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

1. Wei Zhang, Jiaming Li, Meng Xia, Xu Gao, Xiao Tan, Yifeng Shi, Zhenhua Huang, Guanbin Li*, "OffsetNet: Towards Efficient Multiple Object Tracking, Detection, and Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.[PDF]
   
   
2. Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Si-Qi Liu, Zhen Li, Guanbin Li*, Xiang Wan, "Highlighted Diffusion Model as Plug-in Priors for Polyp Segmentation", IEEE Journal of Biomedical and Health Informatics (J-BHI), 2024.[PDF]
   
   
3. Guanbin Li, Ricong Huang, Haofeng Li, Zunzhi You, Weikai Chen, "SENSE: Self-Evolving learNing for SElf-Supervised Monocular Depth Estimation", IEEE Transactions on Image Processing (T-IP), 2024.
   
   
4. Guanbin Li, Chaowei Fang, Zhuohua Chen, Mingzhi Mao, Liang Lin, "Uncertainty-aware Active Domain Adaptive Salient Object Detection", IEEE Transactions on Image Processing (T-IP), 2024.
   
   
5. Zizheng Yan, Delian Ruan, Yushuang Wu, Junshi Huang, Zhenhua Chai, Xiaoguang Han, Shuguang Cui, Guanbin Li*, "Contrastive Open-set Active Learning based Sample Selection for Image Classification ", IEEE Transactions on Image Processing (T-IP), 2024.
   
   
6. Wenhao Huang, Haifan Gong, Huan Zhang, Yu Wang, Xiang Wan, Guanbin Li*, Haofeng Li*, Hong Shen, "BCNet: Bronchus Classification via Structure Guided Representation Learning", IEEE Transactions on Medical Imaging (T-MI), 2024.
   
   
7. Ganlong Zhao, Guanbin Li*, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu, Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning, International Journal of Computer Vision (IJCV), 2024.
   
   
8. Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, Haofeng Li, "Structure Embedded Nucleus Classification for Histopathology Images", IEEE Transactions on Medical Imaging (T-MI), 2024.
   
   
9. Lingbo Liu, Mengmeng Liu, Guanbin Li*, Ziyi Wu, Junfan Lin, Liang Lin, "Road Network-Guided Fine-Grained Urban Traffic Flow Inference", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2023.
   
   
10. Jichang Li, Guanbin Li*, Yizhou Yu, "Inter-Domain Mixup for Semi-Supervised Domain Adaptation", Pattern Recognition (PR), 2023.
    
    
11. Ruifei Zhang, Feng Zhang, Si Qin, Dejun Fan, Chaowei Fang, Jie Ma, Xiang Wan, Guanbin Li*, Xutao Lin, "Multi-task learning with hierarchical guidance for locating and stratifying submucosal tumors", IEEE Journal of Biomedical and Health Informatics(J-BHI), 2023.
    
    
12. Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li*, Xiang Wan, Tsung-Hui Chang, "Mapping medical image-text to a joint space via masked modeling", Medical Image Analysis(MIA), 2023.
    
    
13. Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Xiaoguang Han, Shuguang Cui, "PointMatch: a consistency training framework for weakly supervised semantic segmentation of 3D point clouds", Computers & Graphics, 2023.
    
    
14. Jichang Li, Guanbin Li*, Yizhou Yu, "Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation", IEEE Transactions on Image Processing (T-IP), 2023.
    
    
15. Yang Liu, Guanbin Li, Liang Lin, "Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.[PDF]
    
    
16. Kuo Wang, Lingbo Liu, Yang Liu✉, Guanbin Li, Liang Lin, "Urban Regional Function Guided Traffic Flow Prediction", Information Sciences (INS), 2023.[PDF]
    
    
17. Chaowei Fang, Lechao Cheng, Huiyan Qi, Dingwen Zhang, Guanbin Li, Licheng Jiao, "Separating Noisy Samples from Tail Classes for Long-Tailed Image Classification with Label Noise", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2023.
    
