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
haibin.ling 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 in 2003 and NSF CAREER Award in 2014. 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.
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Prospective students: please read HERE.
  • 2021-04: Xinyi Li successfully defended her PhD thesis, congratulations Dr. Li!
  • 2021-04: Our work on projector-camera systems, DeProCams, received TVCG Best Journal Paper Award at VR 2021.
  • 2021-03: Our generic multiple object tracking benchmark, GMOT-40 (pdf | data), is accepted by CVPR 2021.
  • 2021-03: A paper on object detection with NAS (pdf | code) accepted by CVPR 2021.
  • 2021-03: A paper on NAS with ensemble (pdf | code) accepted by CVPR 2021.
  • 2021-01: Our survey on salient object detection accepted by PAMI (arXiv, code/data).
  • 2021-01: A paper on projector-camera systems DeProCams (pdf, code) accepated by VR 2021/T-VCG.
  • 2021-01: CompenNeSt, a system for projector compensation (pdf, code) accepted by PAMI.
  • 2020-12: Our work on mail (not e-mail) privacy (pdf, code) accepted by AAAI 2021.

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