教师简介
李冠彬，中山大学计算机学院副教授，博士生导师，国家优秀青年基金获得者。主要研究领域为跨模态视觉感知、理解与生成。 迄今为止累计发表CCF A类/中科院一区论文 120 余篇，Google Scholar 引用超过 1.1万次。曾获得吴文俊人工智能优秀青年奖、ACM 中国新星提名奖、中国图象图形学学会科学技术一等奖、ICCV2019 最佳论文提名奖、ICMR2021 最佳海报论文奖等荣誉。主持了包括广东省杰出青年基金、国家自然科学基金面上项目、青年项目、 CCF-腾讯犀牛鸟科研基金、美团北斗科研合作基金等 10 多项科研项目。担任CSIG青工委副秘书长、广州计算机学会副秘书长、视觉与学习青年学者研讨会（VALSE）执行领域主席委员会副主席等。担任CVPR、ECCV、AAAI等顶级会议领域主席（AC）或高级程序委员。担任The Visual Computer编委，获得8项CVPR、NeurIPS、ACM MM等国际顶级会议竞赛冠军。
研究领域
计算机视觉
----图像视频智能分析：视觉显著性、图像多标签分类、物体检测、语义解析、图像视频语句生成、基于语句的视觉目标定位、视觉问答
----底层计算机视觉：图像增强（超分辨重建、图像修复等）、图像风格化
----其它应用：医学影像分析、交通流量预测、人脸检测、表情识别、行人再识别、人群密度估计
机器学习
----深度学习：Few shot learning，Domain Adaption，Reinforcement Learning ...
----传统方法：SVM、Random Forest、Boosting、Metric Learning ...
教育背景
2005/09-2009/07：中山大学，计算机科学与技术，学士学位
2009/09-2012/07：中山大学，计算机软件与理论，硕士学位
2012/09-2016/07：香港大学，计算机科学，博士学位
工作经历
2016/07－2016/10：香港大学，高级研究员
2016/10－2019/04：中山大学数据科学与计算机学院，副研究员
2019/05－至今：中山大学数据科学与计算机学院，副教授
科研项目
1）2023国家优秀青年科学基金（主持）
2）2020广东省杰出青年基金（主持）
3）2021年华为科技有限公司委托开发项目（主持）
4）2020美团北斗科研课题合作基金（主持）
5）2020年CCF-腾讯犀牛鸟科研基金（主持）
6）2019年CCF-腾讯犀牛鸟创意基金（主持）
7）2019年国家自然科学基金-面上项目 (主持)
8）2017年国家自然科学基金-青年科学基金 (主持)
9）2017年CCF-腾讯犀牛鸟科研基金（主持）
10）2018年高校基本科研业务费项目（青年教师培育项目）（主持）
11）2018年商汤青年科研基金项目 （主持）
12）NSFC-广东省人民政府大数据科学研究中心项目 （子课题中大方负责人）
13）广东省科技发展专项资金（前沿与关键技术创新方向-重大科技专项）（参与）
14）2016年国家重点研发计划项目“面向大范围场景透彻感知的视觉大数据智能分析关键技术与验证系统” （参与）
主要学术兼职
1.CVPR2024领域主席、AAAI/IJCAI高级程序委员、 VISAPP2019 领域主席、NCIG2020竞赛主席
2.程序委员会委员：CVPR2018-2023,ICCV2019,ICCV2021, ICCV2023, IJCAI2018, IJCAI2019, AAAI 2019, AAAI2020, CVM2017 and ACCV2016.
