Yixiao Ge

Tencent ARC Lab

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I am currently a senior researcher at Tencent ARC Lab (Applied Research Center, PCG) in Beijing. I got my Ph.D. degree from Multimedia Lab (MMLab), the Chinese University of Hong Kong, advised by Prof. Hongsheng Li and Prof. Xiaogang Wang. Previously, I received the B.Eng. degree from Huazhong University of Science and Technology. My research interests include computer vision and deep learning, focusing on multimodal understanding and reasoning, generic vision pretraining, green artificial intelligence, etc. If you are interested in an internship, please email me.


News

  • [Jul 2022] Three papers are accepted to ECCV 2022.
  • [Apr 2022] One paper is accepted to IJCAI 2022 as a Long oral presentation.
  • [Mar 2022] Two papers are accepted to CVPR 2022 with one Oral presentation.
  • [Jan 2022] Three papers are accepted to ICLR 2022.
  • [Jul 2021] Two papers are accepted to ICCV 2021.
  • [Mar 2021] Three papers are accepted to CVPR 2021.
  • [Sep 2020] One paper is accepted to NeurIPS 2020.
  • [Aug 2020] We achieved 2nd place in VisDA-2020 Challenge in ECCV 2020. [Project]
  • [Jul 2020] One paper is accepted to ECCV 2020 as a Spotlight presentation.
  • [Jul 2020] The OpenUnReID codebase is online. [Code]

Publications [Google Scholar]

(*Equal Contribution   *Correspondence)

2022:
  • Masked Image Modeling with Denoising Contrast
    Kun Yi*, Yixiao Ge**, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie
    Tech report, 2022 [Paper]
  • Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
    Yuxin Fang*, Shusheng Yang*, Shijie Wang*, Yixiao Ge, Ying Shan, Xinggang Wang
    Tech report, 2022 [Paper] [Code] GitHub stars
  • Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval
    Shupeng Su*, Binjie Zhang*, Yixiao Ge*, Xuyuan Xu, Yexin Wang, Chun Yuan, Ying Shan
    Tech report, 2022 [Paper] [Code] GitHub stars
  • Revitalize Region Feature for Democratizing Video-Language Pre-training
    Guanyu Cai, Yixiao Ge, Alex Jinpeng Wang, Rui Yan, Xudong Lin, Ying Shan, Lianghua He, Xiaohu Qie, Jianping Wu, Mike Zheng Shou
    Tech report, 2022 [Paper] [Code] GitHub stars
  • All in One: Exploring Unified Video-Language Pre-training
    Alex Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    Tech report, 2022 [Paper] [Code] GitHub stars
  • Video-Text Pre-training with Learned Regions
    Rui Yan, Mike Zheng Shou, Yixiao Ge, Alex Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang
    Tech report, 2022 [Paper] [Code] GitHub stars
  • MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval
    Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo
    ECCV, 2022 [Paper] [Code] GitHub stars
  • Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
    Wenqi Shao, Xun Zhao, Yixiao Ge*, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo
    ECCV, 2022 [Paper] [Code] GitHub stars
  • mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
    Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Lingyu Duan
    ECCV, 2022 [Paper] [Code] GitHub stars
  • Towards Universal Backward-Compatible Representation Learning
    Binjie Zhang, Yixiao Ge*, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan
    IJCAI, 2022 (Long oral) [Paper] [Code] GitHub stars
  • Bridging Video-text Retrieval with Multiple Choice Questions
    Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo
    CVPR, 2022 (Oral) [Paper] [Code] GitHub stars
  • Object-aware Video-language Pre-training for Retrieval
    Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    CVPR, 2022 [Paper] [Code] GitHub stars
  • Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
    Binjie Zhang, Yixiao Ge*, Yantao Shen, Yu Li, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan
    ICLR, 2022 [Paper] [Code] GitHub stars
  • Dynamic Token Normalization Improves Vision Transformer
    Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo
    ICLR, 2022 [Paper] [Code] GitHub stars
  • Uncertainty Modeling for Out-of-Distribution Generalization
    Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Lingyu Duan
    ICLR, 2022 [Paper] [Code] GitHub stars
2021:
  • Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
    Yixiao Ge, Xiao Zhang, Ching Lam Choi, Ka Chun Cheung, Peipei Zhao, Feng Zhu, Xiaogang Wang, Rui Zhao, Hongsheng Li
    Tech report, 2021 [Project] [Paper] [Code] GitHub stars
  • Progressive Correspondence Pruning by Consensus Learning
    Chen Zhao*, Yixiao Ge*, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann
    ICCV, 2021 [Project] [Paper] [Code] GitHub stars
  • Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification
    Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Donglian Qi, Jing Qin, Dapeng Chen
    ICCV, 2021 [Paper]
  • Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
    Xiao Zhang*, Yixiao Ge*, Yu Qiao, Hongsheng Li
    CVPR, 2021 [Paper]
  • DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
    Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li
    CVPR, 2021 [Paper] [Code] GitHub stars
  • Mutual CRF-GNN Network for Few-shot Learning
    Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang
    CVPR 2021 [Paper]
2020:
  • Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li
    NeurIPS, 2020 [Project] [Paper] [Code] GitHub stars
  • Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
    Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li
    ECCV, 2020 (Spotlight) [Project] [Paper] [Code] GitHub stars
  • Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
    Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li
    Tech report, 2020; IEEE TNNLS, 2022 [Project] [Paper] [Code] GitHub stars
  • Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
    Yixiao Ge, Dapeng Chen, Hongsheng Li
    ICLR, 2020 [Project] [Paper] [Code] GitHub stars
Before 2020:
  • FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
    Yixiao Ge*, Zhuowan Li*, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li
    NeurIPS, 2018 [Project] [Paper] [Code] GitHub stars