    
18. Pengxu Wei, Ziwei Xie, Guanbin Li, and Liang Lin, "Taylor Neural Network for Real-World Image Super-Resolution",IEEE Transactions on Image Processing (T-IP), 2023.[PDF]
    
    
19. Tianrui Hui, Si Liu, Zihan Ding, Shaofei Huang, Guanbin Li, Wenguan Wang, Luoqi Liu, Jizhong Han, "Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.[PDF]
    
    
20. Haifan Gong, Guanqi Chen, Mingzhi Mao, Zhen Li, Guanbin Li*, "VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering", IEEE Transactions on Medical Imaging (T-MI), 2022.[PDF]
    
    
21. Haifan Gong, Jiaxin Chen, Guanqi Chen, Haofeng Li, Guanbin Li*, Fei Chen, "Thyroid Region Prior Guided Attention for Ultrasound Segmentation of Thyroid Nodules", Computers in Biology and Medicine (CBM), 2022.[PDF]
    
    
22. Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin, "Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022.[PDF]
    
    
23. Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao, Liang Lin, "Hybrid-Order Representation Learning for Electricity Theft Detection", IEEE Transactions on Industrial Informatics (T-II), 2022.
    
    
24. Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin, "Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2022..[PDF]
    
    
25. Hongjun Wang, Guanbin Li*, Xiaobai Liu, Liang Lin, "A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.[PDF]
    
    
26. Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li*, "Cross-Modal Progressive Comprehension for Referring Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.[PDF]
    
    
27. Gangming Zhao, Chaowei Fang, Guanbin Li, Zhen Zhou, Jinpeng Lia, Licheng Jiao, Yizhou Yu, "Contralaterally Enhanced Networks for Thoracic Disease Detection", IEEE Transactions on Medical Imaging (T-MI), 2021.[PDF]
    
    
28. Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin, "Deep CockTail Networks", International Journal of Computer Vision (IJCV), 2021.[PDF]
    
    
29. Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu, "Human-centric spatio-temporal video grounding with visual transformers", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.[PDF]
    
    
30. Yang Liu, Keze Wang, Guanbin Li, Liang Lin, "Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition",IEEE Transactions on Image Processing (T-IP), 2021.[PDF]
    
    
31. Yiming Gao, Zhanghui Kuang, Guanbin Li*, Wayne Zhang and Liang Lin, "Hierarchical Reasoning Network for Human-Object Interaction Detection", IEEE Transactions on Image Processing (T-IP), 2021.[PDF]
    
    
32. Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li*, "Structured Attention Network for Referring Image Segmentation", IEEE Transactions on Multimedia (T-MM), 2021.[PDF]
    
    
33. Guanbin Li*, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu, "Instance-Level Salient Object Segmentation", Computer Vision and Image Understanding (CVIU), 2021.[PDF]
    
    
34. 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.
    
    
35. Yiming Gao, Zhanghui Kuang, Guanbin Li*, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang, "Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.
    
    
36. Lingbo Liu, Jiajie Zhen, Guanbin Li*, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin, "Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
    
    
37. Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin, "Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
    
    
38. 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.
    
    
39. 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.
    
    
40. Lili Huang, Guanbin Li*, Ya Li, Liang Lin, "Lightweight adversarial network for salient object detection", Neurocomputing, 2020.
    
    
41. Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu, "Self-Enhanced Convolutional Network for Facial Video Hallucination", IEEE Transactions on Image Processing (T-IP), 2020.
    
    
42. 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.
    
    
43. 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.
    
    
44. 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.
    
    
45. Wei Zhang, Guanbin Li*, Haoyu Ma, Yizhou Yu, "Automatic Color Sketch Generation using Deep Style Transfer", IEEE Computer Graphics and Applications (CG&A), 2019.
    
    
46. 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.
    
    
47. 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.
    
    
48. Haofeng Li, Guanbin Li*, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 2018.
    
    
49. Guanbin Li, Yizhou Yu, "Contrast-Oriented Deep Neural Networks for Salient Object Detection", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2018.
    
    
50. 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.
    
    
51. Wei Zhang, Chaowei Fang, Guanbin Li*, "Automatic colorization with improved spatial coherence and boundary localization", Journal of Computer Science and Technology (JCST), 2017.
    
    
52. Guanbin Li, Yizhou Yu, "Visual Saliency Detection Based on Multiscale Deep CNN Features", IEEE Transactions on Image Processing (T-IP), 2016.
    
    
53. 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.
    