3.审稿人
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Cybernetics (TCYB)
- ACM SIGGRAPH2017，SIGGRAPH Asia 2018
获奖及荣誉
吴文俊人工智能优秀青年奖
中国图象图形学会科学技术一等奖
ACM中国新星提名奖
ICCV2019最佳论文提名奖
ICMR2022最佳Poster论文奖
2020年英伟达AI城市挑战赛“交通异常检测赛道” 冠军
2021年ImageCLEF 医疗视觉问答挑战赛冠军
代表性论著
(*)表示通讯作
[1] Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin, "Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]
[2] 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), 2018. [CCF A]
[3] Guanbin Li and Yizhou Yu, "Contrast-Oriented Deep Neural Networks for Salient Object Detection" IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2018. [中科院一区]
[4] Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin, "Flow Guided Recurrent Neural Encoder for Video Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
[5] Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin, "Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A] [Oral Presentation]
[6] Guanbin Li, Yuan Xie, Liang Lin, "Weakly Supervised Salient Object Detection Using Image Labels" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A] [Oral Presentation]
[7] Guanbin Li, Yuan Xie, Liang Lin and Yizhou Yu, "Instance-Level Salient Object Segmentation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A] [Oral Presentation]
[8] Guanbin Li and Yizhou Yu, "Deep Contrast Learning for Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [CCF A]
[9] Guanbin Li and Yizhou Yu, "Visual Saliency Detection Based on Multiscale Deep CNN Features" IEEE Transactions on Image Processing(T-IP), 2016. [CCF A]
[10] Guanbin Li and Yizhou Yu, "Visual Saliency Based on Multiscale Deep Features" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [CCF A]
[11] Sibei Yang, Guanbin Li*, Yizhou Yu, "Relationship-Embedded Representation Learning for Grounding Referring Expressions", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), [CCF A][中科院一区]
[12] Sibei Yang, Guanbin Li*, Yizhou Yu, "Graph-Structured Referring Expression Reasoning in The Wild", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [CCF A] [Oral Presentation]
[13] 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). [中科院一区]
[14] 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. [CCF A]
[15] 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. [CCF A]
[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. [CCF A] [Oral Presentation] [最佳论文提名]
[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. [CCF A]
[18] Sibei Yang, Guanbin Li*, Yizhou Yu, “Dynamic Graph Attention for Referring Expression Comprehension”, International Conference on Computer Vision (ICCV), 2019. [CCF A] [Oral Presentation]
[19] Haofeng Li, Guanqi Chen, Guanbin Li*, Yizhou Yu, “Motion Guided Attention for Video Salient Object Detection”, International Conference on Computer Vision (ICCV), 2019. [CCF A]
[20] Sibei Yang, Guanbin Li*, Yizhou Yu, "Cross-Modal Relationship Inference for Grounding Referring Expressions" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [CCF A]
[21] Chao Chen, Guanbin Li*, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin, “CluterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [CCF A]
[22] 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), [CCF A] [中科院一区]
[23] Haofeng Li, Guanbin Li*, Liang Lin, Yizhou Yu, "Context-Aware Semantic Inpainting" IEEE Transactions on Cybernetics(T-Cybernetics), 2018. [中科院一区]
[24] Haofeng Li, Guanbin Li*, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 201 8. [中科院一区]
[25] Xian Wu, Guanbin Li*, Qingxing Cao, Qingge Ji, Liang Lin, "Interpretable Video Captioning via Trajectory Structured Localization" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
[26] Xiang He, Sibei Yang, Guanbin Li*, Haofeng Li, Huiyou Chang, Yizhou Yu, "Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks", Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A] [Oral Presentation]
[27] Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li*, Bowen Du, Liang Lin, "Attentive LSTM Crowd Flow Machines" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]
[28] Lingbo Liu, Hongjun Wang, Guanbin Li*, Wanli Ouyang, Liang Lin, "Crowd Counting using Deep Recurrent Spatial-Aware Network" International Joint Conference on Artificial Intelligence(IJCAI), 2018. [CCF A] [Oral Presentation]
[29] Tianshui Chen, Zhouxia Wang, Guanbin Li*, Liang Lin "Recurrent Attention Reinforcement Learning for Multi-label Image Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A]
[30] 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.
[31] 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.
[32] 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
[33] 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. [CCF A]
[34] 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. [CCF A]
[35] 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. [CCF A]
[36] Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu, "Self-Enhanced Convolutional Network for Facial Video Hallucination", IEEE Transactions on Image Processing (T-IP) [CCF A]
[37] Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang, "Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
[38] Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu, "Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
[39] Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin, "FRAME Revisited: An Interpretation View Based on Particle Evolution" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A]
[40] 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. [CCF A] [Oral Presentation]
[41] 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. [CCF A]
[42] 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. [CCF A]
[43] 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. [CCF A]
[44] Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin, "Visual Question Reasoning on General Dependency Tree" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A] [Oral Presentation]
[45] 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.
[46] 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.
[47] Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu and Liang Lin, "Multi-label Image Recognition by Recurrently Discovering Attentional Regions" International Conference on Computer Vision (ICCV), 2017. [CCF A]
[48] Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li, "Attention Aware Face Hallucination via Deep Reinforcement Learning" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]
[49] Wei Zhang, Chaowei Fang, Guanbin Li*, "Automatic colorization with improved spatial coherence and boundary localization" Journal of Computer Science and Technology (JCST), 2017. [CCF B]
[50] Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, "A Drawing Assistant for Generating Color Sketches from Photos" IEEE Computer Graphics and Applications (CG&A), 2016.
