学术论文
2025
  • W. Zhang, M. Zhou, J. Cheng, Y. Liu and W. Zhang, "C2P-Net: Comprehensive Depth Map to Planar Depth Conversion for Room Layout Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.
  • Y. Jia, Y. Song, J. Cheng, J. Jin, W. Zhang, S. X. Yang and S. Kwong, "A Deep Reinforcement Learning Approach Using Asymmetric Self-Play for Robust Multirobot Flocking," IEEE Transactions on Industrial Informatics (T-II), 2025.
  • R. Cong, N. Yang, H. Liu, D. Zhang, Q. Huang, S. Kwong and W. Zhang, "TRNet: Two-Tier Recursion Network for Co-Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2025.
  • J. Cui, T. Liu, Z. Meng, J. Yu, R. Song, W. Zhang, S. Huang and Y. Zhu, "GROVE: Generalized Reward for Open-Vocabulary Physical Skill Variability Enhancement," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (ORAL)
  • T. Fang, M. Zhang, R. Song, X. Li, Z. Wei and W. Zhang, "Human-Guided Data Augmentation via Diffusion Model for Surface Defect Recognition Under Limited Data," IEEE Transactions on Instrumentation and Measurement, 2025.
  • H. Fang, R. Cong, X. Lu, X. Zhou, S. Kwong and W. Zhang, "Decoupled Motion Expression Video Segmentation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
2024
  • L. Zhang, R. Song, W. Tan, L. Ma and W. Zhang, "IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning With Extremely Limited Labels," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  • Z. Li, Y. Zhong, R. Song, T. Li, L. Ma and W. Zhang, "DeTAL: Open-Vocabulary Temporal Action Localization With Decoupled Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
  • L. Zhang, Y. Wang, R. Song, M. Zhang, X. Li and W. Zhang, "Neighborhood-Aware Mutual Information Maximization for Source-Free Domain Adaptation," IEEE Transactions on Multimedia (T-MM), 2024.
  • Q. Zhang, L. Zhang, R. Song, R. Cong, Y. Liu and W. Zhang, "Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering," IEEE Transactions on Image Processing (T-IP), 2024.
  • T. Li, Y. Luo, W. Zhang, L. Duan and J. Liu, "HARDer-Net: Hardness-Guided Discrimination Network for 3D Early Activity Prediction," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024.
  • T. Li, Y. Luan, Z. Pang and W. Zhang, "Structural Digital Twin Modeling and Adaptive Pretrain-Finetune Learning for Dynamic Impact Identification on Wind Turbine Blades," IEEE Transactions on Industrial Informatics (T-II), 2024.
  • H. Zhang, J. Chen, J. Cheng, Y. Li, S. X. Yang and W. Zhang, "Nowhere to Go: Benchmarking Multirobot Collaboration in Target Trapping Environment," IEEE Transactions on Industrial Electronics (T-IE), 2024.
  • R. Cong, H. Xiong, J. Chen, W. Zhang, Q. Huang and Y. Zhao, "Query-Guided Prototype Evolution Network for Few-Shot Segmentation," IEEE Transactions on Multimedia (T-MM), 2024.
  • X. Jia, Y. Shen, J. Yang, R. Song, W. Zhang, M.Q.-H. Meng, J. C. Liao and L. Xing, "PolypMixNet: Enhancing Semi-Supervised Polyp Segmentation with Polyp-Aware Augmentation," Computers in Biology and Medicine, 2024.
  • D. Zhang, J. Du , J. Shi, Y. Zhang, S. Jia, X. Liu, Y. Wu, Y. An, S. Zhu, D. Pan, W. Zhang, Y. Zhang and S. Feng, "A Fully Automatic MRI-Guided Decision Support System for Lumbar Disc Herniation Using Machine Learning," JOR Spine, 2024.
