卢湖川的部分论文

Huchuan Lu’s publication(Selected)

DUTS Saliency Dataset Relseased [Website]

DUT-OMRON Saliency Dataset Relseased [Website]

Book and Survey:

Huchuan Lu, Dong Wang, Online Visual Tracking, Springer, 2019 [PDF(baidu)][PDF(google)]

Peixia Li, Dong Wang, Lijun Wang, Huchuan Lu, Deep Visual Tracking: Review and Experimental Comparison, Pattern Recognition, 2018, Vol.76, P323-338 [PDF(baidu)][PDF(google)][BibTex]

Huchuan Lu, Fan Yang, Active Shape Model and Its  Application to Face Alignment, Subspace Methods for Pattern Recognition in Intelligent Environment(Eds. Yen-Wei Chen, Lakhmi C. Jain), Studies in Computational Intelligence, Springer, Volume 552, 2014, pp 1-31 [PDF]

2022:

  1. Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan, Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline, CVPR 2022 [PDF ] [code ]

  2. Youwei Pang, Xiaoqi Zhao, Tian-zhu Xiang, Lihe Zhang, Huchuan Lu, Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022 [PDF ] [code ]

  3. Weihua He, Kaichao You, Zhendong Qiao, Xu Jia, Ziyang Zhang, Wenhui Wang, Huchuan Lu, Yaoyuan Wang, Jianxing Liao, TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation, CVPR 2022 [PDF ] [code ]

  4. Takashi Isobe, Xu Jia, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai, Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling, CVPR 2022 [PDF ] [code ]

  5. Yifan Wang, Wenbo Zhang, Lijun Wang, Ting Liu, Huchuan Lu, Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection, CVPR 2022 [PDF ] [code ]

  6. Shuai Liu, Xin Li, Huchuan Lu, You He, Multi-Object Tracking Meets Moving UAV, CVPR 2022 [PDF ] [code ]

  7.  Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan, Self-Supervised Pretraining for RGB-D Salient Object Detection, AAAI 2022 [PDF ] [code ]

  8. Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu, You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation, AAAI 2022 [PDF ]

  9.  Haojie Zhao, Bin Yan, Dong Wang, Xuesheng Qian, Xiaoyun Yang, Huchuan Lu, Effective Local and Global Search for Fast Long-term Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 [PDF ] [code ]

  10.  Wenda Zhao;Tingting Tong;Libo Yao;Yu Liu;Congan Xu;You He, Huchuan Lu, Feature Balance for Fine-Grained Object Classification in Aerial Images, IEEE Transactions on Geoscience and Remote, 2022 [PDF ] [code ]

  11.  Guang Feng, Jinyu Meng, Lihe Zhang, Huchuan Lu, Encoder Deep Interleaved Network with Multi-scale Aggregation for RGB-D Salient Object Detection, Pattern Recognition, 2022 [PDF ] [code ]

  12.  Wei Wu, Yongri Piao, Miao Zhang, Yongyao Jiang, Huchuan Lu, Noise-Sensitive Adversarial Learning for Weakly Supervised Salient Object Detection, IEEE Transactions on Multimedia, 2022 [PDF ] [code ]

  13.  Yongyao Jiang, Yongri Piao, Miao Zhang, Jian Wang, Huchuan Lu, PANet: Patch-Aware Network for Light Field Salient Object Detection, IEEE Transactions on Cybernetics, 2022 [PDF ] [code ]

  14.  Wei Ji, Ge Yan, Jingjing Li, Yongri Piao, Shunyu Yao, Miao Zhang, Li Cheng, Huchuan Lu, DMRA: Depth-Induced Multi-Scale Recurrent Attention Network for RGB-D Saliency Detection, IEEE Transactions on Image Processing, 2022 [PDF ] [code ]

2021:

  1. Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel, CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction, ICCV 2021 [code ]

  2. Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu, Learning Spatio-Temporal Transformer for Visual Tracking, ICCV 2021 [PDF ] [code ]

  3. Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu, MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection, ICCV 2021 [PDF ] [code ]

  4. Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Huchuan Lu, etc., DCFNet: Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection, ICCV 2021 [PDF ] [code ]

  5. Lijun Wang, Yifan Wang, Linzhao Wang, Yunlong Zhan, Ying Wang, Huchuan Lu, Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?, ICCV2021 [PDF[提取码:wbrp] ] [code ]

  6. Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang, Video Annotation for Visual Tracking via Selection and Refinement, ICCV2021 [PDF ] [code ]

  7. Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang,  Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation, ICCV2021 [PDF[提取码: dpis] ] [code ]

  8. Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu, Transformer Tracking, CVPR2021 [PDF ] [code ]

  9. Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang, Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation, CVPR2021 [PDF ] [code ]

  10. Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu, LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search, CVPR2021 [PDF ] [code ]

  11. Wenda Zhao, Cai Shang, Huchuan Lu, Self-generated Defocus Blur Detection via Dual Adversarial Discriminators, CVPR2021 [PDF ] [code ]

  12. Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu, Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images, CVPR2021 [PDF ] [code ]

  13. Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang, Multi-Target Domain Adaptation with Collaborative Consistency Learning, CVPR2021 [PDF ] [code ]

  14. Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu, Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation, CVPR2021 [PDF ] [code ]

  15. Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng, Calibrated RGB-D Salient Object Detection, CVPR2021 [PDF ] [code ]

  16. Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xiaoyun Yang, Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification, CVPR2021 [PDF ] [code ]

  17. Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu, Similarity Reasoning and Filtration for Image-Text Matching, AAAI2021 [PDF ] [code ]

  18. Miao Zhang, Tingwei Liu, Yongri Piao, Shunyu Yao, Huchuan Lu, Auto-MSFNet: Search Multi-scale Fusion Network for Salient Object Detection, ACM MM2021 [PDF ] [code ]

  19. Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu, HAT: Hierarchical Aggregation Transformers for Person Re-identification, ACM MM2021 [PDF ] [code ]

  20. Xiaoqi Zhao, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu, Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation, ACM MM2021[Oral] [PDF ] [code ]

  21. Shuai Liu, Lu Zhang, Shuai Hao, Huchuan Lu, You He, Polar Ray: A Single-stage Angle-free Detector for Oriented Object Detection in Aerial Images, ACM MM2021 [PDF ] [code ]

  22. Xiaoqi Zhao, Lihe Zhang, Huchuan Lu, Automatic Polyp Segmentation via Multi-scale Subtraction Network, MICCAI 2021 [PDF ] [code ]