教师简介
李冠彬，中山大学计算机学院副教授，博士生导师，国家优秀青年基金获得者。主要研究领域为跨模态视觉感知、理解与生成。 迄今为止累计发表CCF A类/中科院一区论文 120 余篇，Google Scholar 引用超过 1.1万次。曾获得吴文俊人工智能优秀青年奖、ACM 中国新星提名奖、中国图象图形学学会科学技术一等奖、ICCV2019 最佳论文提名奖、ICMR2021 最佳海报论文奖等荣誉。主持了包括广东省杰出青年基金、国家自然科学基金面上项目、青年项目、 CCF-腾讯犀牛鸟科研基金、美团北斗科研合作基金等 10 多项科研项目。担任CSIG青工委副秘书长、广州计算机学会副秘书长、视觉与学习青年学者研讨会（VALSE）执行领域主席委员会副主席等。担任CVPR、ECCV、AAAI等顶级会议领域主席（AC）或高级程序委员。担任The Visual Computer编委，获得8项CVPR、NeurIPS、ACM MM等国际顶级会议竞赛冠军。
研究领域
计算机视觉
----图像视频智能分析：视觉显著性、图像多标签分类、物体检测、语义解析、图像视频语句生成、基于语句的视觉目标定位、视觉问答
----底层计算机视觉：图像增强（超分辨重建、图像修复等）、图像风格化
----其它应用：医学影像分析、交通流量预测、人脸检测、表情识别、行人再识别、人群密度估计
机器学习
----深度学习：Few shot learning，Domain Adaption，Reinforcement Learning ...
----传统方法：SVM、Random Forest、Boosting、Metric Learning ...
教育背景
2005/09-2009/07：中山大学，计算机科学与技术，学士学位
2009/09-2012/07：中山大学，计算机软件与理论，硕士学位
2012/09-2016/07：香港大学，计算机科学，博士学位
工作经历
2016/07－2016/10：香港大学，高级研究员
2016/10－2019/04：中山大学数据科学与计算机学院，副研究员
2019/05－至今：中山大学数据科学与计算机学院，副教授
科研项目
1）2023国家优秀青年科学基金（主持）
2）2020广东省杰出青年基金（主持）
3）2021年华为科技有限公司委托开发项目（主持）
4）2020美团北斗科研课题合作基金（主持）
5）2020年CCF-腾讯犀牛鸟科研基金（主持）
6）2019年CCF-腾讯犀牛鸟创意基金（主持）
7）2019年国家自然科学基金-面上项目 (主持)
8）2017年国家自然科学基金-青年科学基金 (主持)
9）2017年CCF-腾讯犀牛鸟科研基金（主持）
10）2018年高校基本科研业务费项目（青年教师培育项目）（主持）
11）2018年商汤青年科研基金项目 （主持）
12）NSFC-广东省人民政府大数据科学研究中心项目 （子课题中大方负责人）
13）广东省科技发展专项资金（前沿与关键技术创新方向-重大科技专项）（参与）
14）2016年国家重点研发计划项目“面向大范围场景透彻感知的视觉大数据智能分析关键技术与验证系统” （参与）
主要学术兼职
1.CVPR2024领域主席、AAAI/IJCAI高级程序委员、 VISAPP2019 领域主席、NCIG2020竞赛主席
2.程序委员会委员：CVPR2018-2023,ICCV2019,ICCV2021, ICCV2023, IJCAI2018, IJCAI2019, AAAI 2019, AAAI2020, CVM2017 and ACCV2016.