    
54. 李冠彬，张锐斐，刘梦梦，刘劲，林倞，”基于语言结构解析的可解释视频语义描述生成方法研究“, 软件学报, 2022. [PDF]
    
    
55. 李冠彬，张锐斐，陈超，林倞，”基于旋转不变深度层次聚类网络的点云分析“, 软件学报, 2022. [PDF]
    
    
56. 李冠彬，张锐斐，朱鑫，林倞，“语义关系引导的面部动作单元分析”, 软件学报, 2022.[PDF]
    
    

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

1. Junlin Xie, Ruifei Zhang, Zhihong Chen, Xiang Wan, Guanbin Li*, "WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games", NeurIPS 2024 Track Datasets and Benchmarks (NeurIPS), 2024.[PDF]
   
   
2. Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li*, "UniFL: Improve Stable Diffusion via Unified Feedback Learning", Neural Information Processing Systems (NeurIPS), 2024.
   
   
3. Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li*, Philip Torr, Liang Lin, "WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models", European Conference on Computer Vision (ECCV), 2024.[PDF]
   
   
4. Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li*, "MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection", European Conference on Computer Vision (ECCV), 2024.[PDF]
   
   
5. Ruifei Zhang, Xiangru Lin, Wei Zhang, Jincheng Lu, Xuekuan Wang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Guanbin Li*, Interactive 3D Object Detection with Prompts, European Conference on Computer Vision (ECCV), 2024.[PDF]
   
   
6. Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li, "Multi-modal Denoising Diffusion Pretraining for Whole-Slide Image Classification", ACM International Conference on Multimedia (ACM MM),2024.[PDF]
   
   
7. Jiacheng Zhang, Jie Wu, Huafeng Kuang, Haiming Zhang, Yuxi Ren, Weifeng Chen, Manlin Zhang, Xuefeng Xiao, Rui Wang, Shilei Wen, Guanbin Li*, "TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning", ACM International Conference on Multimedia (ACM MM),2024.[PDF]
   
   
8. Hairong Shi, Songhao Han, Shaofei Huang, Yue Liao, Guanbin Li*, Xiangxing Kong, Hua Zhu, Xiaomu Wang, Si Liu, "Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024.[PDF]
   
   
9. Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei, "VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation", International Conference on Learning Representations (ICLR), 2024.[PDF]
   
   
10. Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li*, Liang Lin, Ying Shan, "TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts", ACM Transaction on Graphics (TOG), Proceedings of ACM SIGGRAPH 2024 (SIGGRAPH), 2024.[PDF]
    
    
11. Jiahao Chen, Yipeng Qin, Lingjie Liu, Jiangbo Lu, Guanbin Li*, "NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2024.[PDF]
    
    
12. Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, ZEQUN JIE, Lin Ma, Guanbin Li*, "AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
13. Jiacheng Zhang, Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li*, "Decoupled Pseudo-labeling in Semi-Supervised Monocular 3D Object Detection", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
14. Ganlong Zhao, Guanbin Li*, Weikai Chen, Yizhou Yu, "OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
15. Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li*, "Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
16. Runze He, Shaofei Huang, Xuecheng Nie, Tianrui Hui, Luoqi Liu, Jiao Dai, Jizhong Han, Guanbin Li*, Si Liu*, "Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
17. Yong Liu, Sule Bai, Guanbin Li, Yitong Wang, Yansong Tang, "Open-Vocabulary Segmentation with Semantic-Assisted Calibration", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.[PDF]
    
    
18. Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li*, "UniCell: Universal Cell Nucleus Classification via Prompt Learning", AAAI Conference on Artificial Intelligenc (AAAI), 2024.
    
    
19. Jichang Li, Guanbin Li*, Hui Cheng, Zicheng Liao, Yizhou Yu, "FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels", AAAI Conference on Artificial Intelligenc (AAAI), 2024.
    
    
20. Chaowei Fang, Ziyin zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li*, Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation, AAAI Conference on Artificial Intelligenc (AAAI), 2024.
    
    
21. Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li, "Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal", AAAI Conference on Artificial Intelligenc (AAAI), 2024.
    
    
22. Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li, "Cell Graph Transformer for Nuclei Classification", AAAI Conference on Artificial Intelligenc (AAAI), 2024.
    