  23. Wenda Zhao, Xueqing Hou, You He, Huchuan Lu, Defocus Blur Detection via Boosting Diversity of Deep Ensemble Networks, IEEE Transactions on Image Processing, 2021 [PDF ] [code ]

  24.  Guang Feng, Zhiwei Hu, Lihe Zhang, Jiayu Sun, Huchuan Lu, Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 2021 [PDF ] [code ]

  25.  Yifan Wang, Wenbo Zhang, Lijun Wang, Fenghua Yang, Huchuan Lu, Temporal consistent portrait video segmentation, Pattern Recognition, 2021 [PDF ] [code ]

2020:

  1. Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang, Suppress and Balance: A Simple Gated Network for Salient Object Detection, ECCV2020[Oral] [PDF ] [BibTex ] [code ]

  2. Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan, CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss, ECCV2020[Spotlight] [PDF ] [BibTex ] [code ]

  3. Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang, A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection, ECCV2020 [PDF ] [BibTex ] [code ]

  4. Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu, Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection, ECCV2020 [PDF ] [BibTex ] [code ]

  5. Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu, Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection, ECCV2020 [PDF(baidu:IIAU) ] [BibTex ] [code ]

  6. Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu, Accurate RGB-D Salient Object Detection via Collaborative Learning, ECCV 2020 [PDF ] [BibTex ] [code ]

  7. Lu Zhang, Jianming Zhang, Zhe Lin, Radomir Mech, Huchuan Lu, You He, Unsupervised Video Object Segmentation with Joint Hotspot Tracking, ECCV2020 [PDF(baidu:IIAU) ] [PDF(google) ] [BibTex ] [code ]

  8. Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling, ECCV2020 [PDF ] [BibTex ] [API ]

  9. Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang, High-Performance Long-Term Tracking with Meta-Updater, CVPR2020[Oral] [PDF(baidu:kexg)] [PDF(google)] [BibTex] [code] [Best Paper Award Nominee]

  10. Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang, Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises, CVPR2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  11. Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu, SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation, CVPR2020 [PDF] [BibTex] [code]

  12. Yongri Piao, Zhengkun Rong, Miao Zhang, Weisong Ren, Huchuan Lu, A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection, CVPR2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  13. Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, Huchuan Lu, Select, Supplement and Focus for RGB-D Saliency Detection, CVPR2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  14. Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu, Pose-guided Visible Part Matching for Occluded Person ReID, CVPR2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  15. Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu, Multi-scale Interactive Network for Salient Object Detection, CVPR2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  16. Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu, Bi-directional Relationship Inferring Network for Referring Image Segmentation, CVPR2020 [PDF] [BibTex] [code]

  17. Yongri Piao, Zhengkun Rong, Miao Zhang, Huchuan Lu, Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection, AAAI2020 [PDF(baidu:iiau)] [PDF(google)] [BibTex] [code]

  18. Jie Zhao, Kenan Dai, Dong Wang, Huchuan Lu, Xiaoyun Yang, Online Filtering Training Samples for Robust Visual Tracking, ACMMM2020 [PDF ] [BibTex ] [code ]

  19. Miao Zhang, Yu Zhang, Yongri Piao, Beiqi Hu, Huchuan Lu, Feature reintegration over differential treatment: a top-down and adaptive fusion network for RGB-D SOD, ACM MM2020. [PDF ] [code ]

  20. Yue Wang, Yuke Li, James H. Elder, Runmin Wu, Huchuan Lu, Lu Zhang, Synergistic saliency and depth prediction for RGB-D saliency detection, ACCV 2020 [PDF ] [BibTex ] [code ]

  21. Yingming Wang, Lijun Wang, Huchuan Lu, You He, Segmentation Based Rotated Bounding Boxes Prediction and Image Synthesizing for Object Detection of High Resolution Aerial Images, Neurocomputing, 2020 [PDF ] [BibTex ] [code ]

  22. Wenda Zhao, Xueqing Hou, Xiaobin Yu, You He, Huchuan Lu, Towards Weakly-Supervised Focus Region Detection via Recurrent Constraint Network, IEEE Transactions on Image Processing, 2020 [PDF ] [BibTex ] [code ]

2019:

  1. Miao Zhang, Jingjing Li, Wei Ji, Yongri Piao, Huchuan Lu, Memory-oriented Decoder for Light Field Salient Object Detection, NIPS2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  2. Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu, GradNet: Gradient-Guided Network for Visual Object Tracking, ICCV 2019[Oral] [PDF(baidu)] [PDF(google)] [code] [BibTex]

  3. Zimo Liu, Jingya Wang, Shaogang Gong, Dacheng Tao, Huchuan Lu, Deep Reinforcement Active Learning for Human-In-The-Loop Person Re-Identification, ICCV 2019[Oral] [PDF(baidu)] [PDF(google)] [BibTex]

  4. Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang, Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion, ICCV 2019[Oral] [PDF(baidu)] [PDF(google)] [BibTex] [code]

  5. Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, Huchuan Lu, Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection, ICCV 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  6. Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang, `Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking, ICCV 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  7. Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He, Fast Video Object Segmentation via Dynamic Targeting Network, ICCV 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  8. Yi Zeng, Pingping Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, Towards High-Resolution Salient Object Detection, ICCV 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  9. Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Joint learning of saliency detection and weakly supervised semantic segmentation, ICCV 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  10. Tiantian Wang, Yongri Piao, Huchuan Lu, Xiao Li, Lihe Zhang, Deep Learning for Light Field Saliency Detection, ICCV 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  11. Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li, Visual Tracking via Adaptive Spatially-Regularized Correlation Filters, CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  12. Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu, ROI Pooled Correlation Filters for Visual Tracking, CVPR 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  13. Yu Zeng, Yunzi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu, Multi-source weak supervision for saliency detection, CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  14. Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding, A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  15. Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He, CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  16. Mengyang Feng, Huchuan Lu, Errui Ding, Attentive Feedback Network for Boundary-Aware Salient Object Detection,CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  17. Wenda Zhao, Bowen Zheng, Qiuhua Lin, Huchuan Lu, Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network,CVPR 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  18. Yunzhi Zhuge, Yu Zeng, Huchuan Lu, Deep Embedding Features for Salient Object Detection AAAI 2019. [PDF(baidu)] [PDF(google)] [BibTex]

