Selected Journal Papers (* indicates I am the paper’s corresponding author)

  1. Haofeng Li, Yirui Zeng, Guanbin Li*, Liang Lin, and Yizhou Yu, "Online Alternate Generator against Adversarial Attacks", IEEE Transactions on Image Processing (T-IP), 2020.

  2. Yiming Gao, Zhanghui Kuang, Guanbin Li*, Ping Luo, Yimin Chen, Liang Lin, and Wayne Zhang, "Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.

  3. Lingbo Liu, Jiajie Zhen, Guanbin Li*, Geng Zhan, Zhaocheng He, Bowen Du, and Liang Lin, "Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.

  4. Sibei Yang, Guanbin Li*, Yizhou Yu, "Relationship-Embedded Representation Learning for Grounding Referring Expressions", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.

  5. Haofeng Li, Guanbin Li*, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu, "Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread", IEEE Transactions on Cybernetics (T-Cybernetics), 2020.

  6. Lili Huang, Guanbin Li*, Ya Li, Liang Lin, "Lightweight adversarial network for salient object detection", Neurocomputing, 2020.

  7. Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu, "Self-Enhanced Convolutional Network for Facial Video Hallucination", IEEE Transactions on Image Processing (T-IP), 2020.

  8. Yukai Shi, Guanbin Li*, Qingxing Cao, Keze Wang, Liang Lin, "Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.

  9. Lingbo Liu, Zhilin Qiu, Guanbin Li*, Qing Wang, Wanli Ouyang, Liang Lin"Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction" IEEE Transactions on Intelligent Transportation Systems(T-ITS), 2019.

  10. Lingbo Liu, Guanbin Li*, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin, "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", IEEE Transactions on Multimedia (T-MM), 2019.

  11. Wei Zhang, Guanbin Li*, Haoyu Ma, Yizhou Yu, "ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos", IEEE Computer Graphics and Applications (CG&A), 2019.

  12. Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin, “Cross-Modal Attentional Context Learning for RGB-D Object Detection”, IEEE Transactions on Image Processing (T-IP), 28(4): 1591-1601, 2019.

  13. Haofeng Li, Guanbin Li*, Liang Lin, Hongchuan Yu, Yizhou Yu, "Context-Aware Semantic Inpainting", IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2018.2865036, 2019.

  14. Haofeng Li, Guanbin Li*, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 2018.

  15. Guanbin Li, Yizhou Yu, "Contrast-Oriented Deep Neural Networks for Salient Object Detection", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2018.

  16. Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin, "Learning deep representations for semantic image parsing: a comprehensive overview", Frontiers of Computer Science, 2018.

  17. Wei Zhang, Chaowei Fang, Guanbin Li*, "Automatic colorization with improved spatial coherence and boundary localization", Journal of Computer Science and Technology (JCST), 2017.

  18. Guanbin Li, Yizhou Yu, "Visual Saliency Detection Based on Multiscale Deep CNN Features", IEEE Transactions on Image Processing (T-IP), 2016.

  19. Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, Yizhou Yu, "A Drawing Assistant for Generating Color Sketches from Photos", IEEE Computer Graphics and Applications (CG&A), 2016.

Selected Conference Papers (* indicates I am the paper’s corresponding author)

  1. Jie Wu, Guanbin Li*, Xiaoguang Han, and Liang Lin, "Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos", Proc. ACM International Conference on Multimedia (ACM MM), 2020.

  2. Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian and Liang Lin, "Active Object Search", Proc. ACM International Conference on Multimedia (ACM MM), 2020.

  3. Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li and Liang Lin, "Efficient Crowd Counting via Structured Knowledge Transfer", Proc. ACM International Conference on Multimedia (ACM MM), 2020.

  4. Ganlong Zhao, Guanbin Li*, Ruijia Xu, Liang Lin, "Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection", European Conference on Computer Vision (ECCV), 2020.

  5. Sibei Yang, Guanbin Li, Yizhou Yu, "Propagating Over Phrase Relations for One-Stage Visual Grounding", European Conference on Computer Vision (ECCV), 2020.

  6. Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Fa Xi Zhang, Jizhong Han, "Linguistic Structure Guided Context Modeling for Referring Image Segmentation", European Conference on Computer Vision (ECCV), 2020.

  7. Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui, "Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation", European Conference on Computer Vision (ECCV), 2020.

  8. Ruifei Zhang, Guanbin Li*, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu, "Adaptive Context Selection for Polyp Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020.