  • R. Cao, Z. Yang, R. Song, Z. Meng, R. Wang and W. Zhang, "MPP: Multiscale Path Planning for UGV Navigation in Semi-structured Environments," 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  • D. Li, C. Zhao, S. Yang, R. Song, X. Li and W. Zhang, "MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes," 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  • W. Zhao, J. Chen, Z. Meng, D. Mao, R. Song and W. Zhang, "Vision-Language Model Predictive Control for Robotic Manipulation," Robotics: Science and Systems (RSS), 2024.
  • H. Liu, R. Cong, H. Li, Q. Xu, Q. Huang and W. Zhang, "ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection," International Conference on Machine Learning (ICML), 2024.
  • Y. Xie, Y. Zhao, Q. Zhang, L. Zhang, T. Li and W. Zhang, "Learning to Navigate Sequential Environments: A Continual Learning Benchmark for Multi-modal Navigation," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024.
  • X. Xu, Y. Xie, R. Li, Y. Zhao, R. Song and W. Zhang, "Hierarchical Reinforcement Learning for Autonomous Parking Based on Kinematic Constraints," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024. (Best Poster Nominees)
  • R. Li, T. Zhang, X. Xu, Y. Zhao, R. Song and W. Zhang, "P2CBAM: 3D Object Detection for Autonomous Driving," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024.
  • L. Qian, M. Zhang, Q. Zhang, L. Zhang, T. Li and W. Zhang, "Parameter-Level Mask-Based Adapter for 3D Continual Learning with Vision-Language Model," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024.
  • P. Wei, S. Cheng, D. Li, R. Song, Y. Zhang and W. Zhang, "Coarse-to-Fine Detection of Multiple Seams for Robotic Welding," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
  • D. Li, C. Zhao, S. Yang, L. Ma, Y. Li and W. Zhang, "Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks," IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2024.
2023
  • Y. Wang, L. Zhang, R. Song, H. Li, P. L. Rosin and W. Zhang, "Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation," International Journal of Computer Vision (IJCV), 2023.
  • Y. Jia, Y. Song, B. Xiong, J. Cheng, W. Zhang, S. X. Yang and S. Kwong, "Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios," IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
  • L. Zhu, J. Cheng, H. Zhang, W. Zhang and Y. Liu, "Multi-Robot Environmental Coverage With a Two-Stage Coordination Strategy via Deep Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
  • R. Cong, W. Yang, W. Zhang, C. Li, C.-L. Guo, Q. Huang and S. Kwong, "PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators," IEEE Transactions on Image Processing (T-IP), 2023.
  • W. Tan, X. Fang, W. Zhang, R. Song, T. Chen, Y. Zheng and Y. Li, "A Hierarchical Framework for Quadruped Omnidirectional Locomotion Based on Reinforcement Learning," IEEE Transactions on Automation Science and Engineering (T-ASE), 2023.
  • S. Xie, R. Song, Y. Zhao, X. Huang, Y. Li and W. Zhang, "Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation," IEEE Transactions on Robotics (T-RO), 2023.
  • R. Song, W. Zhang, Y. Zhao, Y. Liu and P.L. Rosin, "3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency?" IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.
  • S. Yang, W. Zhang, R. Song, J. Cheng, H. Wang and Y. Li, "Watch and Act: Learning Robotic Manipulation From Visual Demonstration," IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMC), 2023.
  • S. Yang, S. Song, S. Chu, R. Song, J. Cheng, Y. Li and W. Zhang, "Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing," IEEE Transactions on Automation Science and Engineering (T-ASE), 2023.
  • Z. Li, X. Gong, R. Song, P. Duan, J. Liu and W. Zhang, "SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition," IEEE Transactions on Image Processing (T-IP), 2023.
  • T. Fang, Z. Wei, L. Zhang, X. Li and W. Zhang, "Depth Dependence Removal in RGB-D Semantic Segmentation Model,"  IEEE International Conference on Mechatronics and Automation (ICMA), 2023.