    
23. Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, Guanbin Li*, “DreamEditor: Text-Driven 3D Scene Editing with Neural Fields”, SIGGRAPH Asia (SA), 2023.[PDF]
    
    
24. Zunnan Xu, Zhihong Chen, Yong Zhang, Yibing Song, Xiang Wan, Guanbin Li*, “Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
25. Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Cheng, Liang Lin, Guanbin Li*, "RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
26. Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li*, “Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
27. Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li*, “Enhanced Soft Label for Semi-Supervised Semantic Segmentation”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
28. Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li, Junyu Han, Errui Ding, Jingdong Wang,  Guanbin Li*, “Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
29. Zhihong Chen, Shizhe Diao, benyou wang, Guanbin Li, Xiang Wan, “Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
30. Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin, “SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
31. Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin, “Towards Real-World Burst Image Super-Resolution: Benchmark and Method”, International Conference on Computer Vision (ICCV), 2023.[PDF]
    
    
32. Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin, "Visual Causal Scene Refinement for Video Question Answering", ACM International Conference on Multimedia (ACM MM),2023.[PDF]
    
    
33. Ricong Huang, Peiwen Lai, Yipeng Qin, Guanbin Li*, "Parametric Implicit Face Representation for Audio-Driven Facial Reenactment", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
34. Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li*, "Identity-Preserving Talking Face Generation with Landmark and Appearance Priors", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
35. Jiacheng Zhang, Xiangru Lin, Kuo Wang, Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li*, "Semi-DETR: Semi-Supervised Object Detection with Detection Transformers", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
36. Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li*, "Divide and Adapt: Active Domain Adaptation via Customized Learning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Highlight paper), 2023.[PDF]
    
    
37. Ganlong Zhao, Guanbin Li*, Yipeng Qin, Yizhou Yu, "Improved Distribution Matching for Dataset Condensation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
38. Zhihong Chen, Ruifei Zhang, Yibing Song, Xiang Wan, and Guanbin Li*, "Advancing Visual Grounding with Scene Knowledge: Benchmark and Method", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
39. Junfan Lin，Jianlong Chang，Lingbo Liu，Guanbin Li， Liang Lin，Qi Tian，Chang-wen Chen, "Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Highlight paper), 2023.[PDF]
    
    
40. Yushuang Wu, Zizheng Yan, Ce Chen, Lai Wei, Xiao Li, Guanbin Li, Yihao Li, Shuguang Cui, Xiaoguang Han, "SCoDA: Domain Adaptive Shape Completion for Real Scans", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[PDF]
    
    
41. Junjia Huang, Haofeng Li, Weijun Sun, Xiang Wan, Guanbin Li*, "Prompt-based Grouping Transformer for Nucleus Detection and Classification", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
42. Xuanye Zhang, Kaige Yin, Siqi Liu, Zhijie Feng, Xiaoguang Han, Guanbin Li*, Xiang Wan, "Self- and Semi-Supervised Learning for Gastroscopic Lesion Detection", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
43. Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li*, Xiang Wan, "ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
44. Xinyi Yu, Guanbin Li, Wei Lou, Siqi Liu, Xiang Wan, Yan Chen, Haofeng Li, "Diffusion-based Data Augmentation for Nuclei Image Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
45. Yuncheng Jiang, Zixun Zhang, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li, "YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
46. Yicheng Jiang, Luyue Shi, Wei Qi, Lei Chen, Guanbin Li, Xiaoguang Han, Xiang Wan, Siqi Liu, "Automatic Bleeding Risk Rating System of Gastric Varices", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.[PDF]
    
    
47. Kuo Wang, Jingyu Zhuang, Guanbin Li*, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou, "De-biased Teacher: Rethinking IoU Matching for Semi-Supervised Object Detection", Thirty-Seventh AAAI Conference on Artificial Intelligenc (AAAI), 2023.
    
    
48. Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li*, "Adapting Object Size Variance and Class Imbalance for Semi-Supervised Object Detection", Thirty-Seventh AAAI Conference on Artificial Intelligenc (AAAI), 2023.
    
    
49. Xinyu Xiong, Siying Li, Guanbin Li, "Unpaired Image-to-Image Translation based Domain Adaptation for Polyp Segmentation ", International Symposium on Biomedical Imaging (ISBI), 2023.[PDF]
    
    
50. Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li*, "Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning", Neural Information Processing Systems (NeurIPS), 2022.
    