  19. Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu. Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 [PDF] [code] [BibTex]

  20. Linzhao Wang, Lijun Wang, Huchuan Lu, Pingping Zhang, Xiang Ruan, Salient Object Detection with Recurrent Fully Convolutional Networks, IEEE Transaction on Pattern Analysis and Machine Intelligence, 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  21. Pingping Zhang, Wei Liu, Huchuan Lu and Chunhua Shen, Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss, IEEE on Image Processing, 2019 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  22. Baohua Li, Huchuan Lu, Ying Zhang,Zhouchen Lin, Wei Wu, Subspace Clustering under Complex Noise, IEEE Transactions on Circuits and Systems for Video Technology, 2019 [PDF(baidu)] [PDF(google)] [BibTex]

  23. Zimo Liu, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang, Person Re-identification by Joint Local Distance Metric and Feature Transformation, IEEE Transactions on Neural Networks and Learning Systems, 2019 [PDF(baidu)] [PDF(google)] [BibTex]

  24. Wenda Zhao,  Dong Wang, Huchuan Lu, Multi-focus image fusion with a natural enhancement via joint multi-level deeply supervised convolutional neural network, IEEE Transactions on Circuits and Systems for Video Technology, 2019 [PDF] [BibTex]

  25. Mingyang Qian, Jinqing Qi, Lihe Zhang, Mengyang Feng, Huchuan Lu, Language-aware weak supervision for salient object detection, Pattern Recognition, 2019 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  26. Pingping Zhang, Wei Liu, Hongyu Wang, Yinjie Lei, Huchuan Lu, Deep Gated Attention Networks for Large-scale Street-level Scene Segmentation, Pattern Recognition, 2019, Vol.88, P702-714 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  27. Boyu Chen, Peixia Li, Chong Sun, Dong Wang, Gang Yang, Huchuan Lu, Multi attention module for visual tracking, Pattern Recognition, 2019, Vol 87, P80-93   [PDF(baidu)] [PDF(google)] [BibTex]

  28. Abdelhafid Dakhia,Tiantian Wang, Huchuan Lu, A hybrid-backward refinement model for salient object detection, Neurocomputing, 2019, Vol.358,P72-80 [PDF(baidu)] [PDF(google)] [BibTex]

2018:

  1. Yunhua Zhang, Lijun Wang, Jinqing Qi, Dong Wang, Mengyang Feng, Huchuan Lu, Structured Siamese Network for Real-Time Visual Tracking, ECCV 2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  2. Ying Zhang, Huchuan Lu, Deep Cross-Modal Projection Learning for Image-Text Matching, ECCV 2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  3. Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu, Real-time ‘Actor-Critic’ Tracking, ECCV 2018  [PDF(baidu)] [PDF(google)] [BibTex] [code]

  4. Pinging Zhang, Wei Liu, Huchuan Lu, Chunhua Shen, Salient Object Detection by Lossless Feature Reflection, IJCAI2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  5. Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji, Detect Globally, Refine Locally: A Novel Approach to Saliency Detection, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  6. Lu Zhang, Ju Dai, Huchuan Lu, You He, Gang Wang, A Bi-directional Message Passing Model for Salient Object Detection, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  7. Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu, Deep Mutual Learning, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  8. Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang, Learning Spatial-Aware Regressions for Visual Tracking, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  9. Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang, Correlation Tracking via Joint Discrimination and Reliability Learning, CVPR2018 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  10. Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji, Learning to Promote Saliency Detectors, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  11. Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang, Progressive Attention Guided Recurrent Network for Salient Object Detection, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  12. Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu, Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network, CVPR2018, [PDF(baidu)] [PDF(google)] [BibTex] [Project]

  13. Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai and Ming-Hsuan Yang,Learning Dual Convolutional Neural Networks for Low-Level Vision, CVPR2018 [PDF(baidu)] [PDF(google)] [BibTex]

  14. Lijun Wang, Xiaohui Shen, Jianming Zhang, Oliver Wang, Zhe Lin, Chih-Yao Hsieh, Sarah Kong and Huchuan Lu, DeepLens: Shallow Depth of Field from a Single Image, ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2018, Vol.37, No.6, P1-11 [PDF(baidu)] [PDF(google)] [code] [BibTex]

  15. Yu Zeng, Mengyang Feng, Huchuan Lu, Ali Borji, An Unsupervised Game-theoretic Approach to Salient Object Detection, IEEE Transaction on Image Processing, 2018, Vol.27, No.9, P4545-4554 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  16. Yuqiu Kong, Jianming Zhang, Huchuan Lu, Xiuping Liu, Exemplar-aided Salient Object Detection via Joint Latent Space Embedding, IEEE Transactions on Image Processing, 2018, Vol.27, No.10, P5167-5177 [PDF(baidu)] [PDF(google)] [BibTex] [code]

  17. Yao Qin, Meng Yang, Huchuan Lu, Garrison W. Cottrell,Hierarchical Cellular Automata for Visual Saliency, International Journal of Computer Vision, 2018, Vol.126, No.7, P751-770 [PDF(baidu)] [PDF(google)] [BibTex]

  18. Lihe Zhang,Jianwu Ai,Bowen Jiang, Huchuan Lu, Xiukui Li, Saliency Detection via Absorbing Markov Chain with Learnt Transition Probability,IEEE Transaction on Image Processing, 2018, Vol.27, No.2, P987-998[ PDF(baidu)] [PDF(google)] [BibTex] [CODE]

  19. Ju Dai, Ying Zhang, Huchuan Lu, Hongyu Wang, Cross-view Semantic Projection Learning for Person Re-identication, Pattern Recognition, 2018, Vol.75, P63-76[ PDF(baidu)] [PDF(google)] [BibTex]

  20. Baohua Li, Huchuan Lu, Fu Li, Wei Wu, Subspace Clustering with K-Support Norm, IEEE Transaction on Circuits and Systems for Video Technology, 2018, Vol.28, No.2, P302-313 [PDF(baidu)] [PDF(google)] [BibTex]

  21. Shuo Wang, Dong Wang, Huchuan Lu, Tracking with Static and Dynamic Structured Correlation Filters,IEEE Transaction on Circuits and Systems for Video Technology, 2018, Vol.28, No.10, P2861-2869 [PDF(baidu)] [PDF(google)] [BibTex]

