Zhe L. Lin
Scholar

Zhe L. Lin

Google Scholar ID: R0bnqaAAAAAJ
Senior Principal Scientist, Adobe Research
Computer VisionImage ProcessingMachine Learning
Citations & Impact
All-time
Citations
28,854
 
H-index
76
 
i10-index
259
 
Publications
20
 
Co-authors
61
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - GenFill/GenExpand technology in Photoshop, Top AI Invention by TIMES, 2023
  • - Distinguished inventor: first employee at Adobe to hold 100th and 200th patents
  • - 'Mask-aware Transformer' selected as a Best Paper Finalist in CVPR 2022
  • - Best Reviewer Award for ICCV 2021
  • - 'SmartEye' selected as a Best Paper Honorable Mention in CHI 2019
  • - ImageNet Challenge (ILSVRC 2014), Top 1 in classification/localization track
  • - ImageNet Challenge (ILSVRC 2013), Top 6 in classification
  • - PixelNuggets image search demo, PC Magzine Technical Excellence Award, 2011
  • - Siemens Best Paper Award at ISVC 2008, Las Vegas, NV
  • - The best performer at CLEAR 2007 Research Competition, Baltimore, MD
  • - Multiple publications in NeurIPS 2023, ICCV 2023, CVPR 2023, etc.
Research Experience
  • - Has been a member of Adobe Research since May 2009
  • - Main research areas cover computer vision, image and video processing, and generative models
Education
  • - Ph.D. in Electrical and Computer Engineering from University of Maryland, College Park, May 2009
  • - M.S. in Electrical Engineering and Computer Science from Korea Advanced Institute of Science and Technology, August 2004
  • - B.Eng. in Automatic Control from University of Science and Technology of China
Background
  • Research interests include computer vision, image and video processing, generative modeling, and artificial intelligence. Currently a researcher in the Imaging and Languages Org at Adobe Research.
Miscellany
  • Offering internship/full-time opportunities to self-motivated graduate student interns interested in working on a research project in computer vision, imaging, and generative models.