    
51. Ganlong Zhao, Guanbin Li*, Yipeng Qin, Feng Liu, Yizhou Yu, "Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels", European Conference on Computer Vision (ECCV), 2022.[PDF]
    
    
52. Jichang Li, Guanbin Li*, Feng Liu, Yizhou Yu, "Neighborhood Collective Estimation for Noisy Label Identification and Correction", European Conference on Computer Vision (ECCV), 2022.[PDF]
    
    
53. Zhihong Chen, Guanbin Li*, Xiang Wan, "Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge", ACM International Conference on Multimedia (ACM MM),2022.[PDF]
    
    
54. Lechao Cheng, Chaowei Fang, Dingwen Zhang, Guanbin Li, Gang Huang, "Compound Batch Normalization for Long-tailed Image Classification", ACM International Conference on Multimedia (ACM MM), 2022.[PDF]
    
    
55. Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li*, "Double-Check Soft Teacher for Semi-Supervised Object Detection", The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.[PDF]
    
    
56. Zizheng Yan, Yushuang Wu, Guanbin Li*, Yipeng Qin, Xiaoguang Han, Shuguang Cui, "Multi-level Consistency Learning for Semi-supervised Domain Adaptation", The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. [PDF]
    
    
57. Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li*, "Lesion-aware Dynamic Kernel for Polyp Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.[PDF]
    
    
58. Zhihong Chen, Yuhao Du, Yang Liu, Guanbin Li*, Xiang Wan, Tsung-Hui Chang, "Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. [PDF]
    
    
59. Junjia Huang, Haofeng Li, Guanbin Li*, Xiang Wan, "Attentive Symmetric Autoencoder for Brain MRI Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. [PDF]
    
    
60. Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li*, "Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. [PDF]
    
    
61. Xinkai Zhao, Zhenhua Wu, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan, Guanbin Li*, "Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. [PDF]
    
    
62. Jun Wei, Yiwen Hu, Guanbin Li, Zhen Li, Shuguang Cui, S. Kevin Zhou, "BoxPolyp: Boost Generalized Polyp Segmentation using Extra Coarse Bounding Box Annotations", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.[PDF]
    
    
63. Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li, "Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2022. [PDF]
    
    
64. Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Zhen Li, Shuguang Cui, "X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.[PDF]
    
    
65. Haofeng Li, Junjia Huang, Guanbin Li*, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, "View-Disentangled Transformer for Brain Lesion Detection", International Symposium on Biomedical Imaging (ISBI), 2022.[PDF]
    
    
66. Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li*, "Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation", International Symposium on Biomedical Imaging (ISBI), 2022.[PDF]
    
    
67. Guanqi Chen, Guanbin Li*, "Semantic-aware Temporal Channel-wise Attention for Cardiac Function Assessment", International Symposium on Biomedical Imaging (ISBI), Oral, 2022.[PDF]
    
    
68. Xiang Xie, Pengxiang Yan, Fang-Ying Chen, Feng Gao, Qingyun Mai, Guanbin Li*, "Early Prediction of Blastocyst Development via Time-Lapse Video Analysis", International Symposium on Biomedical Imaging (ISBI), Oral, 2022.[PDF]
    
    
69. Yifan Xie, Yinjia Huang, Ricong Huang, Zhengtao Wu, Mingzhi Mao, Guanbin Li*, "HairGAN: Spatial-Aware Palette GAN for Hair Color Transfer", Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022.
    
    
70. Zhengtao Wu, Lingbo Liu, Yang Zhang, Mingzhi Mao, Liang Lin, Guanbin Li*, "Multimodal Crowd Counting with Mutual Attention Transformers", Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022.
    
    
71. Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin, "Discovering Implicit Classes Achieves Open Set Domain Adaptation", Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022.
    
    
72. Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li*, "Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022. [PDF]
    
    
73. Xiangru Lin, Yuyang Chen, Guanbin Li*, Yizhou Yu, "A Causal Inference Look At Unsupervised Video Anomaly Detection", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.
    
    
74. Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li*, Yizhou Yu, "A Causal Debiasing Framework for Unsupervised Salient Object Detection ", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.
    
    
75. Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li*, "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning ", International Conference on Computer Vision (ICCV), 2021.[PDF]
    
    
76. Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li*, "Towards Interpretable Deep Networks for Monocular Depth Estimation", International Conference on Computer Vision (ICCV), 2021.[PDF]
    
    
77. Yushuang Wu, Zizheng Yan, Xiaoguang Han, Guanbin Li, Changqing Zou, Shuguang Cui, "LapsCore: Language-guided Person Search via Color Reasoning", International Conference on Computer Vision (ICCV), 2021.[PDF]
    
    
78. Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin, "Robust Real-World Image Super-Resolution against Adversarial Attacks", ACM International Conference on Multimedia (ACM MM), 2021.[PDF]
    
    
79. Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li*, "Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.[PDF]
    
    
80. Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui, "Colorectal Polyp Classification from White-Light Colonoscopy Images via Domain Alignment", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.[PDF]
    