  22. Lijun Wang, Huchuan Lu, Minghsuan Yang, Constrained Superpixel Tracking, IEEE Transaction On Systems, Man, and Cybernetics Part B, 2018, Vol.48, No.3, P1030-1041 [PDF(baidu)] [PDF(google)] [BibTex]

  23. Xiaoning Zhang, Di Xiao, Jianhua Li, Jingqing Qi, Huchuan Lu,Predicting Human Gaze with Multi-level Information, Signal Processing, 2018, Vol.147, P92-100 [PDF(baidu)] [PDF(google)] [BibTex]

  24. Chunjuan Bo, Huchuan Lu, Dong Wang, Spectral-spatial K-Nearest Neighbor approach for hyperspectral image classification,Multimedia Tools and Applications, 2018, Vol.77, No.9, P10419-10436 [PDF(baidu)] [PDF(google)] [BibTex]

  25. Yunzhi Zhuge, Gang Yang, Pingping Zhang, Huchuan Lu, Boundary-Guided Feature Aggregation Network for Salient Object Detection IEEE Signal Processing Letters, 2018, Vol.25, No.12, P1800-1804 [PDF(baidu)] [PDF(google)] [BibTex]

2017:

  1. Pingping Zhang, Dong Wang, Huchuan Lu,Hongyu Wang, Xiang Ruan, Amulet: Aggregating Multi-Level Convolutional Features for Salient Object Detection,ICCV2017, [PDF] [Code] [BibTex]

  2. PingPing Zhang, Dong Wang, Huchuan Lu,Hongyu Wang,Baocai Yin,Learning Uncertain Convolutional Features for Accurate Saliency Detection, ICCV2017,[ PDF] [Code] [BibTex]

  3. Tiantian Wang, Ali Borji,Lihe Zhang,Pingping Zhang, Huchuan Lu,A Stagewise Refinement Model for Detecting Salient Objects in Images, ICCV2017,[ PDF] [Code] [BibTex]

  4. Zimo Liu, Dong Wang, Huchuan Lu, Stepwise Metric Promotion for Unsupervised Video Person Re-identification, ICCV2017,[ PDF][Code] [BibTex]

  5. Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin and Xiang Ruan,Learning to Detect Salient Objects with Image-level Supervision,CVPR2017,P3796-3805[ PDF][Code] [BibTex]

  6. Lihe Zhang, Chuan Yang, Huchuan Lu, Xiang Ruan, Minghsuan Yang, Ranking Saliency, IEEE Transaction on Pattern Analysis and Machine Intelligence,2017,Vol.39,No.9,P1892-1904[ PDF] [ BibTex](This paper is the extension of CVPR2013)

  7. Zhizhen Chi, Hongyang Li, Huchuan Lu, Minghsuan Yang, Dual Deep Network for Visual Tracking,IEEE Transaction on Image Processing,2017,Vol.26, No.4, P2005-2015[ PDF] [CODE] [BibTex]

  8. Fang Huang, Jingqing Qi, Huchuan Lu, Lihe Zhang, Xiang Ruan,  Salient Object Detection via Multiple Instance Learning,IEEE Transaction on Image Processing,2017,Vol.26, No.4, P1911-1922[ PDF] [CODE] [BibTex]

  9. Chong Sun, Dong Wang, Huchuan Lu, Person Re-identification with Latent Variables, IEEE Transaction on Image Processing,2017,Vol.26, No.1, P23-34 [PDF] [Code] [BibTex]

  10. Huchuan Lu, Na Tong, Xiaoning Zhang, Jingqing Qi, Xiang Ruan, Minghsuan Yang, Co-bootstrapping Saliency,IEEE Transaction on Image Processing,2017,Vol.26, No.1, P414-425[ PDF] [ BibTex](This paper is the extension of CVPR2015)

  11. Chong Sun, Huchuan Lu, Interactive Video Segmentation via Local Appearance Model, IEEE Transaction on Circuits and Systems for Video Technology, 2017,Vol.27,No.7,P1491-1501[ PDF] [ BibTex]

  12. Chong Sun, Fu Li, Huchuan Lu, Gang Hua, Visual Tracking via Joint Discriminative Appearance Learning, IEEE Transaction on Circuits and Systems for Video Technology, 2017,Vol.27,No.12,P2567-2577 [ PDF] [ BibTex]

  13. Fu Li, Xu Jia, Cheng Xiang, Huchuan Lu, Visual Tracking with Structured Patch-based Model, Image and Vision Computing, 2017, Vol.60, P124-133 [PDF(baidu)] [PDF(google)] [BibTex]

2016:

  1. Linzhao Wang, Lijun Wang, Huchuan Lu, Pingping Zhang, Xiang Ruan, Saliency Detection with Recurrent Fully Convolutional Networks,ECCV2016, [ PDF] [CODE]

  2. Tiantian Wang, Lihe Zhang, Huchuan Lu, Chong Sun, Jinqing Qi, Kernelized Subspace Ranking for Saliency Detection,ECCV2016, [ PDF] [Code]

  3. Yuqiu Kong, Lijun Wang, Xiuping Liu, Huchuan Lu, Xiang Ruan, Pattern Mining Saliency, ECCV2016, [ PDF] [CODE]

  4. Ying Zhang, Baohua Li, Huchuan Lu, Atsushi Irie, Xiang Ruan, Person Re-identification by Bidirectional Learning of Sample-Specific SVMs, CVPR2016,[ PDF] [CODE]

  5. Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu, STCT: Sequentially Training Convolutional Networks for Visual Tracking, CVPR2016,[ PDF][Project Site]

  6. Mengyang Feng, Ali Borji, Huchuan Lu, Fixation Prediction With a Combined Model of Bottom-Up Saliency and Vanishing Point, WACV2016,[ PDF]

  7. Ali Borji,Mengyang Feng, Huchuan Lu,Vanishing point attracts gaze in free-viewing and visual search tasks, Journal of Vision, 2016,Vol.16(14):18, P1-22 [ PDF]

  8. Chong Sun, Dong Wang, Huchuan Lu, Occlusion-Aware Fragment-based Tracking with Spatial-Temporal Consistency, IEEE Transaction on Image Processing,2016,Vol.25, No.8, P3814-3825 [PDF] [CODE]

  9. Xu Jia, Huchuan Lu, Minghsuan Yang, Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models, IEEE Transaction on Image Processing,2016,Vol.25, No.10, P4555-4564 [ PDF](This paper is the extension of CVPR2012)

