One Microsoft Way
Redmond WA 98052
|larryz at microsoft com||UW CSE P 576: Computer Vision|
My current areas of interest include object detection, semantic scene understanding, and human debugging. I also enjoy researching stylus-based applications that assist in creating creative content. For more details please see my publications page.
Information about Microsoft's effort to combat illegal imagery and PhotoDNA can be found here.
Executables and Code:
- Structured Edge Detection
- BiCE (Binary Coherent Edge descriptor)
- EdgeFoci (Edge Foci interest points)
Bio: C. Lawrence Zitnick is a senior researcher in the Interactive Visual Media group at Microsoft Research, Redmond and is an affiliate faculty member with the University of Washington. He is interested in a broad range of topics related to visual object recognition. His current interests include object detection, semantically interpreting visual scenes, and the use of human debugging to identify promising areas for future research in object recognition and detection. He developed the PhotoDNA technology used by Microsoft, Facebook and various law enforcement agencies to combat illegal imagery on the web. Previous research topics include computational photography, stereo vision, and image-based rendering. Before joining MSR, he received the PhD degree in robotics from Carnegie Mellon University in 2003. In 1996, he co-invented one of the first commercial portable depth cameras.
- Area chair: CVPR 2009, ECCV 2012, CVPR 2013
- Program committee/Reviewer: CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH ASIA, NIPS, IJCV, PAMI