  • Q. Zhang, M. Zhang, J. Liu, X. He, R. Song and W. Zhang, "Unsupervised Maritime Vessel Re-Identification With Multi-Level Contrastive Learning," IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
  • D. Li, P. Wei, C. Zhao, S. Yang, Y. Li and W. Zhang, "A Mobile Manipulation System for Automated Replenishment in the Field of Unmanned Retail," IEEE Conference on Mechatronics and Automation (ICMA), 2023. (Best paper finalist)
  • S. Yang, D. Li, C. Zhao, P. Wei, Y. Li and W. Zhang, "Multi-class 4-DoF Carton Box Detection for Heterogeneous Robotic Container Unloading," IEEE Conference on Real-time Computing and Robotics (RCAR), 2023.(Best paper finalist)
  • S. Song, S. Yang, R. Song, S. Chu, Y. Li and W. Zhang, "Towards Online 3D Bin Packing: Learning Synergies Between Packing and Unpacking via Drl," Conference on Robot Learning (CoRL), 2023.
  • S. Lian, H. Li, R. Cong, S. Li, W. Zhang and S. Kwong, "WaterMask: Instance Segmentation for Underwater Imagery," 2023 IEEE International Conference on Computer Vision (ICCV), 2023.
  • R. Cong, Y. Guan, J. Chen, W. Zhang, Y. Zhao and S. Kwong, "SDDNet: Style-Guided Dual-Layer Disentanglement Network for Shadow Detection," ACM Multimedia (ACM MM), 2023
  • R. Cong, M. Sun, S. Zhang, X. Zhou, W. Zhang and Y. Zhao, "Frequency Perception Network for Camouflaged Object Detection," ACM Multimedia (ACM MM), 2023
  • R. Cong, H. Liu, C. Zhang, W. Zhang, F. Zheng, R. Song and S. Kwong, "Point-Aware Interaction and CNN-Induced Refinement Network for RGB-D Salient Object Detection," ACM Multimedia (ACM MM), 2023.
  • S. Cao, W. Luo, B. Wang, W. Zhang and L. Ma, "E2E-LOAD: End-to-End Long-form Online Action Detection," 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
  • F. Zhong, X. Bi, Y. Zhang, W. Zhang and Y. Wang, "RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking," 37st AAAI Conference on Artificial Intelligence (AAAI), 2023.
2022
  • L. Zhang, M. Zhang, R. Song, Z. Zhao and X. Li, "Unsupervised Embedding Learning With Mutual-Information Graph Convolutional Networks," IEEE Transactions on Multimedia (T-MM), 2022.
  • H. Zhang, R.Song, L. Wang, D.Wang, C. Wang and W. Zhang, "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks," IEEE Transactions on Medical Imaging (T-MI), 2022.
  • J. Sheng, Y. Chen, F. Xing,W. Zhang, R. Song, Y. Zheng and Y. Li, "Bio-Inspired Rhythmic Locomotion for Quadruped Robots," IEEE Robotics and Automation Letters (RA-L), 2022.
  • S. Yang, W. Zhang, R. Song, W. Lu, H. Wang and Y. Li, "Explicit-to-Implicit Robot Imitation Learning by Exploring Visual Content Change," IEEE/ASME Transactions on Mechatronics (TMECH), 2022.
  • R. Song, W. Zhang, Y. Zhao and Y. Liu, "Unsupervised Multi-View CNN for Salient View Selection and 3D Interest Point Detection," International Journal of Computer Vision (IJCV), 2022.
  • H. Zhang, J. Cheng, L. Zhang and W. Zhang, "H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments", IEEE Robotics and Automation Letters (RA-L), 2022.
  • J. Chen, W. Luo, W. Zhang and L. Ma, "Explore Inter-Contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding," 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
  • S. Cao, B. Wang, W. Zhang and L. Ma, "Visual Consensus Modeling for Video-Text Retrieval," 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
2021
  • W. Zhang, Y. Zhang, R. Song, Y. Liu and W. Zhang, "3D Layout Estimation via Weakly Supervised Learning of Plane Parameters From 2D Segmentation," IEEE Transactions on Image Processing (T-IP), 2021.