  10. Huchuan Lu, Xiaohui Li, Lihe Zhang, Xiang Ruan, MingHsuan Yang,Dense and Sparse Reconstruction Error Based Saliency Descriptor, IEEE Transaction on Image Processing,2016,Vol.25, No.4, P1592-1603[ PDF] (This paper is the extension of ICCV2013)

  11. Lihe Zhang, Huchuan Lu, Dandan Du, Luning Liu, Sparse Hashing Tracking, IEEE Transaction on Image Processing,2016,Vol.25, No.2, P840-849[ PDF]

  12. Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan,Shun Sakai, Video anomaly detection based on locality sensitive hashing filters, Pattern Recognition,2016,Vol.59,P302-311[ PDF]

  13. Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, Combining Motion and Appearance Cues for Anomaly Detection, Pattern Recognition,2016,Vol.51,P443-452[ PDF]

  14. Dong Wang, Huchuan Lu, Minghsuan Yang, Robust Visual Tracking via Least Soft-threshold Square, IEEE Transaction on Circuits and Systems for Video Technology, 2016,Vol.26, No.9, P1709-1721[ PDF]

  15. Fu Li, Huchuan Lu, Dong Wang, Yi Wu, Kaihua Zhang,Dual Group Structured Tracking,IEEE Transaction on Circuits and Systems for Video Technology,2016,Vol.26, No.9, P1697-1708[ PDF]

  16. Dandan Du, Lihe Zhang, Huchuan Lu, Xue Mei, Xiaoli Li, Discriminative Hash Tracking with Group Sparsity,IEEE Transaction On Systems, Man, and Cybernetics Part B, 2016,Vol.46,No.8,P1914-1925 [ PDF]

  17. Xiaoli Li, Zhifeng Han, Lijun Wang, Huchuan Lu, Visual Tracking via Random Walks on Graph Model, IEEE Transaction On Systems, Man, and Cybernetics Part B, 2016,Vol.46,No.9,P2144-2155 [ PDF]

  18. Chunjuan Bo, Dong Wang, Huchuan Lu, Hyperspectral Image Classification via JCR and SVM Models With Decision Fusion, IEEE Geoscience and Remote Sensing Letters, 2016, Vol.13, No.2, P177-181.[ PDF] [CODE]

  19. Cong Jia, Jingqing Qi, Xiaohui Li, Huchuan Lu, Saliency Detection Via a Unified Generative and Discriminative Model, Neurocomputing, 2016,Vol.173,P406-417 [PDF]

  20. Huilan Jiang,Jianhua Li, Huchuan Lu, Multi-Feature Tracking via Adaptive Weights, Neurocomputing, 2016,Vol.207, P189-201 [ PDF]

  21. Lu Zhang,Jianhua Li,Huchuan Lu,Saliency Detection via Extreme Learning Machine,Neurocomputing,2016,Vol.218,P103-112[ PDF]

  22. Bohan Zhuang,Lijun Wang,Huchuan Lu,Visual Tracking via Shallow and Deep Collaborative Model,Neurocomputing,2016,Vol.218,P61-71[ PDF]

  23. Luning Liu, Huchuan Lu, Xue Mei, Joint Learning Hash Codes and Distance Metric For Visual Tracking, ICIP2016,P1709-1713 [ PDF]

2015:

  1. Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu, Visual Tracking with Fully Convolutional Networks, ICCV2015,P3119-3127[ PDF][Project Site]

  2. Yao Qin, Huchuan Lu , Yiqun Xu, He Wang, Saliency Detection via Cellular Automata, CVPR2015,P110-119[ PDF] [CODE] [中文版]

  3. Lijun Wang, Huchuan Lu, Minghsuan Yang, Deep Networks for Saliency Detection via Local Estimation and Global Search, CVPR2015,P3183-3192[ PDF][Code][Pre-computed Saliency]

  4. Na Tong, Huchuan Lu, Minghsuan Yang, Salient Object Detection via Bootstrap Learning, CVPR2015,P1884-1892[ PDF] [CODE] [中文版]

  5. Baohua Li, Ying Zhang, Zhouchen Lin, and Huchuan Lu, Subspace Clustering by Mixture of Gaussian Regression, CVPR2015,P2094-2102[ PDF][ [CODE]

  6. Jingang Sun, Huchuan Lu,  Xiuping Liu, Saliency Region Detection based on Markov Absorption Probabilities, IEEE Transaction on Image Processing, 2015, Vol.24, No.5, P1639-1649 [ Paper][ [CODE]

  7. Hongyang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian Price, Inner and Inter Label Propagation:Salient Object Detection in the Wild,IEEE Transaction on Image Processing, 2015,Vol.24, No.10, P3176-3186[ Paper] [CODE]

  8. Shuang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian Price, Adaptive Metric Learning for Saliency Detection,IEEE Transaction on Image Processing,2015,Vol.24, No.11, P3321-3331[ Paper]

  9. Dong Wang, Huchuan Lu ,Ziyang Xiao , Minghsuan Yang, Inverse Sparse Tracker with a Locally Weighted Distance Metric,IEEE Transaction on Image Processing, 2015,Vol.24, No. 9, P2646-2657 [ Paper] [CODE]

  10. Dong Wang, Huchuan Lu, Fast and Robust Object Tracking via Probability Continuous Outlier Model, IEEE Transaction on Image Processing,2015,Vol.24,No.12, P5166-5176 [ Paper]

  11. Yi Xiao, Huchuan Lu, Chong Sun, Pose Estimation Based Pose Cluster and Candidates Recombination, IEEE Transaction on Circuits and Systems for Video Technology,2015,Vol.25,No.6, P935-943 [ Paper]

  12. Dong Wang,Huchuan Lu, Chuanjuan Bo, Visual Tracking via Weighted Local Cosine Similarity, IEEE Transaction On Systems, Man, and Cybernetics Part B, 2015, Vol.45,No.9, P1838-1850 [ Paper] [CODE]

  13. Na Tong, Huchuan Lu, Ying Zhang, Xiang Ruan, Salient Object Detection via Global and Local Cues, Pattern Recognition,2015,Vol.48,No.10,P3258-3267 [ Paper] [CODE]

  14. Dong Wang, Huchuan Lu, Minghsuan Yang, Kernel Collaborative Face Recognition, Pattern Recognition,2015,Vol.48,No.10,P3025-3237[ Paper] [CODE]

  15. Lijun Wang, Huchuan Lu, Dong Wang, Visual Tracking via Structure Constrained Grouping, IEEE Signal Processing Letters,2015,Vol.22,No.7,P794-798[ PDF]

  16. Jianpeng Wang, Huchuan Lu, Xiaohui Li, Na Tong, and Wei Liu, Saliency Detection via Background and Foreground Seed Selection, Neurocomputing,2015,Vol.152, No.25, P359-368 [ Paper] [CODE]

  17. Lihe Zhang, Shoufeng Zhao, Wei Liu, Huchuan Lu, Saliency Detection via Sparse Reconstruction and Joint Label Inference in Multiple Features, Neurocomputing, 2015,Vol.155, No.1, P1-11 [ Paper]
  18. Dandan Du, Huchuan Lu, Lihe Zhang, Fu Li, Visual Tracking Via Guided Filter, International Conference on Image Processing,2015,P1781-1785[ PDF]

  19. Minghao Sun, Dandan Du, Huchuan Lu, Lihe Zhang, Visual Tracking Via Structured Local Model, International Conference on Image Processing,2015,P2855-2859[ PDF]

2014:

  1. Dong Wang, Huchuan Lu, Visual Tracking via Probability Continuous Outlier Model, CVPR2014,P3478-3485[ PDF] [CODE]

  2. Fu Li, Huchuan Lu, Dong Wang, Robust Visual Tracking with Dual Group Structure, Asian Conference on Computer Vision,2014, LNCS, Part IV, P614-629, [PDF]

  3. Bohan Zhuang, Huchuan Lu, Ziyang Xiao, Dong Wang, Visual Tracking via Discriminative Sparse Similarity Map, IEEE Transaction on Image Processing, 2014,Vol.23, No.4, P1872-1881 [ PDF] [CODE] [Project Site]

  4. Fan Yang, Huchuan Lu, Minghsuan Yang, Robust Superpixel Tracking, IEEE Transaction on Image Processing, 2014, Vol.23, No.4, P1639-1651 [ PDF] [CODE] [Project Site](This paper is the extension of ICCV2011)

  5. Wei Zhong, Huchuan Lu, Minghsuan Yang, Robust Object Tracking via Sparse Collaborative Appearance Model, IEEE Transaction on Image Processing,2014,Vol.23, No.5,P2356-2368 [ PDF] [CODE] [Project Site](This paper is the extension of CVPR2012)

  6. Fan Yang, Huchuan Lu, Minghsuan Yang,Robust Visual Tracking via Multiple Kernel Boosting with Affinity Constraints, IEEE Transaction on Circuits and Systems for Video Technology,2014, Vol.24, No.2, P242-254 [ PDF] [CODE]

  7. Ziyang Xiao, Huchuan Lu, Dong Wang, L2-RLS Based Object Tracking, IEEE Transaction on Circuits and Systems for Video Technology, 2014, Vol.24, No.8,P1301-1308 [ PDF] [CODE]

  8. Shifeng Li, Huchuan Lu, Xinqing Shao, Human Body Segmentation via Data-Driven Graph Cut, IEEE Transaction On Systems, Man, and Cybernetics–Part B, 2014,Vol.44, No.11, P2099 - 2108 [ PDF]

  9. Dong Wang, Huchuan Lu, Online Visual Tracking via Two View Sparse Representation, IEEE Signal Processing Letters, 2014,Vol.21, No.9, P1031-1034 [ PDF]

  10. Na Tong, Huchuan Lu, Lihe Zhang, Xiang Ruan, Saliency Detection with Multi-Scale Superpixels, IEEE Signal Processing Letters, 2014,Vol.21, No.9, P1035-1039 [ PDF] [CODE]

 

2013:

  1. Xiaohui Li, Huchuan Lu, Lihe Zhang, Xiang Ruan, Minghsuan Yang, Saliency Detection via Dense and Sparse Reconstruction, ICCV2013, P2976-2983 [ PDF] [CODE] [Project site]

  2. Bowen Jiang, Lihe Zhang, Huchuan Lu, Minghsuan Yang, Saliency Detection via Absorbing Markov Chain, ICCV2013, P1665-1672 [ PDF] [CODE] [Project Site]

  3. Dong Wang, Huchuan Lu, Minghsuan Yang, Least Soft-threshold Squares Tracking, CVPR2013,P2371-2378 [ PDF] [CODE] [DATA]

  4. Chuan Yang, Lihe Zhang, Huchuan Lu, Minghsuan Yang, Saliency Detection via Graph-Based Manifold Ranking, CVPR2013,P3166-3173[ PDF] [C++ Code][CODE] [Project Site][Python Implemention New]

  5. Dong Wang, Huchuan Lu, Minghsuan Yang, Online Object Tracking with Sparse Prototypes, IEEE Transaction On Image Processing, 2013,Vol.22, No.1, P314-325,[ PDF] [CODE] [DATA] [Project Site]

  6. Yulin Xie, Huchuan Lu, Minghsuan Yang, Bayesian Saliency via Low and Mid Level Cues, IEEE Transaction On Image Processing,2013,Vol.22,No.5,P1689-1698,[ PDF] [CODE] [Project Site]

  7. Huchuan Lu, Xinqing Shao, Yi Xiao, Pose Estimation with Segmentation Consistency,IEEE Transaction On Image Processing, 2013,Vol.22, No.10, P4040-4048,[ PDF]

  8. Huchuan Lu, Ruixuan Zhang, Shifeng Li, Xuelong Li, Spectral Segmentation via Midlevel Cues Integrating Geodesic and Intensity, IEEE Transaction On Systems, Man, and Cybernetics–Part B, 2013,Vol.43,No.6, P2170-2178,[ PDF]

  9. Chuan Yang, Lihe Zhang, Huchuan Lu, Graph-Regularized Saliency Detection With Convex-Hull-Based Center Prior, IEEE Signal Processing Letters, Vol.20, No.7, 2013, P637-640 [ PDF] [CODE]

  10. Dong Wang, Huchuan Lu, On-line Learning Parts-based Representation via Incremental Orthogonal Projective Non-negative Matrix Factorization, Signal Processing,Vol.93, No.6, 2013, P1608-1623[ PDF] [Code]

  11. Fan Yang, Huchuan Lu, Minghsuan Yang, Learning Structured Visual Dictionary for Object Tracking, Image and Vision Computing,2013,Vol.31, No.12, P992–999[PDF] [CODE] [Project]

