魏云超

博士、教授

基本信息

办公电话： 电子邮件： yunchao.wei@bjtu.edu.cn
通讯地址：北京交通大学科技大厦1013-B08 邮编：100044

教育背景

魏云超，1987年出生于河北省邢台市南和区，国家高层次人才项目获得者，北京交通大学教授、博导，隶属信息科学研究所数字媒体信息处理研究中心。2016年毕业于北京交通大学，获工学博士学位。2016-2019年间在新加坡国立大学、美国伊利诺伊大学厄巴纳-香槟分校从事博士后研究工作。2019年入选澳大利亚研究委员会青年研究奖，加入悉尼科技大学获终身助理教授职位，并于2021年破格提升为高级讲师。主要从事计算机视觉方面的相关研究，包括面向非完美数据的视觉认知、图像/视频的分割和物体检测、多模态数据建模、生成式人工智能等。入选百度2022年AI全球华人青年学者榜单、《麻省理工科技评论》2021年中国区“35岁以下科技创新35人” （MIT TR35 China）、《澳大利亚人》2020年全澳Top 40青年学术研究者（计算机领域共5人）。曾获教育部高等学校自然科学奖一等奖（2022）、中国图象图形学学会科技技术奖一等奖 (2019)、澳大利亚研究委员会青年研究奖ARC DECRA（2019）、IBM C3SR最佳研究奖（2019）、计算机视觉领域世界杯ImageNet竞赛冠军（2014）、CVPR 人体精细化分割冠军（2018/2019）、Youtube-VOS大规模视频物体分割冠军 (2021)、中国电子学会/北京交通大学优博 (2016)等。在国际顶级会议CVPR/ICCV/ECCV上多次组办相关的学术研讨会。发表IEEE TPAMI/IJCV、CVPR/ICCV/ECCV/NeurIPS等国际顶级期刊会议论文近百篇，Google引用17000多次。团队主页：https://weiyc.github.io

工作经历

  • 北京交通大学，教授，2021-至今
  • 悉尼科技大学 (UTS)，讲师、高级讲师，2019-2021
  • 美国伊利诺伊大学香槟分校 (UIUC)，博士后 (合作导师：Thomas Huang)，2017-2019
  • 新加坡国立大学 (NUS)，博士后 (合作导师：Jiashi Feng，Shuicheng Yan)，2016-2017

研究方向

  • 人工智能与智能融合
  • 数字媒体信息处理与智能分析
  • 模式识别与智能系统
  • 机器人技术与无人驾驶
  • 新一代电子信息技术
  • 人工智能
  • 软件工程
  • 大数据技术与工程

招生专业

  • 信息与通信工程硕士
  • 控制科学与工程硕士
  • 新一代电子信息技术（含量子技术等）硕士
  • 人工智能硕士
  • 软件工程硕士
  • 大数据技术与工程硕士
  • 信息与通信工程博士
  • 新一代电子信息技术（含量子技术等）博士
  • 人工智能博士

研究生招生和培养

请参考：

https://weiyc.github.io/opening.html

科研项目

  • 国家自然科学基金“重点国际（地区）合作研究项目”: 人机共友好的深度视频编码, 2022-2026
  • 科技创新2030-"新一代人工智能"重大项目：连续学习理论和方法，2022-2024

论文/期刊

Please refer to my Google Scholar for the full list.

Representative Journal Articles

  1. Jiaxu Miao, Yunchao Wei, Xiaohan Wang, Yi Yang. Temporal Pixel-level Semantic Understanding through the VSPW Dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  2. Shiyin Zhang, Shikui Wei, Jun Hao Liew, Kunyang Han, Yao Zhao, Yunchao Wei. Interactive Object Segmentation with Inside-Outside Guidance. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  3. Peng-Tao Jiang, Ling-Hao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei. Online Attention Accumulation for Weakly Supervised Semantic Segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  4. Zongxin Yang, Yunchao Wei, Yi Yang. Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  5. Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei, Yao Zhao. Affinity Attention Graph Neural Network forWeakly Supervised Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  6. 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 (TPAMI), 2021
  7. Zilong Huang, Yunchao Wei, Xinggang Wang, Honghui Shi, Wenyu Liu, Thomas S. Huang. AlignSeg: Feature-Aligned Segmentation Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  8. Peike Li, Yunqiu Xu, Yunchao Wei, Yi Yang. Self-Correction for Human Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  9. Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander G. Hauptmann. Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
  10. Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang. CCNet: Criss-Cross Attention for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
  11. Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Liang Lin, Shuicheng Yan. Proposal-free network for instance-level object segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
  12. Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan. STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
  13. Yunchao Wei, Wei Xia, Min Lin, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan. HCP: A Flexible CNN Framework for Multi-label Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
  14. Xiaodan Liang, Yunchao Wei, Yunpeng Chen, Xiaohui Shen, Liang Lin, Shuicheng Yan. Learning to Segment Human by Watching YouTube. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

