world.
SIGGRAPH Talks
Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr
2015 — conf
SemanticPaint: interactive segmentation and learning of 3D worlds.
SIGGRAPH Emerging Technologies
Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr
2014 J jnl
A Framework for the Volumetric Integration of Depth Images.
CoRR
Victor Adrian Prisacariu, Olaf Kähler, Ming-Ming Cheng, Carl Yuheng Ren, Julien P. C. Valentin, Philip H. S. Torr, Ian D. Reid, David William Murray
2014 A* conf
BING: Binarized Normed Gradients for Objectness Estimation at 300fps.
CVPR
Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr
2014 — conf
Bilateral Functions for Global Motion Modeling.
ECCV (4)
Wen-Yan Daniel Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip H. S. Torr
2014 A* conf
Dense Semantic Image Segmentation with Objects and Attributes.
CVPR
Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr
2014 J jnl
ImageSpirit: Verbal Guided Image Parsing.
ACM Trans. Graph.
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2014 J jnl
Salient Object Detection: A Discriminative Regional Feature Integration Approach.
CoRR
Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Yihong Gong, Nanning Zheng, Jingdong Wang
2014 J jnl
Salient Object Detection: A Survey.
CoRR
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, Jia Li
2014 J jnl
SalientShape: group saliency in image collections.
Vis. Comput.
Ming-Ming Cheng, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu
2014 — conf
The Visual Object Tracking VOT2014 Challenge Results.
ECCV Workshops (2)
Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu
2013 A* conf
Efficient Salient Region Detection with Soft Image Abstraction.
ICCV
Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook
2013 J jnl
ImageSpirit: Verbal Guided Image Parsing.
CoRR
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
2013 J jnl
Internet visual media processing: a survey with graphics and vision applications.
Vis. Comput.
Shi-Min Hu, Tao Chen, Kun Xu, Ming-Ming Cheng, Ralph R. Martin
2013 J jnl
PoseShop: Human Image Database Construction and Personalized Content Synthesis.
IEEE Trans. Vis. Comput. Graph.
Tao Chen, Ping Tan, Li-Qian Ma, Ming-Ming Cheng, Ariel Shamir, Shi-Min Hu
2013 A* conf
Robust Non-parametric Data Fitting for Correspondence Modeling.
ICCV
Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel T. Crook
2012 J jnl
ImageAdmixture: Putting Together Dissimilar Objects from Groups.
IEEE Trans. Vis. Comput. Graph.
Fang-Lue Zhang, Ming-Ming Cheng, Jiaya Jia, Shi-Min Hu
2011 J jnl
Connectedness of Random Walk Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Ming Cheng, Guo-Xin Zhang
2011 A* conf
Global contrast based salient region detection.
CVPR
Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu
2010 J jnl
RepFinder: finding approximately repeated scene elements for image editing.
ACM Trans. Graph.
Ming-Ming Cheng, Fang-Lue Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu
2009 J jnl
A Shape-Preserving Approach to Image Resizing.
Comput. Graph. Forum
Guo-Xin Zhang, Ming-Ming Cheng, Shi-Min Hu, Ralph R. Martin
2009 J jnl
Sketch2Photo: internet image montage.
ACM Trans. Graph.
Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu