Xinchao Wang

465 papers A* 143A 5B 3C 2Misc 1Journal 268Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language Models.
CoRR
Lexiang Xiong, Qi Li, Jingwen Ye, Xinchao Wang
2026 A* conf
Exploiting Blurry Representations for Event-guided Video Super-Resolution.
AAAI
Zeyu Xiao, Xinchao Wang
2026 A* conf
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation.
AAAI
Bonan Li, Yinhan Hu, Songhua Liu, Zeyu Xiao, Xinchao Wang
2026 J jnl
Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers.
CoRR
Yuhe Liu, Zhenxiong Tan, Yujia Hu, Songhua Liu, Xinchao Wang
2026 J jnl
Invisible Safety Threat: Malicious Finetuning for LLM via Steganography.
CoRR
Guangnian Wan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2026 J jnl
Make Geometry Matter for Spatial Reasoning.
CoRR
Shihua Zhang, Qiuhong Shen, Shizun Wang, Tianbo Pan, Xinchao Wang
2026 A* conf
Minute-Long Videos with Dual Parallelisms.
AAAI
Zeqing Wang, Bowen Zheng, Xingyi Yang, Zhenxiong Tan, Yuecong Xu, Xinchao Wang
2026 J jnl
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors.
CoRR
Lingfeng Ren, Weihao Yu, Runpeng Yu, Xinchao Wang
2026 J jnl
Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior.
CoRR
Bo Yin, Qi Li, Runpeng Yu, Xinchao Wang
2026 J jnl
Rethinking Token Reduction for Large Vision-Language Models.
CoRR
Yi Wang, Haofei Zhang, Qihan Huang, Anda Cao, Gongfan Fang, Wei Wang, Xuan Jin, Jie Song, Mingli Song, Xinchao Wang
2026 J jnl
Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models.
CoRR
Guangnian Wan, Qi Li, Gongfan Fang, Xinyin Ma, Xinchao Wang
2026 J jnl
Sponge Tool Attack: Stealthy Denial-of-Efficiency against Tool-Augmented Agentic Reasoning.
CoRR
Qi Li, Xinchao Wang
2026 A* conf
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models.
AAAI
Shuyi Ouyang, Hongyi Wang, Gongfan Fang, Xinyin Ma, Lanfen Lin, Xinchao Wang
2026 J jnl
ViFeEdit: A Video-Free Tuner of Your Video Diffusion Transformer.
CoRR
Ruonan Yu, Zhenxiong Tan, Zigeng Chen, Songhua Liu, Xinchao Wang
2026 J jnl
Zero-Trust Enabled Anonymous Continuous Cross-Domain Authentication for UAVs: A Blockchain-Based Approach.
IEEE Trans. Netw. Sci. Eng.
Xinchao Wang, Wei Wang, Cheng Huang, Ping Cao
2026 J jnl
dVoting: Fast Voting for dLLMs.
CoRR
Sicheng Feng, Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 J jnl
1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering.
CoRR
Yuheng Yuan, Qiuhong Shen, Xingyi Yang, Xinchao Wang
2025 J jnl
C4D: 4D Made from 3D through Dual Correspondences.
CoRR
Shizun Wang, Zhenxiang Jiang, Xingyi Yang, Xinchao Wang
2025 J jnl
Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps.
CoRR
Sicheng Feng, Song Wang, Shuyi Ouyang, Lingdong Kong, Zikai Song, Jianke Zhu, Huan Wang, Xinchao Wang
2025 J jnl
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation.
CoRR
Letian Zhou, Songhua Liu, Xinchao Wang
2025 A* conf
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation.
CVPR
Bonan Li, Zicheng Zhang, Xingyi Yang, Xinchao Wang
2025 — conf
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
ACL (1)
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 J jnl
CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
CoRR
Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 A* conf
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.
CVPR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 J jnl
ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation.
CoRR
Siao Tang, Xinyin Ma, Gongfan Fang, Xinchao Wang
2025 A* conf
Control and Realism: Best of Both Worlds in Layout-to-Image without Training.
ICML
Bonan Li, Yinhan Hu, Songhua Liu, Xinchao Wang
2025 J jnl
Control and Realism: Best of Both Worlds in Layout-to-Image without Training.
CoRR
Bonan Li, Yinhan Hu, Songhua Liu, Xinchao Wang
2025 A* conf
Diffusion Model is Effectively Its Own Teacher.
CVPR
Xinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang, Xinchao Wang
2025 J jnl
Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey.
Int. J. Comput. Vis.
Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen
2025 J jnl
Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.
CoRR
Runpeng Yu, Xinyin Ma, Xinchao Wang
2025 J jnl
Discrete Diffusion in Large Language and Multimodal Models: A Survey.
CoRR
Runpeng Yu, Qi Li, Xinchao Wang
2025 J jnl
Diversity-Guided MLP Reduction for Efficient Large Vision Transformers.
CoRR
Chengchao Shen, Hourun Zhu, Gongfan Fang, Jianxin Wang, Xinchao Wang
2025 J jnl
Don't Forget the Nonlinearity: Unlocking Activation Functions in Efficient Fine-Tuning.
CoRR
Bo Yin, Xingyi Yang, Xinchao Wang
2025 A* conf
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions.
AAAI
Xin Yang, Xin Zhang, Xinchao Wang
2025 A* conf
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling.
AAAI
Hanyang Kong, Xingyi Yang, Xinchao Wang
2025 J jnl
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling.
CoRR
Hanyang Kong, Xingyi Yang, Xinchao Wang
2025 J jnl
Efficient Reasoning Models: A Survey.
CoRR
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 J jnl
Efficient Reasoning Models: A Survey.
Trans. Mach. Learn. Res.
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 A* conf
Event-based Video Super-Resolution via State Space Models.
CVPR
Zeyu Xiao, Xinchao Wang
2025 J jnl
Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs.
CoRR
Qi Li, Runpeng Yu, Haiquan Lu, Xinchao Wang
2025 J jnl
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Xinchao Wang, Yanfeng Wang
2025 A* conf
Few-shot Implicit Function Generation via Equivariance.
CVPR
Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang
2025 J jnl
Few-shot Implicit Function Generation via Equivariance.
CoRR
Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang
2025 J jnl
Flash Sculptor: Modular 3D Worlds from Objects.
CoRR
Yujia Hu, Songhua Liu, Xingyi Yang, Xinchao Wang
2025 A* conf
GFlow: Recovering 4D World from Monocular Video.
AAAI
Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang
2025 A* conf
Generative Sparse-View Gaussian Splatting.
CVPR
Hanyang Kong, Xingyi Yang, Xinchao Wang
2025 A* conf
GraphBridge: Towards Arbitrary Transfer Learning in GNNs.
ICLR
Li Ju, Xingyi Yang, Qi Li, Xinchao Wang
2025 J jnl
GraphBridge: Towards Arbitrary Transfer Learning in GNNs.
CoRR
Li Ju, Xingyi Yang, Qi Li, Xinchao Wang
2025 A* conf
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
ICLR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2025 A* conf
Hash3D: Training-free Acceleration for 3D Generation.
CVPR
Xingyi Yang, Songhua Liu, Xinchao Wang
2025 J jnl
Image Editing As Programs with Diffusion Models.
CoRR
Yujia Hu, Songhua Liu, Zhenxiong Tan, Xingyi Yang, Xinchao Wang
2025 J jnl
In-Video Instructions: Visual Signals as Generative Control.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 J jnl
Introducing Visual Perception Token into Multimodal Large Language Model.
CoRR
Runpeng Yu, Xinyin Ma, Xinchao Wang
2025 A* conf
Kolmogorov-Arnold Transformer.
ICLR
Xingyi Yang, Xinchao Wang
2025 J jnl
Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing.
Int. J. Comput. Vis.
Tao Wang, Li Yuan, Xinchao Wang, Jiashi Feng
2025 A* conf
MambaOut: Do We Really Need Mamba for Vision?
CVPR
Weihao Yu, Xinchao Wang
2025 J jnl
Minute-Long Videos with Dual Parallelisms.
CoRR
Zeqing Wang, Bowen Zheng, Xingyi Yang, Zhenxiong Tan, Yuecong Xu, Xinchao Wang
2025 J jnl
MixReasoning: Switching Modes to Think.
CoRR
Haiquan Lu, Gongfan Fang, Xinyin Ma, Qi Li, Xinchao Wang
2025 J jnl
Multi-Level Collaboration in Model Merging.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2025 A* conf
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks.
ICLR
Runpeng Yu, Xinchao Wang
2025 J jnl
OminiControl2: Efficient Conditioning for Diffusion Transformers.
CoRR
Zhenxiong Tan, Qiaochu Xue, Xingyi Yang, Songhua Liu, Xinchao Wang
2025 — conf
Open-World Authorship Attribution.
ACL (Findings)
Xinhao Tan, Songhua Liu, Xia Cong, Kunjun Li, Xinchao Wang
2025 J jnl
PE3R: Perception-Efficient 3D Reconstruction.
CoRR
Jie Hu, Shizun Wang, Xinchao Wang
2025 A* conf
POSTA: A Go-to Framework for Customized Artistic Poster Generation.
CVPR
Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu, Xinchao Wang
2025 J jnl
POSTA: A Go-to Framework for Customized Artistic Poster Generation.
CoRR
Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu, Xinchao Wang
2025 J jnl
PixelThink: Towards Efficient Chain-of-Pixel Reasoning.
CoRR
Song Wang, Gongfan Fang, Lingdong Kong, Xiangtai Li, Jianyun Xu, Sheng Yang, Qiang Li, Jianke Zhu, Xinchao Wang
2025 A* conf
Point Cloud Dataset Distillation.
ICML
Deyu Bo, Xinchao Wang
2025 A* conf
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.
CVPR
Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang
2025 J jnl
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.
CoRR
Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang
2025 A* conf
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting.
ICLR
Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan
2025 J jnl
Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images.
CoRR
Lingao Xiao, Songhua Liu, Yang He, Xinchao Wang
2025 J jnl
Seeing World Dynamics in a Nutshell.
CoRR
Qiuhong Shen, Xuanyu Yi, Mingbao Lin, Hanwang Zhang, Shuicheng Yan, Xinchao Wang
2025 J jnl
SparseD: Sparse Attention for Diffusion Language Models.
CoRR
Zeqing Wang, Gongfan Fang, Xinyin Ma, Xingyi Yang, Xinchao Wang
2025 J jnl
SpotEdit: Selective Region Editing in Diffusion Transformers.
CoRR
Zhibin Qin, Zhenxiong Tan, Zeqing Wang, Songhua Liu, Xinchao Wang
2025 J jnl
Task-to-Instance Prompt Learning for Vision-Language Models at Test Time.
IEEE Trans. Image Process.
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2025 J jnl
Test3R: Learning to Reconstruct 3D at Test Time.
CoRR
Yuheng Yuan, Qiuhong Shen, Shizun Wang, Xingyi Yang, Xinchao Wang
2025 J jnl
Thinkless: LLM Learns When to Think.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2025 A* conf
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.
AAAI
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2025 A* conf
TinyFusion: Diffusion Transformers Learned Shallow.
CVPR
Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang
2025 J jnl
Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning.
CoRR
Bonan Li, Zicheng Zhang, Songhua Liu, Weihao Yu, Xinchao Wang
2025 A* conf
Ultra-Resolution Adaptation with Ease.
ICML
Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang
2025 J jnl
Ultra-Resolution Adaptation with Ease.
CoRR
Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang
2025 J jnl
Understanding Dataset Distillation via Spectral Filtering.
CoRR
Deyu Bo, Songhua Liu, Xinchao Wang
2025 J jnl
VeriThinker: Learning to Verify Makes Reasoning Model Efficient.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Ruonan Yu, Xinchao Wang
2025 J jnl
Vid-SME: Membership Inference Attacks against Large Video Understanding Models.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2025 J jnl
Vision Bridge Transformer at Scale.
CoRR
Zhenxiong Tan, Zeqing Wang, Xingyi Yang, Songhua Liu, Xinchao Wang
2025 J jnl
WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion.
CoRR
Hanyang Kong, Xingyi Yang, Xiaoxu Zheng, Xinchao Wang
2025 J jnl
dKV-Cache: The Cache for Diffusion Language Models.
CoRR
Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang
2025 J jnl
dParallel: Learnable Parallel Decoding for dLLMs.
CoRR
Zigeng Chen, Gongfan Fang, Xinyin Ma, Ruonan Yu, Xinchao Wang
2024 J jnl
A novel multi-view contrastive learning for herb recommendation.
Appl. Intell.
Qiyuan Yang, Zhongtian Cheng, Yan Kang, Xinchao Wang
2024 J jnl
A systematic review of image-level camouflaged object detection with deep learning.
Neurocomputing
Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang
2024 A* conf
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images.
CVPR
Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
2024 J jnl
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images.
CoRR
Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
2024 J jnl
Adversarial Training: A Survey.
CoRR
Mengnan Zhao, Lihe Zhang, Jingwen Ye, Huchuan Lu, Baocai Yin, Xinchao Wang
2024 B conf
Anonymous Cross-domain Authentication and Key Agreement Scheme for UAV.
GLOBECOM
Xinchao Wang, Wei Wang, Yiliang Liu, Ping Cao
2024 A* conf
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.
NeurIPS
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
2024 J jnl
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
2024 — conf
Attention Prompting on Image for Large Vision-Language Models.
ECCV (30)
Runpeng Yu, Weihao Yu, Xinchao Wang
2024 J jnl
Attention Prompting on Image for Large Vision-Language Models.
CoRR
Runpeng Yu, Weihao Yu, Xinchao Wang
2024 A* conf
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.
ICML
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2024 J jnl
Blockchain-Based Certificateless Conditional Anonymous Authentication for IIoT.
IEEE Syst. J.
Xinchao Wang, Wei Wang, Cheng Huang, Ping Cao, Youwen Zhu, Qihui Wu
2024 J jnl
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up.
CoRR
Songhua Liu, Zhenxiong Tan, Xinchao Wang
2024 J jnl
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.
CoRR
Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 J jnl
Compositional Video Generation as Flow Equalization.
CoRR
Xingyi Yang, Xinchao Wang
2024 J jnl
Dataset Distillation: A Comprehensive Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Ruonan Yu, Songhua Liu, Xinchao Wang
2024 A* conf
DeepCache: Accelerating Diffusion Models for Free.
CVPR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 A* conf
Distilled Datamodel with Reverse Gradient Matching.
CVPR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 J jnl
Distilled Datamodel with Reverse Gradient Matching.
CoRR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 — conf
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions.
ECCV (47)
Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan
2024 J jnl
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions.
CoRR
Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan
2024 J jnl
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation.
CoRR
Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang
2024 — conf
DreamDrone: Text-to-Image Diffusion Models Are Zero-Shot Perpetual View Generators.
ECCV (13)
Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang
2024 — conf
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation.
ECCV (67)
Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He
2024 J jnl
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation.
CoRR
Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He
2024 — conf
Encapsulating Knowledge in One Prompt.
ECCV (65)
Qi Li, Runpeng Yu, Xinchao Wang
2024 J jnl
Encapsulating Knowledge in One Prompt.
CoRR
Qi Li, Runpeng Yu, Xinchao Wang
2024 J jnl
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.
CoRR
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang
2024 — conf
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally.
ECCV (22)
Qiuhong Shen, Xingyi Yang, Xinchao Wang
2024 J jnl
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally.
CoRR
Qiuhong Shen, Xingyi Yang, Xinchao Wang
2024 J jnl
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation.
CoRR
Bonan Li, Zicheng Zhang, Xingyi Yang, Xinchao Wang
2024 J jnl
GFlow: Recovering 4D World from Monocular Video.
CoRR
Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang
2024 J jnl
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction.
CoRR
Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang
2024 J jnl
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
CoRR
Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Hash3D: Training-free Acceleration for 3D Generation.
CoRR
Xingyi Yang, Xinchao Wang
2024 J jnl
Heavy Labels Out! Dataset Distillation with Label Space Lightening.
CoRR
Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang
2024 J jnl
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation.
CoRR
Yinwei Wu, Xianpan Zhou, Bing Ma, Xuefeng Su, Kai Ma, Xinchao Wang
2024 A* conf
Implicit Curriculum in Procgen Made Explicit.
NeurIPS
Zhenxiong Tan, Kaixin Wang, Xinchao Wang
2024 A* conf
InceptionNeXt: When Inception Meets ConvNeXt.
CVPR
Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
2024 — conf
Isomorphic Pruning for Vision Models.
ECCV (30)
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
2024 J jnl
Isomorphic Pruning for Vision Models.
CoRR
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
2024 J jnl
KAN or MLP: A Fairer Comparison.
CoRR
Runpeng Yu, Weihao Yu, Xinchao Wang
2024 J jnl
Kolmogorov-Arnold Transformer.
CoRR
Xingyi Yang, Xinchao Wang
2024 A* conf
Language Model as Visual Explainer.
NeurIPS
Xingyi Yang, Xinchao Wang
2024 J jnl
Language Model as Visual Explainer.
CoRR
Xingyi Yang, Xinchao Wang
2024 A* conf
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.
NeurIPS
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
2024 J jnl
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.
CoRR
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
2024 J jnl
LinFusion: 1 GPU, 1 Minute, 16K Image.
CoRR
Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang
2024 A conf
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.
INTERSPEECH
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 J jnl
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.
CoRR
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
2024 J jnl
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities.
CoRR
Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang
2024 A* conf
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.
ICML
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang
2024 A* conf
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling.
NeurIPS
Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
2024 J jnl
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling.
CoRR
Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
2024 J jnl
MambaOut: Do We Really Need Mamba for Vision?
CoRR
Weihao Yu, Xinchao Wang
2024 A* conf
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.
NeurIPS
Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2024 J jnl
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.
CoRR
Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
2024 J jnl
MetaFormer Baselines for Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
2024 A* conf
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters.
IJCAI
Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang
2024 A* conf
MindBridge: A Cross-Subject Brain Decoding Framework.
CVPR
Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang
2024 J jnl
MindBridge: A Cross-Subject Brain Decoding Framework.
CoRR
Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang
2024 — conf
Multi-scale Spatial Feature Aggregation For Efficient Super Resolution.
ICONIP (7)
Xinchao Wang, Hongxiang Li, Xinzhong Sun, Lihong Zhao, Liqiang Wang, Kai Zhang, Xuzhen Hu, Yong Wang, Yuexian Zou
2024 A* conf
Mutual-Modality Adversarial Attack with Semantic Perturbation.
AAAI
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 A* conf
Neural Lineage.
CVPR
Runpeng Yu, Xinchao Wang
2024 J jnl
Neural Lineage.
CoRR
Runpeng Yu, Xinchao Wang
2024 — conf
Neural Metamorphosis.
ECCV (34)
Xingyi Yang, Xinchao Wang
2024 J jnl
Neural Metamorphosis.
CoRR
Xingyi Yang, Xinchao Wang
2024 J jnl
OminiControl: Minimal and Universal Control for Diffusion Transformer.
CoRR
Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, Xinchao Wang
2024 A* conf
One-shot Federated Learning via Synthetic Distiller-Distillate Communication.
NeurIPS
Junyuan Zhang, Songhua Liu, Xinchao Wang
2024 J jnl
One-shot Federated Learning via Synthetic Distiller-Distillate Communication.
CoRR
Junyuan Zhang, Songhua Liu, Xinchao Wang
2024 A* conf
P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation.
ACM Multimedia
Zeyu Xiao, Zhihe Lu, Xinchao Wang
2024 — conf
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.
ECCV (45)
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024 J jnl
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.
CoRR
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
2024 J jnl
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting.
CoRR
Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan
2024 A* conf
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation.
ICML
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2024 A* conf
Receptive Fields As Experts in Convolutional Neural Architectures.
ICML
Dongze Lian, Weihao Yu, Xinchao Wang
2024 A* conf
Relation Rectification in Diffusion Model.
CVPR
Yinwei Wu, Xingyi Yang, Xinchao Wang
2024 J jnl
Relation Rectification in Diffusion Model.
CoRR
Yinwei Wu, Xingyi Yang, Xinchao Wang
2024 A* conf
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.
NeurIPS
Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 J jnl
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 A* conf
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
NeurIPS
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 J jnl
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
CoRR
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
2024 A* conf
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.
ICLR
Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
2024 A* conf
SlimSAM: 0.1% Data Makes Segment Anything Slim.
NeurIPS
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
2024 A* conf
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
ICML
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
2024 J jnl
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
CoRR
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
2024 — conf
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
ECCV (46)
Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang
2024 J jnl
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
CoRR
Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang
2024 J jnl
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2024 J jnl
TinyFusion: Diffusion Transformers Learned Shallow.
CoRR
Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang
2024 A* conf
Ungeneralizable Examples.
CVPR
Jingwen Ye, Xinchao Wang
2024 J jnl
Ungeneralizable Examples.
CoRR
Jingwen Ye, Xinchao Wang
2024 A* conf
Unraveling Motion Uncertainty for Local Motion Deblurring.
ACM Multimedia
Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, Xinchao Wang
2024 A* conf
Unsegment Anything by Simulating Deformation.
CVPR
Jiahao Lu, Xingyi Yang, Xinchao Wang
2024 J jnl
Unsegment Anything by Simulating Deformation.
CoRR
Jiahao Lu, Xingyi Yang, Xinchao Wang
2024 J jnl
Video-Infinity: Distributed Long Video Generation.
CoRR
Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang
2024 — conf
Vista3D: Unravel the 3D Darkside of a Single Image.
ECCV (22)
Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang
2024 J jnl
Vista3D: Unravel the 3D Darkside of a Single Image.
CoRR
Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang
2023 J jnl
0.1% Data Makes Segment Anything Slim.
CoRR
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
2023 J jnl
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.
CoRR
Songhua Liu, Jingwen Ye, Xinchao Wang
2023 J jnl
Anything-3D: Towards Single-view Anything Reconstruction in the Wild.
CoRR
Qiuhong Shen, Xingyi Yang, Xinchao Wang
2023 A* conf
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.
ICCV
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang
2023 J jnl
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.
CoRR
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang
2023 J jnl
BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction.
Comput. Biol. Medicine
Yan Kang, Xinchao Wang, Cheng Xie, Huadong Zhang, Wentao Xie
2023 J jnl
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.
CoRR
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
2023 J jnl
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons.
Pattern Recognit.
Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan
2023 J jnl
C-Procgen: Empowering Procgen with Controllable Contexts.
CoRR
Zhenxiong Tan, Kaixin Wang, Xinchao Wang
2023 J jnl
Can SAM Boost Video Super-Resolution?
CoRR
Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang
2023 J jnl
Dataset Distillation: A Comprehensive Review.
CoRR
Ruonan Yu, Songhua Liu, Xinchao Wang
2023 A* conf
Deep Graph Reprogramming.
CVPR
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao
2023 J jnl
Deep Graph Reprogramming.
CoRR
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao
2023 J jnl
DeepCache: Accelerating Diffusion Models for Free.
CoRR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 A* conf
DepGraph: Towards Any Structural Pruning.
CVPR
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
2023 J jnl
DepGraph: Towards Any Structural Pruning.
CoRR
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
2023 A* conf
Diffusion Model as Representation Learner.
ICCV
Xingyi Yang, Xinchao Wang
2023 J jnl
Diffusion Model as Representation Learner.
CoRR
Xingyi Yang, Xinchao Wang
2023 J jnl
Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey.
CoRR
Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen
2023 A* conf
Diffusion Probabilistic Model Made Slim.
CVPR
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
2023 A* conf
Distribution Shift Inversion for Out-of-Distribution Prediction.
CVPR
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
2023 J jnl
Distribution Shift Inversion for Out-of-Distribution Prediction.
CoRR
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
2023 J jnl
DreamDrone.
CoRR
Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang
2023 J jnl
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation.
CoRR
Zhihe Lu, Shuicheng Yan, Xinchao Wang
2023 A* conf
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning.
CVPR
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
2023 J jnl
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning.
CoRR
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
2023 A* conf
Few-Shot Dataset Distillation via Translative Pre-Training.
ICCV
Songhua Liu, Xinchao Wang
2023 A* conf
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation.
NeurIPS
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
2023 A* conf
Generator Born from Classifier.
NeurIPS
Runpeng Yu, Xinchao Wang
2023 J jnl
Generator Born from Classifier.
CoRR
Runpeng Yu, Xinchao Wang
2023 A* conf
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.
NeurIPS
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
2023 J jnl
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.
CoRR
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
2023 J jnl
HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.
Briefings Bioinform.
Yan Kang, Yulong Xu, Xinchao Wang, Bin Pu, Xuekun Yang, Yulong Rao, Jianguo Chen
2023 J jnl
InceptionNeXt: When Inception Meets ConvNeXt.
CoRR
Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
2023 A* conf
LLM-Pruner: On the Structural Pruning of Large Language Models.
NeurIPS
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 J jnl
LLM-Pruner: On the Structural Pruning of Large Language Models.
CoRR
Xinyin Ma, Gongfan Fang, Xinchao Wang
2023 J jnl
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianfeng Zhang, Kehong Gong, Xinchao Wang, Jiashi Feng
2023 — conf
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report.
CVPR Workshops
Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu
2023 A* conf
MGDD: A Meta Generator for Fast Dataset Distillation.
NeurIPS
Songhua Liu, Xinchao Wang
2023 J jnl
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.
CoRR
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang
2023 J jnl
MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering.
Expert Syst. Appl.
Yan Kang, Wentao Xie, Xiaopeng Wang, Haining Wang, Xinchao Wang, Jinyuan Li
2023 A* conf
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer.
CVPR
Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang
2023 J jnl
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer.
CoRR
Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang
2023 A* conf
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation.
NeurIPS
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
2023 J jnl
Mutual-modality Adversarial Attack with Semantic Perturbation.
CoRR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2023 A* conf
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
ICCV
Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang
2023 J jnl
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
CoRR
Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang
2023 A* conf
Partial Network Cloning.
CVPR
Jingwen Ye, Songhua Liu, Xinchao Wang
2023 J jnl
Partial Network Cloning.
CoRR
Jingwen Ye, Songhua Liu, Xinchao Wang
2023 A* conf
Priority-Centric Human Motion Generation in Discrete Latent Space.
ICCV
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang
2023 J jnl
Priority-Centric Human Motion Generation in Discrete Latent Space.
CoRR
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang
2023 J jnl
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation.
CoRR
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2023 A* conf
Reachability-Aware Laplacian Representation in Reinforcement Learning.
ICML
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2023 A* conf
SG-Former: Self-guided Transformer with Evolving Token Reallocation.
ICCV
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
2023 J jnl
SG-Former: Self-guided Transformer with Evolving Token Reallocation.
CoRR
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
2023 J jnl
Salient object detection based on edge-interior feature fusion.
IET Image Process.
Yadi Shi, Guihe Qin, Yanhua Liang, Xinchao Wang, Jie Yan, Zhonghan Zhang
2023 J jnl
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities.
CoRR
Yongcheng Jing, Xinchao Wang, Dacheng Tao
2023 A* conf
Slimmable Dataset Condensation.
CVPR
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
2023 A* conf
Structural Pruning for Diffusion Models.
NeurIPS
Gongfan Fang, Xinyin Ma, Xinchao Wang
2023 J jnl
Structural Pruning for Diffusion Models.
CoRR
Gongfan Fang, Xinyin Ma, Xinchao Wang
2023 A* conf
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.
ICCV
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang
2023 J jnl
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.
CoRR
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang
2023 A* conf
Task Residual for Tuning Vision-Language Models.
CVPR
Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2023 J jnl
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.
CoRR
Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
2023 J jnl
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.
IEEE Trans. Knowl. Data Eng.
Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
2022 J jnl
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.
CoRR
Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song
2022 — conf
Attention Diversification for Domain Generalization.
ECCV (34)
Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
2022 J jnl
Attention Diversification for Domain Generalization.
CoRR
Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
2022 — conf
AvatarGen: A 3D Generative Model for Animatable Human Avatars.
ECCV Workshops (3)
Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng
2022 J jnl
AvatarGen: A 3D Generative Model for Animatable Human Avatars.
CoRR
Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng
2022 J jnl
AvatarGen: a 3D Generative Model for Animatable Human Avatars.
CoRR
Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng
2022 J jnl
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons.
CoRR
Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan
2022 A* conf
CAFE: Learning to Condense Dataset by Aligning Features.
CVPR
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
2022 J jnl
CAFE: Learning to Condense Dataset by Aligning Features.
CoRR
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
2022 J jnl
CoEvo-Net: Coevolution Network for Video Highlight Detection.
IEEE Trans. Circuits Syst. Video Technol.
Jiawei Chen, Jian Wang, Xinchao Wang, Xingen Wang, Zunlei Feng, Ruitao Liu, Mingli Song
2022 A* conf
Dataset Distillation via Factorization.
NeurIPS
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 J jnl
Dataset Distillation via Factorization.
CoRR
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 A* conf
Deep Model Reassembly.
NeurIPS
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022 J jnl
Deep Model Reassembly.
CoRR
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022 J jnl
Diffusion Probabilistic Model Made Slim.
CoRR
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022 — conf
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
ECCV (16)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
2022 J jnl
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
CoRR
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
2022 J jnl
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders.
CoRR
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You
2022 — conf
Factorizing Knowledge in Neural Networks.
ECCV (34)
Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 J jnl
Factorizing Knowledge in Neural Networks.
CoRR
Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 J jnl
Federated Selective Aggregation for Knowledge Amalgamation.
CoRR
Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song
2022 C conf
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples.
