Sameh Khamis
Sameh Khamis
Co-Founder, Lead Research Scientist, Rembrand
Verified email at - Homepage
Cited by
Cited by
Efficient geometry-aware 3d generative adversarial networks
ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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
Fusion4d: Real-time performance capture of challenging scenes
M Dou, S Khamis, Y Degtyarev, P Davidson, SR Fanello, A Kowdle, ...
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction
S Khamis, S Fanello, C Rhemann, A Kowdle, J Valentin, S Izadi
Proceedings of the European conference on computer vision (ECCV), 573-590, 2018
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
Neural rerendering in the wild
M Meshry, DB Goldman, S Khamis, H Hoppe, R Pandey, N Snavely, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Motion2fusion: Real-time volumetric performance capture
M Dou, P Davidson, SR Fanello, S Khamis, A Kowdle, C Rhemann, ...
ACM Transactions on Graphics (ToG) 36 (6), 1-16, 2017
Joint Learning for Attribute-Consistent Person Re-Identification
S Khamis, CH Kuo, VK Singh, VD Shet, LS Davis
Learning an Efficient Model of Hand Shape Variation from Depth Images
S Khamis, J Taylor, J Shotton, C Keskin, S Izadi, A Fitzgibbon
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization
DJ Tan, T Cashman, J Taylor, A Fitzgibbon, D Tarlow, S Khamis, S Izadi, ...
IEEE Conference on Computer Vision and Pattern Recognition}, 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
Depth from motion for smartphone AR
J Valentin, A Kowdle, JT Barron, N Wadhwa, M Dzitsiuk, M Schoenberg, ...
ACM Transactions on Graphics (ToG) 37 (6), 1-19, 2018
Activestereonet: End-to-end self-supervised learning for active stereo systems
Y Zhang, S Khamis, C Rhemann, J Valentin, A Kowdle, V Tankovich, ...
Proceedings of the European conference on computer vision (ECCV), 784-801, 2018
Person Re-identification using Semantic Color Names and RankBoost
CH Kuo, S Khamis, V Shet
IEEE Workshop on the Applications of Computer Vision, 2013
Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition
S Khamis, VI Morariu, LS Davis
European Conference on Computer Vision, 2012
3dstylenet: Creating 3d shapes with geometric and texture style variations
K Yin, J Gao, M Shugrina, S Khamis, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
DIB-R++: learning to predict lighting and material with a hybrid differentiable renderer
W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ...
Advances in Neural Information Processing Systems 34, 22834-22848, 2021
Neural fields as learnable kernels for 3d reconstruction
F Williams, Z Gojcic, S Khamis, D Zorin, J Bruna, S Fidler, O Litany
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Learning to relight portrait images via a virtual light stage and synthetic-to-real adaptation
YY Yeh, K Nagano, S Khamis, J Kautz, MY Liu, TC Wang
ACM Transactions on Graphics (TOG) 41 (6), 1-21, 2022
A Flow Model for Joint Action Recognition and Identity Maintenance
S Khamis, VI Morariu, LS Davis
IEEE Conference on Computer Vision and Pattern Recognition, 1218-1225, 2012
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