  • T. Li, W. Zhang, R. Song, Z. Li, J. Liu, X. Li and S. Li, "PoT-GAN: Pose Transform GAN for Person Image Synthesis," IEEE Transactions on Image Processing (T-IP), 2021.
  • Z. Rao, Y. Wu, Z. Yang, W. Zhang, S. Lu, W. Lu and Z. Zha, "Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021.
  • R. Song, W. Zhang, Y. Zhao, Y. Liu and P. L. Rosin, "Mesh Saliency: An Independent Perceptual Measure or A Derivative of Image Saliency?" 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • T. Li, J. Liu, W. Zhang, Y. Ni, W. Wang and Z. Li, "UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • X. Huang, W. Chen, W. Zhang, R. Song, J. Cheng and Y. Li, "Autonomous Multi-View Navigation via Deep Reinforcement Learning," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021.
  • S. Yang, W. Zhang, R. Song, J. Cheng and Y. Li, "Learning Multi-Object Dense Descriptor for Autonomous Goal-Conditioned Grasping," IEEE Robotics and Automation Letters (ICRA), 2021.
  • X. Huang, H. Deng, W. Zhang, R. Song and Y. Li, "Towards Multi-Modal Perception-Based Navigation: A Deep Reinforcement Learning Method," IEEE Robotics and Automation Letters (ICRA), 2021.
  • Z. Yang, S. Yang, S. Song, W. Zhang, R. Song, J. Chen and Y. Li, "PackerBot: Variable-Sized Product Packing with Heuristic Deep Reinforcement Learning," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
  • W. Tan, X. Fang, W. Zhang, R. Song, T. Chen, Y. Zheng and Y. Li, "A Hierarchical Framework for Quadruped Locomotion Based on Reinforcement Learning," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
2020
  • W. Zhang, Q. Zhang, W. Zhang, J. Gu and Y. Li, "From Edge to Keypoint: An End-to-End Framework for Indoor Layout Estimation," IEEE Transactions on Multimedia (T-MM), 2020.
  • K. Song, W. Zhang, R. Song and Y. Li, "Online Decision Based Visual Tracking via Reinforcement Learning," Advances in Neural Information Processing Systems (NeurIPS), 2020.
  • K. Zhu, W. Chen, W. Zhang, R. Song and Y. Li, "Autonomous Robot Navigation Based on Multi-Camera Perception," 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  • Y. Fan, S. Chu, W. Zhang, R. Song and Y. Li, "Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator," 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  • T. Li, J. Liu, W. Zhang and L. Duan, "HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction," European Conference on Computer Vision (ECCV), 2020.
  • W. Zhang, W. Zhang and Y. Zhang, "GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes," European Conference on Computer Vision (ECCV), 2020.
  • R. Song, W. Zhang, Y. Zhao and Y. Liu, "Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes," European Conference on Computer Vision (ECCV), 2020.
  • S. Yang, W. Zhang, W. Lu, H. Wang and Y. Li, "Cross-Context Visual Imitation Learning from Demonstrations," 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020.
  • J. Zhang, W. Zhang, R. Song, L. Ma and Y. Li, "Grasp for Stacking via Deep Reinforcement Learning," 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020.
2019
  • W. Zhang, X. He, X. Yu, W. Lu, Z. Zha and Q. Tian, "A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos", IEEE Transactions on Image Processing (T-IP), 2019.
  • W. Zhang, B.R. Wang, L. Ma and W. Liu, "Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.
  • K. Song, W. Zhang, W.Z. Lu, Z.J. Zha, X.Y. Ji and Y.B. Li, "Visual Object Tracking via Guessing and Matching," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019.
  • W. Zhang, X.Y. He and W.Z. Lu, "Exploring Discriminative Representations for Image Emotion Recognition with CNNs," IEEE Transactions on Multimedia (T-MM), 2019.
  • G.J Zhang, S.J. Lu and W. Zhang, "CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2019.
  • W. Zhang, X.Y. He, W.Z. Lu, Q. Hong and Y.B. Li, "Feature Aggregation with Reinforcement Learning for Video-based Person Re-identification," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019.
