Qiming Zhang

51 papers A* 11A 1B 1Journal 34Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation.
CoRR
Jiawei Zhou, Chi Zhang, Xiang Feng, Qiming Zhang, Haibo Qiu, Lihuo He, Dengpan Ye, Xinbo Gao, Jing Zhang
2025 J jnl
Computational Fluid Dynamic Network for Infrared Small Target Detection.
IEEE Trans. Neural Networks Learn. Syst.
Mingjin Zhang, Ke Yue, Jie Guo, Qiming Zhang, Jing Zhang, Xinbo Gao
2025 J jnl
DeepSketcher: Internalizing Visual Manipulation for Multimodal Reasoning.
CoRR
Chi Zhang, Haibo Qiu, Qiming Zhang, Zhixiong Zeng, Lin Ma, Jing Zhang
2025 J jnl
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities.
ACM Comput. Surv.
Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
2025 J jnl
InstructVEdit: A Holistic Approach for Instructional Video Editing.
CoRR
Chi Zhang, Chengjian Feng, Feng Yan, Qiming Zhang, Mingjin Zhang, Yujie Zhong, Jing Zhang, Lin Ma
2025 A* conf
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection.
AAAI
Mingjin Zhang, Yuanjun Ouyang, Fei Gao, Jie Guo, Qiming Zhang, Jing Zhang
2025 A* conf
Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging.
IJCAI
Mingjin Zhang, Longyi Li, Fei Gao, Qiming Zhang, Jie Guo
2025 J jnl
Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning.
CoRR
Chi Zhang, Haibo Qiu, Qiming Zhang, Yufei Xu, Zhixiong Zeng, Siqi Yang, Peng Shi, Lin Ma, Jing Zhang
2025 A* conf
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation.
AAAI
Mingjin Zhang, Wenteng Shang, Fei Gao, Qiming Zhang, Fengqin Lu, Jing Zhang
2024 A* conf
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.
IJCAI
Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du
2024 J jnl
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.
CoRR
Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du
2024 A* conf
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection.
AAAI
Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao
2024 A* conf
Unleashing the Power of Generic Segmentation Model: A Simple Baseline for Infrared Small Target Detection.
ACM Multimedia
Mingjin Zhang, Chi Zhang, Qiming Zhang, Yunsong Li, Xinbo Gao, Jing Zhang
2024 J jnl
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection.
CoRR
Mingjin Zhang, Chi Zhang, Qiming Zhang, Yunsong Li, Xin Gao, Jing Zhang
2024 J jnl
ViTPose++: Vision Transformer for Generic Body Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
2024 J jnl
Vision Transformer With Quadrangle Attention.
IEEE Trans. Pattern Anal. Mach. Intell.
Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao
2023 — conf
1
WACV (Workshops)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2023 J jnl
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model.
IEEE Trans. Geosci. Remote. Sens.
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang
2023 J jnl
BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection.
CoRR
Haimei Zhao, Qiming Zhang, Shanshan Zhao, Jing Zhang, Dacheng Tao
2023 J jnl
Boost Spectrum Prediction With Temporal-Frequency Fusion Network via Transfer Learning.
IEEE Trans. Mob. Comput.
Kehan Li, Chao Li, Jiming Chen, Qiming Zhang, Zebo Liu, Shibo He
2023 A* conf
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution.
ICCV
Mingjin Zhang, Chi Zhang, Qiming Zhang, Jie Guo, Xinbo Gao, Jing Zhang
2023 J jnl
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution.
CoRR
Mingjin Zhang, Chi Zhang, Qiming Zhang, Jie Guo, Xinbo Gao, Jing Zhang
2023 J jnl
Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.
CoRR
Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
2023 J jnl
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond.
Int. J. Comput. Vis.
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
2023 J jnl
Vision Transformer with Quadrangle Attention.
CoRR
Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao
2022 J jnl
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
2022 J jnl
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model.
CoRR
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang
2022 — conf
Attentive Cascaded Pyramid Network for Online Video Stabilization.
CICAI (1)
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
2022 J jnl
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction.
IEEE Trans. Cogn. Commun. Netw.
Kehan Li, Chao Li, Baosheng Yu, Zhangchong Shen, Qiming Zhang, Shibo He, Jiming Chen
2022 — conf
RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning.
ECCV (33)
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
2022 J jnl
Rethinking Hierarchies in Pre-trained Plain Vision Transformer.
CoRR
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
2022 J jnl
Toward Real-world Single Image Deraining: A New Benchmark and Beyond.
CoRR
Wei Li, Qiming Zhang, Jing Zhang, Zhen Huang, Xinmei Tian, Dacheng Tao
2022 — conf
VSA: Learning Varied-Size Window Attention in Vision Transformers.
ECCV (25)
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
2022 J jnl
VSA: Learning Varied-Size Window Attention in Vision Transformers.
CoRR
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
2022 J jnl
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond.
CoRR
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao
2022 J jnl
ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation.
CoRR
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
2022 A* conf
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.
NeurIPS
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
2022 J jnl
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.
CoRR
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao
2021 J jnl
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
CoRR
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
2021 A* conf
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias.
NeurIPS
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
2021 J jnl
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias.
CoRR
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao
2020 A* conf
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing.
AAAI
Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao
2020 J jnl
Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization.
IEEE J. Sel. Top. Signal Process.
Huan Wang, Xinyi Hu, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu
2019 A* conf
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation.
NeurIPS
Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao
2019 J jnl
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation.
CoRR
Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao
2019 J jnl
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing.
CoRR
Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao
2019 B conf
Structured Pruning for Efficient ConvNets via Incremental Regularization.
IJCNN
Huan Wang, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu
2018 J jnl
Structured Deep Neural Network Pruning by Varying Regularization Parameters.
CoRR
Huan Wang, Qiming Zhang, Yuehai Wang, Roland Hu
2018 A conf
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.
BMVC
Huan Wang, Qiming Zhang, Yuehai Wang, Haoji Hu
2018 J jnl
Structured Pruning for Efficient ConvNets via Incremental Regularization.
CoRR
Huan Wang, Qiming Zhang, Yuehai Wang, Haoji Hu
2017 J jnl
Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.
CoRR
Huan Wang, Qiming Zhang, Yuehai Wang, Roland Hu