  9. Sibei Yang, Guanbin Li*, Yizhou Yu, "Graph-Structured Referring Expression Reasoning in The Wild", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.(Oral Presentation)

  10. Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li, "A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  11. Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li, "Referring Image Segmentation via Cross-Modal Progressive Comprehension", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  12. Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li, Shuguang Cui, "MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm", European Conference on Artificial Intelligence (ECAI), 2020.

  13. Jie Wu, Guanbin Li*, Si Liu, Liang Lin, "Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video", Association for the Advancement of Artificial Intelligence (AAAI), 2020.

  14. Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li*, Liang Lin, "An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation", Association for the Advancement of Artificial Intelligence (AAAI), 2020.

  15. Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin, "Knowledge Graph Transfer Network for Few-Shot Recognition", Association for the Advancement of Artificial Intelligence (AAAI), 2020.

  16. Ruijia Xu, Guanbin Li*, Jihan Yang and Liang Lin, "Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation", International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)

  17. Pengxiang Yan, Guanbin Li*, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen and Liang Lin, “Semi-Supervised Video Salient Object Detection Using Pseudo-Labels”, International Conference on Computer Vision (ICCV), 2019.

  18. Sibei Yang, Guanbin Li* and Yizhou Yu, “Dynamic Graph Attention for Referring Expression Comprehension”, International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)

  19. Haofeng Li, Guanqi Chen, Guanbin Li* and Yizhou Yu, “Motion Guided Attention for Video Salient Object Detection”, International Conference on Computer Vision (ICCV), 2019.

  20. Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin and Wayne Zhang, “Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid”, International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)

  21. Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang and Liang Lin, “Crowd Counting with Deep Structured Scale Integration Network”, International Conference on Computer Vision (ICCV), 2019.

  22. Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu and Jue Wang, “Semi-supervised Skin Detection by Network with Mutual Guidance”, International Conference on Computer Vision (ICCV), 2019.

  23. Sibei Yang, Guanbin Li*, Yizhou Yu, "Cross-Modal Relationship Inference for Grounding Referring Expressions", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  24. Chao Chen, Guanbin Li*, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin, "ClusterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Recognition", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  25. Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin, “Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching”, International Conference on Machine Learning (ICML), 2019.

  26. Lili Huang, Guanbin Li, Ya Li, Liang Lin, “Lightweight Contrast Modeling for Attention-Aware Visual Localization”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2019.

  27. Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin, “Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral Presentation)

  28. Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin, “FRAME Revisited: An Interpretation View Based on Particle Evolution”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral Presentation)

  29. Xiang He, Sibei Yang, Guanbin Li*, Haofeng Li, Huiyou Chang, Yizhou Yu, "Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks", Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral Presentation)

  30. Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin, "Crowd counting via multi-view scale aggregation networks", Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2019.

  31. Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin, "Taxi origin-destination demand prediction with contextualized spatial-temporal network", Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2019.

  32. Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin, “Non-locally enhanced encoder-decoder network for single image de-raining”, Proc. ACM International Conference on Multimedia (ACM MM), 2018.

  33. Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li*, Bowen Du, Liang Lin, “Attentive Crowd Flow Machines”, Proc. ACM International Conference on Multimedia (ACM MM), 2018.

  34. Lingbo Liu, Hongjun Wang, Guanbin Li*, Wanli Ouyang, Liang Lin, “Crowd Counting using Deep Recurrent Spatial-Aware Network”, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018.

  35. Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin*, “Flow Guided Recurrent Neural Encoder for Video Salient Object Detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  36. Xian Wu, Guanbin Li*, Qingxing Cao, Qingge Ji, Liang Lin, “Interpretable Video Captioning via Trajectory Structured Localization”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  37. Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin, “Visual Question Reasoning on General Dependency Tree”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  38. Guanbin Li, Yuan Xie, Liang Lin, “Weakly Supervised Salient Object Detection Using Image Labels”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral Presentation)

  39. Tianshui Chen, Zhouxia Wang, Guanbin Li*, Liang Lin, “Attentional Reinforcement Learning for Multi-label Image Recognition”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018.

  40. Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Liang Lin, "Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning." Fourth IEEE International Conference on Multimedia Big Data (BigMM). 2018.

  41. Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin*, “Multi-label Image Recognition by Recurrently Discovering Attentional Regions”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2017.

  42. Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li, “Attention-aware face hallucination via deep reinforcement learning ”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  43. Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu, “Instance-Level Salient Object Segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  44. Guanbin Li, Yizhou Yu, "Deep Contrast Learning for Salient Object Detection", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

  45. Guanbin Li, Yizhou Yu, "Visual Saliency Based on Multiscale Deep Features", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.