3.审稿人
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Cybernetics (TCYB)
- ACM SIGGRAPH2017，SIGGRAPH Asia 2018
获奖及荣誉
吴文俊人工智能优秀青年奖
中国图象图形学会科学技术一等奖
ACM中国新星提名奖
ICCV2019最佳论文提名奖
ICMR2022最佳Poster论文奖
2020年英伟达AI城市挑战赛“交通异常检测赛道” 冠军
2021年ImageCLEF 医疗视觉问答挑战赛冠军
代表性论著
(*)表示通讯作
[1] Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin, "Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]
[2] 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), 2018. [CCF A]
[3] Guanbin Li and Yizhou Yu, "Contrast-Oriented Deep Neural Networks for Salient Object Detection" IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2018. [中科院一区]
[4] Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin, "Flow Guided Recurrent Neural Encoder for Video Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
[5] Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin, "Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A] [Oral Presentation]
[6] Guanbin Li, Yuan Xie, Liang Lin, "Weakly Supervised Salient Object Detection Using Image Labels" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A] [Oral Presentation]
[7] Guanbin Li, Yuan Xie, Liang Lin and Yizhou Yu, "Instance-Level Salient Object Segmentation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A] [Oral Presentation]
[8] Guanbin Li and Yizhou Yu, "Deep Contrast Learning for Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [CCF A]
[9] Guanbin Li and Yizhou Yu, "Visual Saliency Detection Based on Multiscale Deep CNN Features" IEEE Transactions on Image Processing(T-IP), 2016. [CCF A]
[10] Guanbin Li and Yizhou Yu, "Visual Saliency Based on Multiscale Deep Features" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [CCF A]
[11] Sibei Yang, Guanbin Li*, Yizhou Yu, "Relationship-Embedded Representation Learning for Grounding Referring Expressions", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), [CCF A][中科院一区]
[12] Sibei Yang, Guanbin Li*, Yizhou Yu, "Graph-Structured Referring Expression Reasoning in The Wild", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [CCF A] [Oral Presentation]
[13] 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). [中科院一区]
[14] 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. [CCF A]
[15] 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. [CCF A]
[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. [CCF A] [Oral Presentation] [最佳论文提名]
[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. [CCF A]
[18] Sibei Yang, Guanbin Li*, Yizhou Yu, “Dynamic Graph Attention for Referring Expression Comprehension”, International Conference on Computer Vision (ICCV), 2019. [CCF A] [Oral Presentation]
[19] Haofeng Li, Guanqi Chen, Guanbin Li*, Yizhou Yu, “Motion Guided Attention for Video Salient Object Detection”, International Conference on Computer Vision (ICCV), 2019. [CCF A]
[20] Sibei Yang, Guanbin Li*, Yizhou Yu, "Cross-Modal Relationship Inference for Grounding Referring Expressions" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [CCF A]
[21] Chao Chen, Guanbin Li*, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin, “CluterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [CCF A]
[22] 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), [CCF A] [中科院一区]
[23] Haofeng Li, Guanbin Li*, Liang Lin, Yizhou Yu, "Context-Aware Semantic Inpainting" IEEE Transactions on Cybernetics(T-Cybernetics), 2018. [中科院一区]
[24] Haofeng Li, Guanbin Li*, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 201 8. [中科院一区]
[25] Xian Wu, Guanbin Li*, Qingxing Cao, Qingge Ji, Liang Lin, "Interpretable Video Captioning via Trajectory Structured Localization" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
[26] Xiang He, Sibei Yang, Guanbin Li*, Haofeng Li, Huiyou Chang, Yizhou Yu, "Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks", Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A] [Oral Presentation]
[27] Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li*, Bowen Du, Liang Lin, "Attentive LSTM Crowd Flow Machines" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]
[28] Lingbo Liu, Hongjun Wang, Guanbin Li*, Wanli Ouyang, Liang Lin, "Crowd Counting using Deep Recurrent Spatial-Aware Network" International Joint Conference on Artificial Intelligence(IJCAI), 2018. [CCF A] [Oral Presentation]
[29] Tianshui Chen, Zhouxia Wang, Guanbin Li*, Liang Lin "Recurrent Attention Reinforcement Learning for Multi-label Image Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A]
[30] 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.
[31] 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.
[32] 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
[33] 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. [CCF A]
[34] 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. [CCF A]
[35] 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. [CCF A]
[36] Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu, "Self-Enhanced Convolutional Network for Facial Video Hallucination", IEEE Transactions on Image Processing (T-IP) [CCF A]
[37] Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang, "Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
[38] Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu, "Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
[39] Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin, "FRAME Revisited: An Interpretation View Based on Particle Evolution" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A]
[40] 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. [CCF A] [Oral Presentation]
[41] 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. [CCF A]
[42] 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. [CCF A]
[43] 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. [CCF A]
[44] Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin, "Visual Question Reasoning on General Dependency Tree" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A] [Oral Presentation]
[45] 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.
[46] 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.
[47] Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu and Liang Lin, "Multi-label Image Recognition by Recurrently Discovering Attentional Regions" International Conference on Computer Vision (ICCV), 2017. [CCF A]
[48] Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li, "Attention Aware Face Hallucination via Deep Reinforcement Learning" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]
[49] Wei Zhang, Chaowei Fang, Guanbin Li*, "Automatic colorization with improved spatial coherence and boundary localization" Journal of Computer Science and Technology (JCST), 2017. [CCF B]
[50] Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, "A Drawing Assistant for Generating Color Sketches from Photos" IEEE Computer Graphics and Applications (CG&A), 2016.
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