Bin Xiao is a Principal Researcher of Microsoft GenAI Group. His research interests include computer vision and deep learning. His current research focuses on the large-scale foundational model pre-training in computer vision and image/text multi-modality learning. He builds the largest computer vision foundational models (Florence) at Microsoft.

Selected publications

Please refer to my Google scholar for a full list of my publications.

1. Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
   Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan
   [arXiv]
2. DaViT: Dual Attention Vision Transformers
   Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan
   European Conference on Computer Vision (ECCV), 2022
   
3. Unified contrastive learning in image-text-label space
   Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
   Conference on Computer Vision and Pattern Recognition (CVPR), 2022
   [Paper]
4. Florence: A New Foundation Model for Computer Vision
   Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
   [arXiv]
5. CvT: Introducing Convolutions to Vision Transformers
   Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang
   International Conference on Computer Vision (ICCV), 2021
   [Paper] [Code] Paper Digest Most Influential ICCV Papers
6. Lite-hrnet: A lightweight high-resolution network
   Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang
   Conference on Computer Vision and Pattern Recognition (CVPR), 2021
   [Paper] [Code]
7. HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
   Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S Huang, Lei Zhang
   Conference on Computer Vision and Pattern Recognition (CVPR), 2020
   [Paper] [Code]
8. Deep High-Resolution Representation Learning for Visual Recognition
   Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao
   IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020
   [Paper]
9. Deep High-Resolution Representation Learning for Human Pose Estimation
   Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
   Conference on Computer Vision and Pattern Recognition (CVPR), 2019
   [Paper] [Code] Paper Digest Most Influential CVPR Papers
10. Integral human pose regression
    Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, Yichen Wei
    European Conference on Computer Vision (ECCV), 2018
    [Paper]
11. Simple baselines for human pose estimation and tracking
    Bin Xiao, Haiping Wu, Yichen Wei
    European Conference on Computer Vision (ECCV), 2018
    [Paper] [Code] Paper Digest Most Influential ECCV Papers

Honors and Awards

• 1st place in Look into Person Challenge 2019: Single-Person Human Pose Estimation Track
• 2nd place in Object356 Challenge 2019 : Full track
• 1st place in PoseTrack Multi-Person Pose Tracking Challenge 2018
• 2nd place in COCO Keypoint Detection Challenge 2018

Professinonal Activities

• Conference reviewer: CVPR, ICCV, ECCV, ICLR, and et.al.
• Journal reviewer: T-PAMI, T-MM, IJCV, and et.al.