VCIP
Jingwen Ye, Zunlei Feng, Xinchao Wang
2022 A* conf
Geometric Structure Preserving Warp for Natural Image Stitching.
CVPR
Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang
2022 J jnl
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
CoRR
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
2022 — conf
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
ECCV (25)
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
2022 A* conf
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
ICLR
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
2022 J jnl
Image Hallucination From Attribute Pairs.
IEEE Trans. Cybern.
Fuxiang Wu, Jun Cheng, Xinchao Wang, Lei Wang, Dapeng Tao
2022 A* conf
Inception Transformer.
NeurIPS
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
2022 J jnl
Inception Transformer.
CoRR
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
2022 — conf
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction.
LoG
Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022 A* conf
Learning Domain Adaptive Object Detection with Probabilistic Teacher.
ICML
Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu
2022 J jnl
Learning Domain Adaptive Object Detection with Probabilistic Teacher.
CoRR
Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu
2022 — conf
Learning Graph Neural Networks for Image Style Transfer.
ECCV (7)
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
2022 J jnl
Learning Graph Neural Networks for Image Style Transfer.
CoRR
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
2022 — conf
Learning with Recoverable Forgetting.
ECCV (11)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022 J jnl
Learning with Recoverable Forgetting.
CoRR
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022 — conf
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database.
ACL (1)
Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li
2022 J jnl
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database.
CoRR
Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li
2022 Misc conf
Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition.
ICASSP
Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li
2022 A* conf
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification.
ACM Multimedia
Xin Jin, Tianyu He, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
2022 J jnl
MetaFormer Baselines for Vision.
CoRR
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
2022 A* conf
MetaFormer is Actually What You Need for Vision.
CVPR
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
2022 A* conf
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.
CVPR
Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022 J jnl
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.
CoRR
Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022 A* conf
Point2Seq: Detecting 3D Objects as Sequences.
CVPR
Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang
2022 J jnl
Point2Seq: Detecting 3D Objects as Sequences.
CoRR
Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang
2022 A* conf
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.
CVPR
Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang
2022 J jnl
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.
CoRR
Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang
2022 A* conf
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.
IJCAI
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
2022 J jnl
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.
CoRR
Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
2022 J jnl
Reachability-Aware Laplacian Representation in Reinforcement Learning.
CoRR
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2022 — conf
Relationship Spatialization for Depth Estimation.
ECCV (37)
Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang
2022 J jnl
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels.
CoRR
Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You
2022 A* conf
Safe Distillation Box.
AAAI
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2022 A* conf
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.
NeurIPS
Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022 J jnl
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.
CoRR
Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
2022 J jnl
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song
2022 J jnl
Short-term wind power probabilistic forecasting using a new neural computing approach: GMC-DeepNN-PF.
Appl. Soft Comput.
Qianchao Wang, Lei Pan, Haitao Wang, Xinchao Wang, Ying Zhu
2022 A* conf
Shunted Self-Attention via Multi-Scale Token Aggregation.
CVPR
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
2022 A* conf
Slimmable Domain Adaptation.
CVPR
Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
2022 J jnl
Slimmable Domain Adaptation.
CoRR
Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
2022 J jnl
Task Residual for Tuning Vision-Language Models.
CoRR
Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
2022 A* conf
Training Spiking Neural Networks with Local Tandem Learning.
NeurIPS
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
2022 J jnl
Training Spiking Neural Networks with Local Tandem Learning.
CoRR
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
2022 J jnl
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction.
CoRR
Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
2022 — conf
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.
ECCV Workshops (8)
Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
2022 A* conf
Up to 100x Faster Data-Free Knowledge Distillation.
AAAI
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2022 J jnl
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song
2021 A* conf
Amalgamating Knowledge From Heterogeneous Graph Neural Networks.
CVPR
Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao
2021 — conf
Automating Fairness Configurations for Machine Learning.
WWW (Companion Volume)
Haipei Sun, Yiding Yang, Yanying Li, Huihui Liu, Xinchao Wang, Wendy Hui Wang
2021 A* conf
Boundary Knowledge Translation based Reference Semantic Segmentation.
IJCAI
Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song
2021 J jnl
Boundary Knowledge Translation based Reference Semantic Segmentation.
CoRR
Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song
2021 J jnl
Contrastive Model Inversion for Data-Free Knowledge Distillation.
CoRR
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021 A* conf
Contrastive Model Invertion for Data-Free Knolwedge Distillation.
IJCAI
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021 A* conf
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels.
AAAI
Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
2021 J jnl
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels.
CoRR
Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
2021 A* conf
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.
IJCAI
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
2021 J jnl
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.
CoRR
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
2021 A* conf
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking.
CVPR
Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua
2021 J jnl
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking.
CoRR
Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua
2021 J jnl
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition.
CoRR
Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li
2021 J jnl
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao
2021 J jnl
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification.
CoRR
Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen
2021 A* conf
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.
ICCV
Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao
2021 J jnl
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.
CoRR
Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao
2021 J jnl
MetaFormer is Actually What You Need for Vision.
CoRR
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
2021 A* conf
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.
NeurIPS
Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021 J jnl
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.
CoRR
Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021 A* conf
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image.
ICCV
Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song
2021 A* conf
Online Multiple Object Tracking With Cross-Task Synergy.
CVPR
Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao
2021 J jnl
Online Multiple Object Tracking with Cross-Task Synergy.
CoRR
Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao
2021 A* conf
Overcoming Catastrophic Forgetting in Graph Neural Networks.
AAAI
Huihui Liu, Yiding Yang, Xinchao Wang
2021 J jnl
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only.
CoRR
Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao
2021 A* conf
Progressive Network Grafting for Few-Shot Knowledge Distillation.
AAAI
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2021 J jnl
SPAGAN: Shortest Path Graph Attention Network.
CoRR
Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao
2021 J jnl
Safe Distillation Box.
CoRR
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2021 A* conf
Scene Essence.
CVPR
Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao
2021 A* conf
Self-born Wiring for Neural Trees.
ICCV
Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song
2021 J jnl
Shunted Self-Attention via Multi-Scale Token Aggregation.
CoRR
Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
2021 A* conf
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data.
