Peng Wang
Scholar

Peng Wang

Google Scholar ID: Svk4ntYAAAAJ
University of California, Los Angeles / Bytedance, Inc
Computer VisionMachine LearningImage Processing
Citations & Impact
All-time
Citations
10,151
 
H-index
44
 
i10-index
107
 
Publications
20
 
Co-authors
59
list available
Resume (English only)
Academic Achievements
  • Published papers: Two in ICLR 2025, two in CVPR 2025, three in CVPR 2024, one in ICLR 2024, one in NeurIPS 2023, one in 3DV 2024, one in ICLR 2023, one in CVPR 2023, one in CVPR 2022, one in ECCV 2022, one in CVPR 2021, one in ACCV 2020, one in ICRA 2020, one in CVPR 2020, three in TPAMI 2019, one in BMVC 2019, two in AAAI 2020, two in CVPR 2019, one in ECCV 2018 (ranked No.1 at KITTI stereo), one in BMVC 2018, five in CVPR 2018, one in CVPR 2017, PASCAL human part and keypoints dataset released, one in AAAI 2018.
Research Experience
  • Senior Staff Research Scientist (Tech Lead) at Bytedance, USA, delivering techs to multiple products including Doubao, CapCut, TikTok, etc.
Education
  • Ph.D. from University of California, Los Angeles (UCLA), supervised by Prof. Alan Yuille; M.S./B.S. from Peking University.
Background
  • Research Interests: Unifying multi-task models for generation and understanding; Professional Areas: Computer Vision and Machine Learning, such as learning 2D/3D representations, learning neural architectures, and mining informative instances from large image/video datasets.
Miscellany
  • Personal interests not mentioned