    
81. Xinkai Zhao, Chaowei Fang, Feng Gao, FAN De-Jun, Xutao Lin, Guanbin Li, "Deep Transformers For Fast Small Intestine Grounding In Capsule Endoscope Video", International Symposium on Biomedical Imaging (ISBI), 2021.[PDF]
    
    
82. Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li, "Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior", International Symposium on Biomedical Imaging (ISBI), 2021.[PDF]
    
    
83. Jie Wu, Wei Zhang, Guanbin Li*, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin, "Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video", Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2021.[PDF]
    
    
84. Xiangru Lin, Guanbin Li*, Yizhou Yu, "Scene-Intuitive Agent for Remote Embodied Visual Grounding", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[PDF]
    
    
85. Jichang Li, Guanbin Li*, Yemin Shi, Yizhou Yu, "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[PDF]
    
    
86. Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin, "Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[PDF]
    
    
87. Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang, "Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[PDF]
    
    
88. Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu, "Bottom-Up Shift and Reasoning for Referring Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[PDF]
    
    
89. Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu, "Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing", Association for the Advancement of Artificial Intelligence (AAAI), 2021.[PDF]
    
    
90. Jie Wu, Guanbin Li*, Xiaoguang Han, Liang Lin, "Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos", Proc. ACM International Conference on Multimedia (ACM MM), 2020.
    
    
91. Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin, "Active Object Search", Proc. ACM International Conference on Multimedia (ACM MM), 2020.[PDF]
    
    
92. Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin, "Efficient Crowd Counting via Structured Knowledge Transfer", Proc. ACM International Conference on Multimedia (ACM MM), 2020.[PDF]
    
    
93. 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.[PDF]
    
    
94. Sibei Yang, Guanbin Li, Yizhou Yu, "Propagating Over Phrase Relations for One-Stage Visual Grounding", European Conference on Computer Vision (ECCV), 2020.[PDF]
    
    
95. 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.[PDF]
    
    
96. 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.[PDF]
    
    
97. 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.[PDF]
    
    
98. 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)[PDF]
    
    
99. 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.[PDF]
    
    
100. 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.[PDF]
     
     
101. 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.
     
     
102. 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.[PDF]
     
     
103. 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.[PDF]
     
     
104. 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.[PDF]
     
     
105. Ruijia Xu, Guanbin Li*, Jihan Yang, Liang Lin, "Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation", International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)
     
     
106. Pengxiang Yan, Guanbin Li*, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin, “Semi-Supervised Video Salient Object Detection Using Pseudo-Labels”, International Conference on Computer Vision (ICCV), 2019.
     
     
107. Sibei Yang, Guanbin Li*, Yizhou Yu, “Dynamic Graph Attention for Referring Expression Comprehension”, International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)
     
     
108. Haofeng Li, Guanqi Chen, Guanbin Li*, Yizhou Yu, “Motion Guided Attention for Video Salient Object Detection”, International Conference on Computer Vision (ICCV), 2019.
     
     
109. Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang, “Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid”, International Conference on Computer Vision (ICCV), 2019.(Oral Presentation)
     
     
110. Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin, “Crowd Counting with Deep Structured Scale Integration Network”, International Conference on Computer Vision (ICCV), 2019.
     
     
111. Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang, “Semi-supervised Skin Detection by Network with Mutual Guidance”, International Conference on Computer Vision (ICCV), 2019.
     
     
112. 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.
     
     
113. 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.
     
     
114. 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.
     
     
115. 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.
     
     
116. 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)[PDF]
     
     
117. 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)[PDF]
     
     
118. 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)[PDF]
     
     
119. 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.[PDF]
     
     
120. Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, and Huiying Liang, "Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2019.[PDF]
     
     
121. Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu, "Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation", Medical Image Computing and Computer Assisted Interventions (MICCAI), 2019.[PDF]
     
     
122. 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.[PDF]
     
     
123. 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.
     
     
124. 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.[PDF]
     
     
125. 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.
     
     
126. 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.[PDF]
     
     
127. 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.[PDF]
     
     
128. 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.[PDF]
     
     
129. 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)[PDF]
     
     
130. 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.[PDF]
     
     
131. 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.
     
     
132. 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.
     
     
133. 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.
     
     
134. 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.
     
     
135. Guanbin Li, Yizhou Yu, "Deep Contrast Learning for Salient Object Detection", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
     
     
136. Guanbin Li, Yizhou Yu, "Visual Saliency Based on Multiscale Deep Features", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.