AAAI
Shaoli Huang, Xinchao Wang, Dacheng Tao
2021 A* conf
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition.
ICCV
Shaoli Huang, Xinchao Wang, Dacheng Tao
2021 J jnl
Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR
Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao
2021 J jnl
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets.
IEEE Trans. Image Process.
Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan
2021 A* conf
Training Generative Adversarial Networks in One Stage.
CVPR
Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2021 J jnl
Training Generative Adversarial Networks in One Stage.
CoRR
Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2021 A* conf
Tree-Like Decision Distillation.
CVPR
Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song
2021 A* conf
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras.
CVPR
Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao
2021 J jnl
Up to 100x Faster Data-free Knowledge Distillation.
CoRR
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2021 A* conf
Visual Boundary Knowledge Translation for Foreground Segmentation.
AAAI
Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song
2021 J jnl
Visual Boundary Knowledge Translation for Foreground Segmentation.
CoRR
Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song
2020 — conf
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning.
ECCV (6)
Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song
2020 A* conf
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
CVPR
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020 J jnl
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
CoRR
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020 A* conf
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020 J jnl
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020 J jnl
Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing.
IEEE Access
Hao Xiong, Chaoyue Wang, Xinchao Wang, Dacheng Tao
2020 J jnl
Disassembling Object Representations without Labels.
CoRR
Zunlei Feng, Xinchao Wang, Yongming He, Yike Yuan, Xin Gao, Mingli Song
2020 A* conf
Distilling Knowledge From Graph Convolutional Networks.
CVPR
Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
2020 J jnl
Distilling Knowledge from Graph Convolutional Networks.
CoRR
Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
2020 A* conf
Diversified Bayesian Nonnegative Matrix Factorization.
AAAI
Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
2020 C conf
Dynamic Graph CNN for Event-Camera Based Gesture Recognition.
ISCAS
Junming Chen, Jingjing Meng, Xinchao Wang, Junsong Yuan
2020 A* conf
Dynamic Instance Normalization for Arbitrary Style Transfer.
AAAI
Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen
2020 J jnl
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.
IEEE Trans. Image Process.
Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song
2020 A* conf
Factorizable Graph Convolutional Networks.
NeurIPS
Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang
2020 J jnl
Factorizable Graph Convolutional Networks.
CoRR
Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang
2020 — conf
Faster Self-adaptive Deep Stereo.
ACCV (1)
Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song
2020 — conf
Hallucinating Visual Instances in Total Absentia.
ECCV (5)
Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao
2020 A* conf
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers.
AAAI
Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song
2020 J jnl
Impression Space from Deep Template Network.
CoRR
Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
2020 A* conf
Learning Oracle Attention for High-Fidelity Face Completion.
CVPR
Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao
2020 J jnl
Learning Oracle Attention for High-fidelity Face Completion.
CoRR
Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao
2020 — conf
Learning Propagation Rules for Attribution Map Generation.
ECCV (20)
Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
2020 J jnl
Learning Propagation Rules for Attribution Map Generation.
CoRR
Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
2020 J jnl
One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation.
IEEE Trans. Image Process.
Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao
2020 A* conf
One-sample Guided Object Representation Disassembling.
NeurIPS
Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song
2020 J jnl
Overcoming Catastrophic Forgetting in Graph Neural Networks.
CoRR
Huihui Liu, Yiding Yang, Xinchao Wang
2020 J jnl
Principal Component Adversarial Example.
IEEE Trans. Image Process.
Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao
2020 J jnl
Progressive Network Grafting for Few-Shot Knowledge Distillation.
CoRR
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2020 J jnl
Semi-online Multi-people Tracking by Re-identification.
Int. J. Comput. Vis.
Long Lan, Xinchao Wang, Gang Hua, Thomas S. Huang, Dacheng Tao
2020 J jnl
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data.
CoRR
Shaoli Huang, Xinchao Wang, Dacheng Tao
2020 J jnl
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets.
CoRR
Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan
2019 J jnl
A Light Dual-Task Neural Network for Haze Removal.
CoRR
Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao
2019 — conf
A Novel Framework for 3D-2D Vertebra Matching.
MIPR
Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang
2019 J jnl
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction.
IEEE Trans. Image Process.
Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming Xiang, Chunhong Pan, Pascal Fua
2019 A* conf
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
IJCAI
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 J jnl
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
CoRR
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 A* conf
Amalgamating Knowledge towards Comprehensive Classification.
AAAI
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019 A* conf
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.
ICCV
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019 J jnl
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.
CoRR
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019 J jnl
Data-Free Adversarial Distillation.
CoRR
Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
2019 A* conf
Deep Model Transferability from Attribution Maps.
NeurIPS
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2019 J jnl
Deep Model Transferability from Attribution Maps.
CoRR
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2019 J jnl
Dynamic Instance Normalization for Arbitrary Style Transfer.
CoRR
Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen
2019 J jnl
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Networks Learn. Syst.
Xinmei Tian, Ya Li, Tongliang Liu, Xinchao Wang, Dacheng Tao
2019 J jnl
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers.
CoRR
Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song
2019 A* conf
Horizontal Pyramid Matching for Person Re-Identification.
AAAI
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang
2019 A conf
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields.
WACV
Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang
2019 A conf
Improving Object Detection from Scratch via Gated Feature Reuse.
BMVC
Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides
2019 A* conf
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.
IJCAI
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
2019 J jnl
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.
CoRR
Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song
2019 A* conf
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts.
ICCV
Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao
2019 J jnl
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts.
CoRR
Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao
2019 J jnl
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation.
CoRR
Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao
2019 A* conf
SPAGAN: Shortest Path Graph Attention Network.
IJCAI
Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao
2019 — conf
Self-Reproducing Video Frame Interpolation.
MIPR
Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
2019 A* conf
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2019 J jnl
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2019 A* conf
World From Blur.
CVPR
Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao
2018 J jnl
A Light Dual-Task Neural Network for Haze Removal.
IEEE Signal Process. Lett.
Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao
2018 J jnl
Amalgamating Knowledge towards Comprehensive Classification.
