Edward J. Smith

Publication Activity (10 Years)

Years Active: 1965-2023
Publications (10 Years): 18

Top Topics

Geometric Structure

Scene Reconstruction

Top Venues

Publications

Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR (2023)
Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS (2023)
Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman
Frame Averaging for Invariant and Equivariant Network Design. ICLR (2022)
Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. CoRR (2022)
Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman
Frame Averaging for Invariant and Equivariant Network Design. CoRR (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS (2021)
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
Active 3D Shape Reconstruction from Vision and Touch. CoRR (2021)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. NeurIPS (2020)
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
3D Shape Reconstruction from Vision and Touch. CoRR (2020)
Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. CoRR (2019)
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. CoRR (2019)
Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS (2019)
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. ICML (2019)
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. CoRR (2019)
Edward J. Smith, Scott Fujimoto, David Meger
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation. NeurIPS (2018)
Edward J. Smith, Scott Fujimoto, David Meger
3D Object Super-Resolution. CoRR (2018)
Edward J. Smith, David Meger
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRL (2017)
Edward J. Smith, David Meger
Improved Adversarial Systems for 3D Object Generation and Reconstruction. CoRR (2017)
Peter Weiner, Edward J. Smith
On the Number of Distinct State Assignments for Synchronous Sequential Machines. IEEE Trans. Electron. Comput. 16 (2) (1967)
Peter Weiner, Edward J. Smith
Optimization of Reduced Dependencies for Synchronous Sequential Machines. IEEE Trans. Electron. Comput. 16 (6) (1967)
Edward J. Smith, Zvi Kohavi
Synthesis of Multiple Sequential Machines SWAT (1966)
Zvi Kohavi, Edward J. Smith
Decomposition of sequential machines SWCT (1965)