Home | Gigavision Workshop

Speakers

David J. Brady

Duke University

(Tentative)

Dr. Brady is the Michael J. Fitzpatrick Professor of Photonics in the Pratt School of Engineering at Duke University, Professor of Electrical and Computer Engineering at Duke Kunshan University and director the Duke Imaging and Spectroscopy Program and the Duke Kunshan University Camputer Laboratory. Brady’s research focuses on computational optical imaging. DISP built the world's first terrestrial gigapixel camera (this work was systematically introduced in the article titled with “Multiscale gigapixel photography”, Nature journal 2012), through the Camputer Laboratory Dr. Brady is leading development of increasingly compact, power efficient and intelligent gigapixel cameras. Brady is also Chief Scientist of Aqueti, which manufactures gigapixel cameras. He is a Fellow of IEEE, SPIE and OSA. He won SPIE Dennis Gabor Award for the development of compressive holographic and tomographic imaging systems in 2013.

 

Ruiping Wang

Chinese Academy of Sciences

(Tentative)

Ruiping Wang is a Professor at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). Prior to joining ICT in July 2012, he was a postdoctoral researcher with the Tsinghua University from July 2010 to June 2012. He also spent one year working as a Research Associate with the University of Maryland, College Park, from Nov. 2010 to Oct. 2011. He has published more than 60 papers in peer-reviewed journals and conferences, including IEEE TPAMI, IJCV, CVPR, ICCV, ECCV, ICML, and has received the Best Student Poster Award Runner-up from IEEE CVPR 2008 for the work on Manifold-Manifold Distance. Dr. Wang serves as an Associate Editor for IEEE Access, IEEE Biometrics Compendium, The Visual Computer (Springer), Neurocomputing (Elsevier), a Guest Editor for Pattern Recognition, Area Chair for IEEE WACV2018/2019, ICME2019, Publication Chair for IEEE FG 2018, IJCB 2020, Publicity Chair for ICB 2019, and Challenge Chair for IEEE AVSS 2020. He has co-organized tutorials in ACCV 2014/CVPR 2015/ECCV 2016/ICIP 2017, and workshop at ACCV 2016. His current research interests include video-based face recognition/retrieval, large-scale image retrieval, visual scene understanding, image set classification, distance metric learning, and manifold learning. He is a member of the IEEE.