李冠彬

李冠彬，男，博士，中山大學數據科學與計算機學院副教授。已經累計發表論文40餘篇，其中以第一/通訊作者身份發表CCF A類/中科院一區論文25篇。目前擔任CCF YOSCEF廣州常務委員，CCF計算機視覺專委會委員，CSIG視覺大數據專委會委員。目前主持國家自然科學基金、國家自然科學聯合基金、CCF-騰訊犀牛鳥科研基金、CCF-騰訊犀牛鳥創意基金、商湯青年科研基金、中山大學青年教師培育等多項科研項目。擔任TPAMI、TIP、TNNLS、TMM、TCYB、TOG等權威期刊的審稿人，CVPR、ICCV、IJCAI、AAAI等國際會議程式委員會委員，VISAPP2019領域主席。

基本介紹

  • 中文名：李冠彬
  • 職業：教師
  • 畢業院校：香港大學
  • 學位/學歷：博士
  • 職稱：副教授
研究領域,人物經歷,教育經歷,工作經歷,海外經歷,科研項目,學術兼職,代表性論著,

研究領域

  • 計算機視覺
  • 圖像視頻智慧型分析：視覺顯著性、圖像多標籤分類、物體檢測、語義解析、圖像視頻語句生成、基於語句的視覺目標定位、視覺問答
  • 底層計算機視覺：圖像增強（超分辨重建、圖像修復等）、圖像風格化
  • 其它套用：醫學影像、交通流量預測、人臉檢測、表情識別、行人再識別、人群密度估計
機器學習
  • 深度學習：Few shot learning，Domain Adaption，Reinforcement Learning ...
  • 傳統方法：SVM、Random Forest、Boosting、Metric Learning ...

人物經歷

教育經歷

2005/09-2009/07：中山大學，計算機科學與技術，學士學位
2009/09-2012/07：中山大學，計算機軟體與理論，碩士學位
2012/09-2016/07：香港大學，計算機科學，博士學位

工作經歷

2016/07－2016/10：香港大學，高級研究員
2016/10－2019/04：中山大學數據科學與計算機學院，副研究員
2019/05－至今：中山大學數據科學與計算機學院，副教授

海外經歷

2012/09-2016/07：香港大學，計算機科學，博士學位

科研項目

1）2019年CCF-騰訊犀牛鳥創意基金（主持）
2）2017年國家自然科學基金-青年科學基金 (主持)
3）2017年CCF-騰訊犀牛鳥科研基金（主持）
4）2018年高校基本科研業務費項目（青年教師培育項目）（主持）
5）2018年商湯青年科研基金項目 （主持）
6）NSFC-廣東省人民政府大數據科學研究中心項目 （子課題中大方負責人）
7）廣東省科技發展專項資金（前沿與關鍵技術創新方向-重大科技專項）（參與）
8）2016年國家重點研發計畫項目“面向大範圍場景透徹感知的視覺大數據智慧型分析關鍵技術與驗證系統” （參與）

學術兼職

1. VISAPP2019 領域主席
2.程式委員會委員：CVPR2018, CVPR2019, ICCV2019, IJCAI2018, IJCAI2019, AAAI 2019, AAAI2020, CVM2017 and ACCV2016.
3.審稿人
  • 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

代表性論著

(*)表示通訊作者
  1. [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. [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. [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. [中科院一區]
  4. [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. [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]
  6. [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]
  7. [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]
  8. [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. [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. [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. [11] 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]
  12. [12] 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]
  13. [13] Sibei Yang, Guanbin Li*, Yizhou Yu, “Dynamic Graph Attention for Referring Expression Comprehension”, International Conference on Computer Vision (ICCV), 2019. [CCF A]
  14. [14] 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]
  15. [15] 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]
  16. [16] 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]
  17. [17] 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] [中科院一區]
  18. [18] 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]
  19. [19] Haofeng Li, Guanbin Li*, Liang Lin, Yizhou Yu, "Context-Aware Semantic Inpainting" IEEE Transactions on Cybernetics(T-Cybernetics), 2018. [中科院一區]
  20. [20] Haofeng Li, Guanbin Li*, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 2018. [中科院一區]
  21. [21] 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]
  22. [22] 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]
  23. [23] 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]
  24. [24] 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]
  25. [25] 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]
  26. [26] 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.
  27. [27] 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.
  28. [28] 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.
  29. [29] 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]
  30. [30] 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]
  31. [31] 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]
  32. [32] 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]
  33. [33] 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]
  34. [34] 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.
  35. [35] 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.
  36. [36] 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]
  37. [37] 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]
  38. [38] 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]
  39. [39] 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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