Samarth Sinha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | SparsePose: Sparse-View Camera Pose Regression and Refinement. | Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell |
| 2023 | CVPR | Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. | Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotn |
| 2023 | WACV | TeST: Test-time Self-Training under Distribution Shift. | Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele |
| 2022 | CVPR | KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. | David Novotn, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi |
| 2022 | CVPR | Uniform Priors for Data-Efficient Learning. | Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg |
| 2022 | ICML | Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. | Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara |
| 2022 | UAI | Stackmix: a complementary mix algorithm. | John Chen, Samarth Sinha, Anastasios Kyrillidis |
| 2021 | AAAI | DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. | Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti |
| 2021 | CoRL | S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics. | Samarth Sinha, Ajay Mandlekar, Animesh Garg |
| 2021 | IROS | Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. | Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg |
| 2020 | ECCV | DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. | Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | ICML | Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. | Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | ICML | Small-GAN: Speeding up GAN Training using Core-Sets. | Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena |
| 2019 | CVPR | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. | Edgar Schnfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata |
| 2019 | CVPR | Generalized Zero-Shot Learning via Aligned Variational Autoencoders. | Edgar Schnfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata |
| 2019 | ICCV | Variational Adversarial Active Learning. | Samarth Sinha, Sayna Ebrahimi, Trevor Darrell |