  12. Huchuan Lu, Xuejiao Feng, Xiaohui Li, Lihe Zhang, Superpixel Level Object Recognition Based on Local Learning, NeuroComputing,2013,Vol.120, No.23,P203–213 [ PDF]

  13. Dong Wang, Huchuan Lu, Fast and Effective Color-based Object Tracking by Boosted Color Distribution, Pattern analysis and application (Springer),2013,Vol.16, P647—661 [ PDF]

  14. Nan Yang, Huchuan Lu, Guoliang Fang, An Effective Framework for Automatic Segmentation of Hard Exudates in Fundus Images, Journal of Circuits, Systems and Computers, Vol. 22, No. 1 (2013) 1250075[PDF]

 

2012:

  1. Wei Zhong, Huchuan Lu, Minghsuan Yang, Robust Object Tracking via
    Sparsity-based Collaborative Model, International Conference on Computer Vision and Pattern Recognition,2012,
    P1838-1845,(CVPR2012) [PDF] [CODE] [DATA][Project Site]

  2. Xu Jia, Huchuan Lu, Minghsuan Yang, Visual Tracking via Adaptive Structural Local
    Sparse Appearance Model, International Conference on Computer Vision and Pattern Recognition,2012,
    P1822-1829,(CVPR2012) [PDF] [CODE][DATA][Project Site]

  3. Huchuan Lu, Guoliang Fang, Xinqing Shao, Xuelong Li, Segmenting Human from Photo Images Based on A Coarse-to-fine Scheme, IEEE Transaction On Systems, Man, and Cybernetics–Part B,2012,Vol.42,No.3,P889-899 [ PDF] [DATASET]

  4. Huchuan Lu, Shipeng Lu, Dong Wang, Shu Wang, and Henry Leung,Pixel-wise Spatial Pyramid-Based Hybrid Tracking,IEEE Transactions on Circuits and Systems for Video Technology,Vol.22, No.9,P1365-1376[ PDF]

  5. Shifeng Li, Huchuan Lu, Lei Zhang, Arbitrary Body Segmentation in Static Images, Pattern Recognition,2012, Vol.45,P3402-3413, [PDF] [CODE] [DATASET]

  6. Dong Wang, Huchuan Lu, Object tracking via 2DPCA and L1-regularization, IEEE Signal Processing Letters, Vol.19,No.11,P711-714[ PDF] [CODE]

  7. Shifeng Li,Huchuan Lu,Ruan Xiang,Yen-wei Chen,Human body segmentation based on deformable models and two-scale superpixel, Pattern analysis and application (Springer),2012,Vol.15, P399-413 [PDF]

  8. Fan Yang, Huchuan Lu, Wenling Zhang, Gang Yang, Visual Tracking via Bag of Features,IET Image Processing,2012, Vol. 6, Issue. 2, P115–128[ PDF][Best Paper Award 2014]

  9. Shifeng Li, Huchuan Lu, body segmentation based on ICA-R at two-scale superpixel, IET Image Processing,2012, Vol. 6, Iss. 6, P770–777 [ PDF]

  10. Yi Xiao, Huchuan Lu, Shifeng Li, Posterior Constraints For Double-Counting Problem In Clustered Pose Estimation,International Conference on Image Processing,(ICIP2012),P5-8,[Oral Presentation][PDF]

  11. Xuejiao Feng, Huchuan Lu, Superpixel Level Object Recognition Under Local Learning Framework, International Conference on Image Processing,(ICIP2012),P2169-2172,[Oral Presentation][ PDF]

  12. Xu Jia, Dong Wang, Huchuan Lu, Fragment-Based Tracking Using Online Multiple Kernel Learning, International Conference on Image Processing,(ICIP2012),P393-396,[ PDF]

  13. Jing Sun, Huchuan Lu, Shifeng Li, Saliency Detection Based on Integration  of Boundary and Soft-Segmentation, International Conference on Image Processing,(ICIP2012),P1085-1088,[Best student paper award Finalists][ PDF] [CODE] [Supplementary material]

  14. Xiaohui Li, Huchuan Lu, Object Tracking Based On Local Learning, International Conference on Image Processing,(ICIP2012),P413-416,[ PDF]

  15.   Ziyang Xiao, Huchuan Lu*, Object Tracking with L2_RLS, International Conference on Pattern Recognition, 2012(ICPR2012),P681-684[ PDF]

  16.  Yao Li, Huchuan Lu*, Scene Text Detection Via Stroke Width, International Conference on Pattern Recognition,2012(ICPR2012),P1351-1354[ PDF]

  17. Gang Xu, Huchuan Lu, Zunyi Wang, Face Recognition Based On Gabor Pixel-Pattern-Based Texture Feature and Classifier Fusion,International Journal of Image and Graphics,Vol12, No.2, 1250011:1-16[ PDF]

  18. Huchuan Lu, Shipeng Lu,Yang Gang, Robust Eye Tracking in Video Sequence, Journal of Circuits, Systems and Computers,2012,Vol: 21, Issue.1,pp. 1250012:1-13 [PDF]

  19. Shifeng Li,Meng Yao, Huchuan Lu, Human Body Segmentation In a Static Image With On-line Adaboost at Multiscale Superpixels, International Journal of Image and Graphics,Vol. 12, No. 3 (2012) 1250018:1-15 [ PDF]

  20. Dong wang, Gang Yang, Huchuan Lu, Tri-tracking: Combining Three Independent Views for Robust Visual Tracking, International Journal of Image and Graphics,Vol. 12, No. 3 (2012) 1250021:1-20 [ PDF]

2011:

  1. Shu Wang, Huchuan Lu, Fan Yang, Ming-hsuan Yang, Superpixel Tracking, International Conference on Computer Vision,2011,P1323-1330,(ICCV2011 )[PDF] [New CODE Ver:2.3][ DATA] [Project Site][Most Rememberred Poster]

  2. Yulin Xie, Huchuan Lu, Visual Saliency Detection Based on Bayesian Model, International Conference on Image Processing,2011,P645-648,(ICIP2011),(Oral presentation)[PDF] [CODE][Best Student Paper Nomination]

  3. Shifeng Li,Huchuan Lu,Xiang Ruan, Yen-wei Chen,Pose Estimation and Body Segmentation Based on Hierarchical Searching Tree,International Conference on Image Processing,2011,P1289-1292,(ICIP2011),(Oral presentation)[PDF]