  • W.D Zhang, W. Zhang and J. Gu, "Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment," IEEE Transactions on Cybernetics (T-CYB), 2019.
  • X.Y. Lan, W. Zhang, S.P. Zhang, D.K. Jain and H.Y. Zhou, "Robust Multi-Modality Anchor Graph-based Label Prediction for RGB-Infrared Tracking," IEEE Transactions on Industrial Informatics (T-II), 2019.
  • S. Yang, W. Zhang, W.Z. Lu, H.S. Wang and Y.B. Li, "Learning Actions from Human Demonstration Video for Robotic Manipulation," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
  • B.R. Wang, L. Ma, W. Zhang, W.H. Jiang, J.W. Wang and W. Liu, "Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network," IEEE International Conference on Computer Vision (ICCV), 2019.
  • Y.C. Wu, Z.H. Rao, W. Zhang, S.J. Lu, W.Z. Lu and Z.J. Zha, "Exploring the Task Cooperation in Multi-goal Visual Navigation," International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  • C.H. Xue, L.J. Lu and W. Zhang, "MSR: Multi-Scale Shape Regression for Scene Text Detection," International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  • B.R. Wang, L Ma, W. Zhang, W.H. Jiang and F. Zhang, "Hierarchical Photo-Scene Encoder for Album Storytelling," AAAI Conference on Artificial Intelligence (AAAI), 2019.
2018
  • X.Y. He and W. Zhang, "Emotion Recognition by Assisted Learning with Convolutional Neural Networks," Neurocomputing, 2018.
  • W.Z. Lu, W.Y. Li, W. Zhang and S.T. Xia, "Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4," IEEE Transactions on Signal and Information Processing over Networks (T-SIPN), 2018.
  • W. Zhang, K. Song, X.W. Rong and Y.B. Li, "Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning," IEEE Transactions on Automation Science and Engineering (T-ASE), 2018.
  • W. Zhang, Y.M. Li, W.Z. Lu, X.S. Xu, Z.W. Liu and X.Y. Ji, "Learning Intra-Video Difference for Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.
  • L. Qu, K.X. Liu, B.C. Yao, J. Tang and W. Zhang, "Real-Time Visual Tracking with ELM Augmented Adaptive Correlation Filter," Pattern Recognition Letters (PRL), 2018.
  • W. Zhang, S.N. Hu and K. Liu, "Compact Appearance Learning for Video-Based Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.
  • W. Zhang, W.D. Zhang, K. Liu and J. Gu, "A Feature Descriptor based on Local Normalized Difference for Real-World Texture Classification," IEEE Transactions on Multimedia (T-MM), 2018.
  • W. Zhang, Q. Chen, W.D. Zhang and X. He, "Long-Range Terrain Perception using Convolutional Neural Networks," Neurocomputing, 2018.
  • X.Y. He, W. Zhang, H.F. Zhang, L. Ma and Y.B. Li, "Reversible Data Hiding for High Dynamic Range Images Using Edge Information," Multimedia Tools and Applications, 2018.
  • W. Zhang, X. Yu and X. He, "Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.
  • B.W. Wang, L. Ma, W. Zhang and W. Liu, "Reconstruction Network for Video Captioning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  • T. Sun, W. Zhang, Z. Wang, Lin Ma and Z. Jie, "Image-Level to Pixel-Wise Labeling: From Theory to Practice," International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  • Y. Wu, W. Zhang and K. Song, "Master-Slave Curriculum Design for Reinforcement Learning," International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  • K. Song, W. Zhang and X. Rong, "UAV Target Tracking with A Boundary-Decision Network," International Conference on Pattern Recognition (ICPR), 2018.
2017
  • L. Li, J. Yao, H. A. Li, M. H. Xia and W. Zhang, "Optimal Seamline Detection in Dynamic Scenes via Graph Cuts for Image Mosaicking," Machine Vision and Application (MVA), 2017.
  • W. Zhang, S. N. Hu and K. Liu, "Patch-Based Correlation for Deghosting in Exposure Fusion," Information Sciences, 2017.
