Haibin Ling  (凌海滨)    (CV)
SUNY Empire Innovation Professor
Dept of Computer Science, Stony Brook University
Room 147, New Computer Science Bldg, Stony Brook, NY 11794-2424
hling AT cs.stonybrook.edu OR AT gmail.com | (+1) 631-632-8457

Short Bio: Haibin Ling received B.S. and M.S. from Peking University in 1997 and 2000, respectively, and Ph.D. from University of Maryland in 2006. From 2000 to 2001, he was an assistant researcher at Microsoft Research Asia; from 2006 to 2007, he worked as a postdoctoral scientist at UCLA; from 2007-2008, he worked for Siemens Corporate Research as a research scientist; and from 2008 to 2019, he was a faculty member of the Department of Computer Sciences for Temple University. In fall 2019, he joined the Department of Computer Science of Stony Brook University, where he is now a SUNY Empire Innovation Professor. His research interests include computer vision, augmented reality, medical image analysis, visual privacy protection, and human computer interaction. He received Best Student Paper Award of ACM UIST (2003), Best Journal Paper Award at IEEE VR (2021), NSF CAREER Award (2014), Yahoo Faculty Research and Engagement Award (2019), and Amazon Machine Learning Research Award (2019). He serves as associate editors for IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Pattern Recognition (PR), and Computer Vision and Image Understanding (CVIU). He has served as Area Chairs various times for CVPR and ECCV.
  Paper/code/data | gScholar | People | CVLab | Tracking Benchmark | CS Events | CSE 327 | CSE 527 |
Prospective students: please read HERE.
  • 2022-01: A paper on human motion segmentation accepted by PAMI.
  • 2021-12: ARCHIE++, our AR userability test platform, accepted by TVCG.
  • 2021-11: Our work on Cryo-EM image analysis accepted by Acta Crystallographica Structural Biology.
  • 2021-10: Our survey on computer vision in drone-captured images accepted by PAMI (pdf | data).
  • 2021-09: A paper on vision transformer (pdf) accepted by NeurIPS 2021.
  • 2021-08: A paper on geometric model fitting accepted by PAMI (pdf | code).
  • 2021-07: Papers on visual tracking, NAS+ViT, camera pose, graph matching, edge detection, and adversarial training accepted by ICCV 2021.

Quick links
  SOLAR | TUMail | GMail | gScholar | gMap | Yahoo | Calendar | CS people | eRA | CVF | fastlane |
  PAMI | PR | CVIU | Google | DBLP | PubMed | WIKI | Bing | Links | IEEE | Weather |