Cem Keskin
Cem Keskin
Research Scientist Manager, Facebook
Verified email at fb.com
Cited by
Cited by
Accurate, robust, and flexible real-time hand tracking
T Sharp, C Keskin, D Robertson, J Taylor, J Shotton, D Kim, C Rhemann, ...
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
Real time hand pose estimation using depth sensors
C Keskin, F Kıraç, YE Kara, L Akarun
Consumer depth cameras for computer vision, 119-137, 2013
Holoportation: Virtual 3d teleportation in real-time
S Orts-Escolano, C Rhemann, S Fanello, W Chang, A Kowdle, ...
Proceedings of the 29th annual symposium on user interface software and …, 2016
Hand pose estimation and hand shape classification using multi-layered randomized decision forests
C Keskin, F Kıraç, YE Kara, L Akarun
European Conference on Computer Vision, 852-863, 2012
Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences
J Taylor, L Bordeaux, T Cashman, B Corish, C Keskin, T Sharp, E Soto, ...
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
In-air gestures around unmodified mobile devices
J Song, G Sörös, F Pece, SR Fanello, S Izadi, C Keskin, O Hilliges
Proceedings of the 27th annual ACM symposium on User interface software and …, 2014
Real time hand tracking and 3d gesture recognition for interactive interfaces using hmm
C Keskin, A Erkan, L Akarun
Icann/Iconipp 2003, 26-29, 2003
Opening the black box: Hierarchical sampling optimization for estimating human hand pose
D Tang, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton
Proceedings of the IEEE international conference on computer vision, 3325-3333, 2015
Learning an efficient model of hand shape variation from depth images
S Khamis, J Taylor, J Shotton, C Keskin, S Izadi, A Fitzgibbon
Proceedings of the IEEE conference on computer vision and pattern …, 2015
User-Specific Hand Modeling from Monocular Depth Sequences
J Taylor, R Stebbing, V Ramakrishna, C Keskin, J Shotton, S Izadi, ...
Learning to be a depth camera for close-range human capture and interaction
SR Fanello, C Keskin, S Izadi, P Kohli, D Kim, D Sweeney, A Criminisi, ...
ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014
Learning to navigate the energy landscape
J Valentin, A Dai, M Nießner, P Kohli, P Torr, S Izadi, C Keskin
2016 Fourth International Conference on 3D Vision (3DV), 323-332, 2016
Lookingood: Enhancing performance capture with real-time neural re-rendering
R Martin-Brualla, R Pandey, S Yang, P Pidlypenskyi, J Taylor, J Valentin, ...
arXiv preprint arXiv:1811.05029, 2018
Articulated distance fields for ultra-fast tracking of hands interacting
J Taylor, V Tankovich, D Tang, C Keskin, D Kim, P Davidson, A Kowdle, ...
ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017
Filter Forests for Learning Data-Dependent Convolutional Kernels
S Fanello, C Keskin, P Kohli, S Izadi, J Shotton, A Criminisi, U Pattaccini, ...
A low-cost transparent electric field sensor for 3d interaction on mobile devices
M Le Goc, S Taylor, S Izadi, C Keskin
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
Type-hover-swipe in 96 bytes: A motion sensing mechanical keyboard
S Taylor, C Keskin, O Hilliges, S Izadi, J Helmes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
Sign language tutoring tool
O Aran, C Keskin, L Akarun
2005 13th European Signal Processing Conference, 1-4, 2005
Randomized decision forests for static and dynamic hand shape classification
C Keskin, F Kirac, YE Kara, L Akarun
2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012
DTW based clustering to improve hand gesture recognition
C Keskin, AT Cemgil, L Akarun
International Workshop on Human Behavior Understanding, 72-81, 2011
The system can't perform the operation now. Try again later.
Articles 1–20