Conference Proceedings

(23 CVPR, 9 ICCV, 9 ECCV, 5 NeurIPS, 9 AAAI, 4 MM, 1 IJCAI)

2023

  1. Guangrui Li, Guoliang Kang, Xiaohan Wang, Yunchao Wei, Yi Yang. Adversarially Masking Synthetic to Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  2. Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao. Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  3. Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao. Learning to Segment Every Referring Object Point by Point. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  4. Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Yunchao Wei. Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

  5. Ting Liu, Yunchao Wei, Yanning Zhang. Progressive Neighborhood Aggregation for Semantic Segmentation Refinement. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023

2022

  1. Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei. SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding. European Conference on Computer Vision (ECCV), 2022 
  2. Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei. Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation. European Conference on Computer Vision (ECCV), 2022 
  3. Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei. Slim Scissors: Segmenting Thin Object from Synthetic Background. European Conference on Computer Vision (ECCV), 2022 
  4. Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang. Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 
  5. Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang. M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 
  6. L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

2021

  1. Gengwei Zhang, Guoliang Kang, Yi Yang, Yunchao Wei. Few-Shot Segmentation via Cycle-Consistent Transformer. Neural Information Processing Systems (NeurIPS), 2021
  2. Zongxin Yang, Yunchao Wei, Yi Yang. Associating Objects with Transformers for Video Object Segmentation. Neural Information Processing Systems (NeurIPS), 2021
  3. Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang. AINet: Association Implantation for Superpixel Segmentation. International Conference on Computer Vision (ICCV), 2021
  4. Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao. Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation. International Conference on Computer Vision (ICCV), 2021
  5. Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang. Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining. International Conference on Computer Vision (ICCV), 2021
  6. Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang. VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  7. Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang. Domain Consensus Clustering for Universal Domain Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

2020

  1. Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann. Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. Neural Information Processing Systems (NeurIPS), 2020 oral
  2. Peike Li, Yunchao Wei, Yi Yang. Consistent Structural Relation Learning for Generalized Zero-Shot Segmentation. Neural Information Processing Systems (NeurIPS), 2020 spotlight oral
  3. Peike Li, Yunchao Wei, Yi Yang. Meta Parsing Networks: Towards Generalized Few-shot Scene Parsing with Adaptive Metric Learning. ACM Multimedia (MM), 2020 oral
  4. Zhedong Zheng, Yunchao Wei, Yi Yang. University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization. ACM Multimedia (MM), 2020
  5. Zongxin Yang, Yunchao Wei, Yi Yang. Collaborative Video Object Segmentation by Foreground-Background Integration. European Conference on Computer Vision (ECCV), 2020 spotlight oral
  6. Xiaolin Zhang, Yunchao Wei, Yi Yang. Inter-Image Communication for Weakly Supervised Localization. European Conference on Computer Vision (ECCV), 2020
  7. Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang. Content-Consistent Matching for Domain Adaptive Semantic Segmentation. European Conference on Computer Vision (ECCV), 2020
  8. Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao. Interactive Object Segmentation with Inside-Outside Guidance. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 oral
  9. Jiaxu Miao, Yunchao Wei, Yi Yang. Memory Aggregation Networks for Efficient Interactive Video Object Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  10. 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
  11. Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi. Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  12. Mang Tik Chiu, Xingqian Xu, Yunchao Wei, et al. Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  13. Bingfeng Zhang, Jinmin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang. Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. Association for the Advancement of Artificial Intelligence (AAAI), 2020

2019

  1. Pengtao Jiang, Qibin Hou, Yang Cao, Mingming Cheng, Yunchao Wei, Hongkai Xiong. Integral Object Mining via Online Attention Accumulation. International Conference on Computer Vision (ICCV), 2019
  2. Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu. CCNet: Criss-Cross Attention for Semantic Segmentation. International Conference on Computer Vision (ICCV), 2019
  3. Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas Huang, Wen-Mei Hwu, Honghui Shi. SPGNet: Semantic Prediction Guidance for Scene Parsing. International Conference on Computer Vision (ICCV), 2019
  4. Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas Huang. Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification. International Conference on Computer Vision (ICCV), 2019 oral
  5. BinWang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang. Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. International Joint Conference on Artificial Intelligence (IJCAI), 2019
  6. Canyi Lu, Xi Peng, Yunchao Wei. Low-rank Tensor Completion with a New Tensor Nuclear Norm Induced by Invertible Linear Transforms. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  7. Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson Lau, Thomas Huang. Geometry-Aware Distillation for Indoor Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  8. Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei*, Shikui Wei, Yao Zhao, Thomas Huang. Devil in the Details: Towards Accurate Single and Multiple Human Parsing. Association for the Advancement of Artificial Intelligence (AAAI), 2019 oral
  9. Rui Qian, Yunchao Wei*, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang. Weakly Supervised Scene Parsing with Point-based Distance Metric Learning. Association for the Advancement of Artificial Intelligence (AAAI), 2019
  10. Yang Fu, XiaoyangWang, Yunchao Wei*, Thomas Huang. STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification. Association for the Advancement of Artificial Intelligence (AAAI), 2019
  11. Yang Fu, Yunchao Wei*, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang. Horizontal Pyramid Matching for Person Re-identification. Association for the Advancement of Artificial Intelligence (AAAI), 2019