  • W. Zhang, B. Ma, K. Liu and R. Huang, "Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model," IEEE Transactions on Image Processing (T-IP), 2017.
  • M. Xia, J. Yao, R. Xie, L. Li and W. Zhang, "Globally Consistent Alignment for Planar Mosaicking via Topology Analysis," Pattern Recognition, 2017.
  • W.D. Zhang, W. Zhang, K. Liu and J. Gu, "Learning to Predict High-Quality Edge Maps for Room Layout Estimation," IEEE Transactions on Multimedia (T-MM), 2017.
  • K. Zhang and W. Zhang, "Loop Closure Detection Based on Generative Adversarial Networks for Simultaneous Localization and Mapping Systems," Chinese Automation Congress (CAC), 2017.
  • S. Hu and W. Zhang, "Exploiting Patch-Based Correlation for Ghost Removal in Exposure Fusion," International Conference on Multimedia & Expo (ICME), 2017.
2016
  • L. Li, J. Yao, R.P. Xie, M.H. Xia and W. Zhang, "A Unified Framework for Street-View Panorama Stitching," Sensors, 2016.
  • W. Zhang, S.N. Hu, K. Liu and J. Yao, "Motion-free Exposure Fusion based on Inter-Consistency and Intra-Consistency," Information Sciences, 2016.
  • W. Zhang, C. Qu, Lin Ma, J. Guan and R. Huang, "Learning Structure of Stereoscopic Image for No-Reference Quality Assessment with CNN," Pattern Recognition, 2016.
  • W. Zhang, K. Liu, W.D. Zhang, Y. Zhang and J. Gu, "Deep Neural Networks for Wireless Localization in Indoor and Outdoor Environments," Neurocomputing, 2016.
  • Q. Liu, W. Zhang, H. Li and K. Ngan, "Hybrid Human Detection and Recognition in Surveillance," Neurocomputing, 2016.
  • X. Lu, J. Yao, Li Li, Y. Liu, and W. Zhang, "Edge Chain Detection by Applying Helmholtz Principle on Gradient Magnitude Map," International Conference on Pattern Recognition (ICPR), 2016.
  • J. Weng, W. Zhang, W.D. Zhang and J. Gao, "Pyramid Stereo Matching for Spherical Panoramas," IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016.
2015
  • W. Zhang, Y. Zhang, L. Ma, J. Guan and S. Gong, "Multimodal Learning for Facial Expression Recognition," Pattern Recognition, 2015.
  • J. Guan, W. Zhang, J. Gu and H. Ren, "No-Reference Blur Assessment Based on Edge Modeling," Visual Communication and Image Representation, 2015.
  • J. Niu and W. Zhang, "Comparative Analysis of Statistical Models in Rainfall Prediction," 2015 IEEE International Conference on Information and Automation (ICIA), 2015.
  • K. Liu, B. Ma, W. Zhang and R. Huang, "A Spatio-Temporal Appearance Representation for Video-based Pedestrian Re-Identification," 2015 IEEE International Conference on Computer Vision (ICCV), 2015.
2014
  • P. Duan, G. Tian and W. Zhang, "Human Localization Based on Distributed Laser Range Finders," International Journal of Hybrid Information Technology, 2014.
  • Y. Fu, W. Zhang, M. Mandal and Q. Meng, "Computer-Aided Bleeding Detection in WCE Video," IEEE Journal of Biomedical and Health Informatics, (T-JBHI), 2014.
  • W. Zhang, K. Liu, W.D. Zhang, Y. Zhang and J. Gu, "Wi-Fi Positioning Based on Deep Learning," IEEE International Conference on Information and Automation (ICIA), 2014. (Best paper award)
  • H. Zhang, F. Zhou, W. Zhang, Z. Chen and X. Yuan, "Real-Time Action Recognition based on a Modified Deep Belief Network Model," IEEE International Conference on Information and Automation (ICIA), 2014.
