Jianmin Bao
Scholar

Jianmin Bao

Google Scholar ID: hjwvkYUAAAAJ
Microsoft Research
Computer VisionAIGCDeep Generative ModelsDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
19,104
 
H-index
46
 
i10-index
58
 
Publications
20
 
Co-authors
18
list available
Contact
CVOpen ↗GitHubOpen ↗
Publications
12 items
GlobalPaint: Spatiotemporal Coherent Video Outpainting with Global Feature Guidance
arXiv.org · 2026
Cited
0
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
2025
Cited
0
HairShifter: Consistent and High-Fidelity Video Hair Transfer via Anchor-Guided Animation
2025
Cited
0
ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL
2025
Cited
0
Fast Autoregressive Models for Continuous Latent Generation
2025
Cited
0
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
2025
Cited
0
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
2025
Cited
0
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Publications: Over 50 papers in top conferences and journals such as CVPR/ICCV/ECCV/ICML/NeurIPS
  • - Citations: Over 13,000 citations, H-index of 39
  • - Awards: Best paper nominee in CVPR 2021
  • - Influential Papers: Uformer, CSWin Transformer, and SimMIM are among the PaperDigest Most Influential Papers
  • - Service: Reviewer for many top conferences (including CVPR, ICCV, ECCV, AAAI, NeurIPs, ICML, and ICLR) and top journals (TPAMI, IJCV, TIP, TMM, TCSVT)
  • - Future Position: Will be an Area Chair of ICCV'25
Research Experience
  • - Position: Senior Researcher at Microsoft Research
  • - Work Experience: Collaborated closely with Dong Chen, Fang Wen, and Gang Hua during his internship at MSRA
Education
  • - Degree: Ph.D.
  • - University: University of Science and Technology of China (USTC)
  • - Advisors: Prof. Jiebo Luo, Prof. Houqiang Li
  • - Time: B.S. in 2014, Ph.D. in 2019
Background
  • - Research Interests: Deep generative models (e.g., GANs, VAEs, AR, and Diffusion models), large-scale self-supervised learning, vision-language pretraining, and general representation learning
  • - Professional Field: Computer Vision
Miscellany
  • - News:
  • - Will serve as an Area Chair of ICCV'25
  • - Ranked as Top 2% Scientists Worldwide 2024 by Stanford University
  • - 4 papers accepted by CVPR'24 with 1 paper (MicroCinema) as highlight
  • - Uni-ControlNet accepted by NeurIPS 2023
  • - 3 papers accepted by ICCV'23
  • - CVPR 2023 Outstanding Reviewer
  • - X-Paste accepted by ICML'23
  • - 4 papers accepted by CVPR'23 with 2 as highlights (2.5%)
  • - 2 papers accepted by ECCV'22
  • - 8 papers accepted by CVPR'22
  • - Code and models of CSWin Transformer released
  • - 3 papers accepted by ICCV'21
  • - 3 papers accepted by CVPR'21
  • - Sep. 2, 2020: Face X-ray applied for fighting disinformation ahead of 2020 US election
Co-authors
18 total
Dong Chen
Dong Chen
Principal Research Manager, Microsoft Research Asia
Dongdong Chen
Dongdong Chen
Principal Research Manager, GenAI, Microsoft
Baining Guo
Baining Guo
Distinguished Scientist, Microsoft Research
Ting Zhang
Ting Zhang
Associate Professor, Beijing Normal University
Shuyang Gu
Shuyang Gu
Microsoft Research Asia
Houqiang Li
Houqiang Li
Professor, Department of Electric Engineering and Information Science, University of Science and
Xiaoyi Dong
Xiaoyi Dong
Microsoft GenAI
Wengang Zhou
Wengang Zhou
Professor, EEIS Department, University of Science and Technology of China