2018

  1. Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng. Self-Erasing Network for Integral Object Attention. Neural Information Processing Systems (NeurIPS), 2018
  2. Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas Huang. TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. European Conference on Computer Vision (ECCV), 2018
  3. Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong, Thomas Huang. Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. European Conference on Computer Vision (ECCV), 2018
  4. Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang, Thomas Huang. Self-produced Guidance for Weakly-supervised Object Localization. European Conference on Computer Vision (ECCV), 2018
  5. Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas Huang. Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 spotlight oral
  6. Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas Huang. Adversarial Complementary Learning for Weakly Supervised Object Localization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
  7. Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu. Left-Right Comparative Recurrent Model for Stereo Matching. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
  8. Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng. Transferable Semi-supervised Semantic Segmentation. Association for the Advancement of Artificial Intelligence (AAAI), 2018 oral

2017

  1. Ting Liu, Yunchao Wei, Yao Zhao, Si Liu and Shikui Wei. Magic-wall: Visualizing Room Decoration. ACM Multimedia (MM), 2017 oral
  2. Jianan Li, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu and Jiashi Feng. Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval. ACM Multimedia (MM), 2017
  3. Jun Hao Liew, Yunchao Wei, Sim-Heng Ong, Wei Xiong, Jiashi Feng. Regional Interactive Image Segmentation Networks. International Conference on Computer Vision (ICCV), 2017
  4. Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan. Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 oral
  5. Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng. Deep Self-taught Learning for Weakly Supervised Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
  6. Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan. Perceptual Generative Adversarial Networks for Small Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Before 2017

  1. Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan. Reversible Recursive Instance-level Object Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  2. Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Shuicheng Yan. Deep Learning with S-shaped Rectified Linear Units. Association for the Advancement of Artificial Intelligence (AAAI), 2016
  3. Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan. Towards Computational Baby Learning: A Weakly-supervised Approach for Object Detection. International Conference on Computer Vision (ICCV), 2015
  4. Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan. Proximal Iteratively Re-weighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.Association for the Advancement of Artificial Intelligence (AAAI), 2014

获奖与荣誉


  • 入选百度AI全球华人青年学者榜单，2022
  • 入选MIT TR35 China，2021
  • 获CVPR Youtube VOS Challenge视频物体分割竞赛冠军，2021
  • 入选国家级高层次人才引进计划，2020
  • 获DAVIS Challenge视频物体分割竞赛亚军，2020
  • 获中国图象图形学学会科学技术奖一等奖，2020
  • 入选澳大利亚人全澳TOP 40青年研究学者，2020
  • 获澳大利亚研究委员会青年研究奖ARC DECRA，2019
  • 获CVPR Look Into Person (LIP) Challenge在精细化人体解析竞赛的三项冠军，2019
  • 获CVPR Look Into Person (LIP) Challenge在精细化人体解析竞赛的三项冠军，2018
  • 获计算机视觉世界杯ILSVRC 2017在视频物体检测和跟踪竞赛四项亚军，2017
  • 获中国电子学会优秀博士论文(20/144)，2016
  • 获北京交通大学优秀博士论文，2016
  • 获计算机视觉世界杯ILSVRC 2014在物体检测检测竞赛冠军，2014


社会兼职

Program Organizer

  • Workshop Chair, The 11th International Conference on Image and Graphics, 2021
  • Organizer, The Tutorial on Data- and Label-Efficient Learning in An Imperfect World, CVPR 2021
  • General Chair, The 1st International Workshop on Future Video Conferencing, CVPR 2021
  • General Chair, The International Workshop on Learning from Limited and Imperfect Data, CVPR 2021
  • General Chair, The 2nd Workshop on Real-World Computer Vision from Inputs with Limited Quality, ECCV, 2020
  • General Chair, The 2nd Workshop on Learning from Imperfect Data, CVPR, 2020
  • General Chair, The 1st Workshop on Real-World Recognition from Low-Quality Images and Videos, ICCV, 2019
  • General Chair, The 1st Workshop on Learning from Imperfect Data, CVPR, 2019
  • General Chair, The Workshop on Weakly Supervised Visual Understanding, VALSE, 2019
  • General Chair, The Workshop on Pixel Level Image Understanding, VALSE, 2018
  • Organizer, The Tutorial on Structured Deep Learning for Pixel-level Understanding, ACM MM, 201

Area Chair/Senior Program Committee

  • Winter Conference on Applications of Computer Vision (WACV) 2022
  • International Joint Conference on Artificial Intelligence (IJCAI) 2021
  • Asian Conference on Machine Learning (ACML) 2021

Reviewer/TPC: 

  • Journal: TPAMI, IJCV, TIP, etc.
  • Conference：CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.