CoRR
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2018 J jnl
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks.
CoRR
Fusheng Hao, Jun Cheng, Lei Wang, Xinchao Wang, Jianzhong Cao, Xiping Hu, Dapeng Tao
2018 B conf
Botzone: an online multi-agent competitive platform for AI education.
ITiCSE
Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li
2018 J jnl
Deep Motion Boundary Detection.
CoRR
Xiaoqing Yin, Xiyang Dai, Xinchao Wang, Maojun Zhang, Dacheng Tao, Larry S. Davis
2018 A* conf
Dual Swap Disentangling.
NeurIPS
Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song
2018 J jnl
Dual Swap Disentangling.
CoRR
Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song
2018 J jnl
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification.
CoRR
Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao
2018 — conf
FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification.
ECCV (10)
Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao
2018 A* conf
Geometry-Aware Scene Text Detection With Instance Transformation Network.
CVPR
Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao
2018 — conf
Geometry-Aware Traffic Flow Analysis by Detection and Tracking.
CVPR Workshops
Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang
2018 J jnl
Horizontal Pyramid Matching for Person Re-identification.
CoRR
Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang
2018 J jnl
Interacting Tracklets for Multi-Object Tracking.
IEEE Trans. Image Process.
Long Lan, Xinchao Wang, Shiliang Zhang, Dacheng Tao, Wen Gao, Thomas S. Huang
2018 J jnl
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.
IEEE Trans. Image Process.
Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang
2018 — conf
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation.
MICCAI (3)
Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang, Dacheng Tao
2018 J jnl
Wide Activation for Efficient and Accurate Image Super-Resolution.
CoRR
Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang
2017 J jnl
A Performance Evaluation of Local Features for Image Based 3D Reconstruction.
CoRR
Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming Xiang, Chunhong Pan, Pascal Fua
2017 — conf
Balanced Two-Stage Residual Networks for Image Super-Resolution.
CVPR Workshops
Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
2017 B conf
Computed tomography super-resolution using convolutional neural networks.
ICIP
Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang
2017 — conf
Effective object detection from traffic camera videos.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas S. Huang
2017 J jnl
Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image.
IEEE Geosci. Remote. Sens. Lett.
Guoli Wang, Xinchao Wang, Bin Fan, Chunhong Pan
2017 J jnl
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.
IEEE Trans. Image Process.
Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang
2017 J jnl
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.
CoRR
Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang
2017 — conf
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.
CVPR Workshops
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
2017 J jnl
Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences.
IEEE Trans. Medical Imaging
Engin Türetken, Xinchao Wang, Carlos J. Becker, Carsten Haubold, Pascal Fua
2017 A* conf
Non-Markovian Globally Consistent Multi-object Tracking.
ICCV
Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua
2017 A* conf
On Compressing Deep Models by Low Rank and Sparse Decomposition.
CVPR
Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao
2017 A conf
Transformed Anti-Sparse Hashing.
BMVC
Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
2016 — conf
Do We Need Binary Features for 3D Reconstruction?
CVPR Workshops
Bin Fan, Qingqun Kong, Wei Sui, Zhiheng Wang, Xinchao Wang, Shiming Xiang, Chunhong Pan, Pascal Fua
2016 J jnl
Do We Need Binary Features for 3D Reconstruction?
CoRR
Bin Fan, Qingqun Kong, Wei Sui, Zhiheng Wang, Xinchao Wang, Shiming Xiang, Chunhong Pan, Pascal Fua
2016 J jnl
Globally Consistent Multi-People Tracking using Motion Patterns.
CoRR
Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua
2016 J jnl
Parsing human skeletons in an operating room.
Mach. Vis. Appl.
Vasileios Belagiannis, Xinchao Wang, Horesh Ben Shitrit, Kiyoshi Hashimoto, Ralf Stauder, Yoshimitsu Aoki, Michael Kranzfelder, Armin Schneider, Pascal Fua, Slobodan Ilic, Hubertus Feussner, Nassir Navab
2016 J jnl
Tracking Interacting Objects Using Intertwined Flows.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua
2016 A* conf
What Players do with the Ball: A Physically Constrained Interaction Modeling.
CVPR
Andrii Maksai, Xinchao Wang, Pascal Fua
2015 J jnl
Detecting and Tracking Cells using Network Flow Programming.
CoRR
Engin Türetken, Xinchao Wang, Carlos J. Becker, Pascal Fua
2015 — —
Tracking Interacting Objects in Image Sequences.
Xinchao Wang
2015 J jnl
What Players do with the Ball: A Physically Constrained Interaction Modeling.
CoRR
Andrii Maksai, Xinchao Wang, Pascal Fua
2014 — conf
Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures.
ECCV Workshops (1)
Vasileios Belagiannis, Xinchao Wang, Bernt Schiele, Pascal Fua, Slobodan Ilic, Nassir Navab
2014 J jnl
Take your eyes off the ball: Improving ball-tracking by focusing on team play.
Comput. Vis. Image Underst.
Xinchao Wang, Vitaly Ablavsky, Horesh Ben Shitrit, Pascal Fua
2014 — conf
Tracking Interacting Objects Optimally Using Integer Programming.
ECCV (1)
Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua
2013 J jnl
Grassmannian Regularized Structured Multi-View Embedding for Image Classification.
IEEE Trans. Image Process.
Xinchao Wang, Wei Bian, Dacheng Tao
2011 J jnl
Corrections to "Subspaces Indexing Model on Grassmann Manifold for Image Search".
IEEE Trans. Image Process.
Xinchao Wang, Zhu Li, Dacheng Tao
2011 A conf
Grassmann Hashing for approximate nearest neighbor search in high dimensional space.
ICME
Xinchao Wang, Zhu Li, Lei Zhang, Junsong Yuan
2011 J jnl
Subspaces Indexing Model on Grassmann Manifold for Image Search.
IEEE Trans. Image Process.
Xinchao Wang, Zhu Li, Dacheng Tao
2010 J jnl
Entropy controlled Laplacian regularization for least square regression.
Signal Process.
Xinchao Wang, Dacheng Tao, Zhu Li