  • C. Chua, H. Ren and W. Zhang, "Towards a Touchless Master Console for Natural Interactions in Sterilized and Cognitive Robotic Surgery Environments," Robot Intelligence Technology and Applications 2, Advances in Intelligent Systems and Computing, 2014.
2013
  • H. Cheng, S. Wei, W. Zhang and C. Zhang, "Phase Retrieval in Lens-Based Fresnel Wave Propagation Model," Optical Engineering, 2013.
  • T. Liu, W. Zhang, J. Gu and H. Ren, "A Laser Radar Based Mobile Robot Localization Method," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.
  • W. Liu, H. Ren, W. Zhang and S. Song, "Cognitive Tracking of Surgical Instruments Based on Stereo Vision and Depth Sensing," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013. (Best paper award)
  • W. Chi, W. Zhang, J. Gu and H. Ren, "A Vision-Based Mobile Robot Localization Method," IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.
2012
  • W. Zhang and W. K. Cham, "Single Image Refocusing and Defocusing," IEEE Transactions on Image Processing (T-IP), 2012.
  • W. Zhang and W. K. Cham, "Reference-Guided Exposure Fusion in Dynamic Scenes," Journal of Visual Communication and Image Representation (VCIR), 2012.
  • W. Zhang and W. K. Cham, "Gradient-directed Multi-Exposure Composition," IEEE Transactions on Image Processing (T-IP), 2012.
  • Y. Fu, T. Yan, W. Zhang and Q.-H. Meng, "A Partial Differential Equation Algorithm for Image Enhancement," IEEE International Conference on Information and Automation (ICIA), 2012.
  • H. Liu, T. Yan, Y. Cheng, W. Zhang and Q.-H. Meng, "Image Segmentation by Improved Level Set Evolution Algorithm," IEEE International Conference on Information and Automation (ICIA), 2012.
  • Y. Yu, J. Gu and W. Zhang, "An Automatic Method for Detecting Objects of Interest in Videos Using Surprise Theory," IEEE International Conference on Information and Automation (ICIA), 2012.
  • Y. Fu, H. Liu, W. Zhang and Q.-H. Meng, "3D Shape Recovery of Luminal Wall from WCE Image," IEEE International Conference on Automation and Logistics (ICAL), 2012.
  • T. Li, W. Zhang, Y. Fu and Q.-H. Meng, " Blur Removal for Humanoid Robots," IEEE International Conference on Automation and Logistics (ICAL), 2012.
Before 2011
  • W. Zhang and W. K. Cham, "Hallucinating Face in the DCT Domain," IEEE Transactions on Image Processing (T-IP), 2011.
  • Y. Fu, W. Zhang and Q. Meng, "Storyboard of WCE Video Extraction Based on Frame Difference," International Journal of Information Acquisition (IJIA), 2011.
  • W. Zhang and W. K. Cham, "Gradient-Directed Composition of Multi-Exposure Images," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  • W. Zhang and W. K. Cham, "High Quality Artifact-free Super-resolution," IEEE International Conference on Image Processing (ICIP), 2010.
  • W. Zhang, J. Yao and W. K. Cham, "3D Modeling from Multiple Images," Lecture Notes in Computer Science (LNCS), 2010.
  • W. Zhang and W. K. Cham, "Single Image Focus Editing," IEEE International Conference on Computer Vision (ICCV-CRICV), 2009.
  • W. Zhang and W. K. Cham, "A Single Image Based Blind Super-Resolution Approach," IEEE International Conference on Image Processing (ICIP), 2008.
  • W. Zhang and W. K. Cham, "Learning-based Face Hallucination in DCT Domain," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  • W. Zhang and W. K. Cham, "Image-Based Modeling from Multiple Views," BJ-HK Doctoral Forum, 2008.
  • W. Zhang and S. Wei, "A Simple Method for 3D Reconstruction from Two Views," International Journal on Graphics, Vision and Image Processing (GVIP), 2005.
  • W. Zhang, Q. Zhang, L. Qu and S. Wei, "A Stereo Matching Algorithm Based on Multiresolution and Epipolar Constraint," International Conference on Image and Graphics, 2004.