Sameh Khamis

According to our database, Sameh Khamis authored at least 36 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Real-Time Radiance Fields for Single-Image Portrait View Synthesis.

Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano

ACM Trans. Graph., August, 2023

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization.

Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Learning Human Dynamics in Autonomous Driving Scenarios.

Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RANA: Relightable Articulated Neural Avatars.

Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation.

Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang

ACM Trans. Graph., 2022

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis.

Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles T. Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, Stan Birchfield

CoRR, 2022

DRaCoN - Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars.

Amit Raj, Umar Iqbal, Koki Nagano, Sameh Khamis, Pavlo Molchanov, James Hays, Jan Kautz

CoRR, 2022

Neural Fields as Learnable Kernels for 3D Reconstruction.

Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Geometry-aware 3D Generative Adversarial Networks.

Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Frame Averaging for Equivariant Shape Space Learning.

Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting.

Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, Sameh Khamis

CoRR, 2021

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer.

Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations.

Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation.

Hossam N. Isack, Christian Häne, Cem Keskin, Sofien Bouaziz, Yuri Boykov, Shahram Izadi, Sameh Khamis

CoRR, 2020

2019

Neural Rerendering in the Wild.

Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Depth from motion for smartphone AR.

Julien P. C. Valentin, Adarsh Kowdle, Jonathan T. Barron, Neal Wadhwa, Max Dzitsiuk, Michael Schoenberg, Vivek Verma, Ambrus Csaszar, Eric Turner, Ivan Dryanovski, João Afonso, Jose Pascoal, Konstantine Tsotsos, Mira Leung, Mirko Schmidt, Onur G. Guleryuz, Sameh Khamis, Vladimir Tankovich, Sean Ryan Fanello, Shahram Izadi, Christoph Rhemann

ACM Trans. Graph., 2018

<i>LookinGood</i>: enhancing performance capture with real-time neural re-rendering.

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip L. Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello

ACM Trans. Graph., 2018

The need 4 speed in real-time dense visual tracking.

Adarsh Kowdle, Christoph Rhemann, Sean Ryan Fanello, Andrea Tagliasacchi, Jonathan Taylor, Philip L. Davidson, Mingsong Dou, Kaiwen Guo, Cem Keskin, Sameh Khamis, David Kim, Danhang Tang, Vladimir Tankovich, Julien P. C. Valentin, Shahram Izadi

ACM Trans. Graph., 2018

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering.

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip L. Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello

CoRR, 2018

ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems.

Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien P. C. Valentin, Adarsh Kowdle, Vladimir Tankovich, Michael Schoenberg, Shahram Izadi, Thomas A. Funkhouser, Sean Ryan Fanello

Proceedings of the Computer Vision - ECCV 2018, 2018

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction.

Sameh Khamis, Sean Ryan Fanello, Christoph Rhemann, Adarsh Kowdle, Julien P. C. Valentin, Shahram Izadi

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Motion2fusion: real-time volumetric performance capture.

Mingsong Dou, Philip L. Davidson, Sean Ryan Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, Shahram Izadi

ACM Trans. Graph., 2017

2016

Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences.

Jonathan Taylor, Lucas Bordeaux, Thomas J. Cashman, Bob Corish, Cem Keskin, Toby Sharp, Eduardo Soto, David Sweeney, Julien P. C. Valentin, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Shahram Izadi, Richard Banks, Andrew W. Fitzgibbon, Jamie Shotton

ACM Trans. Graph., 2016

Fusion4D: real-time performance capture of challenging scenes.

Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip L. Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts-Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, Shahram Izadi

ACM Trans. Graph., 2016

Parameterizing Region Covariance: An Efficient Way To Apply Sparse Codes On Second Order Statistics.

Xiyang Dai, Sameh Khamis, Yangmuzi Zhang, Larry S. Davis

CoRR, 2016

Holoportation: Virtual 3D Teleportation in Real-time.

Sergio Orts-Escolano, Christoph Rhemann, Sean Ryan Fanello, Wayne Chang, Adarsh Kowdle, Yury Degtyarev, David Kim, Philip L. Davidson, Sameh Khamis, Mingsong Dou, Vladimir Tankovich, Charles T. Loop, Qin Cai, Philip A. Chou, Sarah Mennicken, Julien P. C. Valentin, Vivek Pradeep, Shenlong Wang, Sing Bing Kang, Pushmeet Kohli, Yuliya Lutchyn, Cem Keskin, Shahram Izadi

Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016

Fits Like a Glove: Rapid and Reliable Hand Shape Personalization.

David Joseph Tan, Thomas J. Cashman, Jonathan Taylor, Andrew W. Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Leveraging Structure in Activity Recognition: Context and Spatiotemporal Dynamics.

Sameh Khamis

PhD thesis, 2015

Learning an efficient model of hand shape variation from depth images.

Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew W. Fitzgibbon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Walking and talking: A bilinear approach to multi-label action recognition.

Sameh Khamis, Larry S. Davis

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Joint Learning for Attribute-Consistent Person Re-Identification.

Sameh Khamis, Cheng-Hao Kuo, Vivek K. Singh, Vinay D. Shet, Larry S. Davis

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

CoConut: Co-Classification with Output Space Regularization.

Sameh Khamis, Christoph H. Lampert

Proceedings of the British Machine Vision Conference, 2014

2013

Person re-identification using semantic color names and RankBoost.

Cheng-Hao Kuo, Sameh Khamis, Vinay D. Shet

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Collective Activity Detection Using Hinge-loss Markov Random Fields.

Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Combining Per-frame and Per-track Cues for Multi-person Action Recognition.

Sameh Khamis, Vlad I. Morariu, Larry S. Davis

Proceedings of the Computer Vision - ECCV 2012, 2012

A flow model for joint action recognition and identity maintenance.

Sameh Khamis, Vlad I. Morariu, Larry S. Davis

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012