  4. Dong Wang, Huchuan Lu, Incremental Orthogonal Projective Non-negative Matrix Factorization and Its Applications, International Conference on Image Processing,2011,P2077-2080,(ICIP2011)[ PDF]

  5. Shu Wang, Huchuan Lu, Complementary Visual Tracking,International Conference on Image Processing,2011,P477-480,(ICIP2011)[ PDF]

  6. Huchuan LuQiuhong ZhouDong wangXiangRuan, A Co-training Framework for Visual Tracking with Multiple Instance, Automatic Face and Gesture Recognition,2011,P539-544 (FG2011) [ PDF] [CODE]

  7. Qiuhong Zhou, Huchuan LuMing-hsuan Yang, Online Multiple Support Instance Tracking, Automatic Face and Gesture Recognition,2011,P545-552 (FG2011) [ PDF] [CODE]

  8. Dong Wang, Huchuan Lu, Xuelong Li, Two Dimensional Principal Components of Natural Images and Its Application, Neuro Computing(Elsevier), 2011,Vol 74, Issue 17, P2745-2753 [PDF] [CODE]

  9.  Huchuan LuDong wangRuijuan Zhang Yen-wei Chen, Video object pursuit by tri-tracker with on-line learning from positive and negative candidates, IET Image Processing, 2011,Vol 5,Issue 1,P101-111[PDF]

  10. Shifeng Li, Huchuan Lu, Arbitrary Body Segmentation with A Novel Graph Cuts-based Algorithm, IEEE Signal Processing Letter,2011,Vol 18, Issue 12,P753-756 [ PDF]

  11. Huchuan Lu, Dong Wang, Yen-wei Chen, Hao Chen, A Novel Texture-based Multi-linear Analysis Algorithm for Face Recognition, International Journal of Image and Graphics,2011,Vol 11 Issue 4,P495-508 [ PDF]

2010:

  1.       Huchuan LuYingjie HuangYen-wei Chen, Automatic facial expression recognition based on pixel-pattern-based texture feature, International Journal of Image Systems and Technology, Wiley,2010,Vol 20, Issue 3,P253-260 [ PDF]

  2.      Huchuan Lu, Guo-Liang Fang, Chao Wang, Yen-Wei Chen, A novel method for gaze tracking by local pattern model and support vector regressor, Signal Processing, Elsevier,2010,Vol 90, Issue 4, P1290-1299.[PDF]

  3.      Huchuan Lu, Wenling Zhang, Yen-wei Chen, On Feature Combination and Multiple Kernel Learning for Object Tracking, Asian Conference on Computer Vision,2010, P511-522,(ACCV2010) (PDF)

  4.     Huchuan Lu, Shipeng Lu, Yen-wei Chen, Robust Tracking Based on Pixel-wise Spatial Pyramid and Biased Fusion, Asian Conference on Computer Vision,2010,P165-176,(ACCV2010) (PDF)

  5.     Fan Yang, Huchuan Lu, Yen-wei Chen, Human Tracking by Multiple Kernel Boosting with Locality Affinity Constraints, Asian Conference on Computer Vision,2010,P39-50,(ACCV2010) ( PDF) [CODE]

  6.        Fan Yang, Huchuan Lu, Yen-Wei Chen, Robust Tracking Based on Boosted Color Soft Segmentation and ICA-R, International Conference on Image Processing,2010,P3917-3920,(ICIP2010) [ PDF] [CODE]

  7.     Dong Wang, Huchuan Lu, Yen-Wei Chen, Object Tracking By Multi-Cues Spatial Pyramid Matching, International Conference on Image Processing,2010,P3957-3960,(ICIP2010) [ PDF] [CODE]

  8.      Dong Wang, Hu-chuan Lu, Yen-wei ChenIncremental MPCA for Color Object TrackingInternational Conference on Pattern Recognition, 2010, P1751-1754,(ICPR2010) [PDF]

  9.       Fan Yang, Hu-chuan Lu, Yen-wei Chen, Bag of Features TrackingInternational Conference on Pattern Recognition, 2010, P153-156,(ICPR2010 Oral Presentation) [PDF] [PPT and Result AVI] [CODE]     

  10.      Guoliang Fang, Nan Yang, Huchuan Lu, Kaisong Li, Automatic Segmentation of Hard Exudates in Fundus Images Based on Boosted Soft Segmentation, International conference on Intelligent Control and Information Processing,2010, P633-638,(ICICIP2010). [PDF]

2010 before:

  1.  Chun-Hua Jia, Hu-Chuan Lu, Rui-Juan Zhang, Aggressive Motion Detection Based on Normalized Radon Transform and On-line AdaBoost, IEE Electronic letters,2009,Vol 45,Issue 5, P257-259 [PDF]

  2.  Huchuan Lu, Yunyun Liu, Zhipeng Sun, Yen-wei Chen, An Active Contours Method Based On Intensity and Reduced Gabor Features for Texture Segmentation, International Conference on Image Processing2009. (ICIP2009)[PDF]

  3. Rui-Juan Zhang, Hu-Chuan Lu, Chun-Hua Jia and Yen-Wei Chen, Tri-tracking method for robust object tracking, IEE Electronic letters , 2008,Vol 44, Issue 24, P1401-1402  [PDF]

  4. Huchuan LuYingjie HuangYen-wei ChenDeli YangAutomatic gender recognition based on pixel-pattern-based texture featureJournal of Real-Time Image Processing Springer 2008 Vol.3 No1-2 P109-116.[PDF]

  5. Huchuan Lu, Hao Chen, Yen-wei Chen, Multilinear Analysis based on Image Texture for Face Recognition, International Conference on Pattern Recognition, 2008(ICPR2008) [PDF]

  6.  Huchuan Lu, Chao Wang, Yen-wei Chen, Gaze Tracking By Binocular Vision and LBP Features, International Conference on Pattern Recognition, 2008(ICPR2008)[PDF]

  7. Huchuan Lu, Chunhua Jia, Ruijuan Zhang, An Effective Method for Detection and Segmentation of the Body of Human in the View of a Single Stationary Camera, International Conference on Pattern Recognition, 2008(ICPR2008)[PDF]  

  8. Huchuan LuYingjie HuangYen-wei ChenDeli YangReal-time facial expression recognition based on pixel-pattern-based texture featureElectronic letters2007Vol43Issue 17P916-918. [PDF]