Suryansh Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
12
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Stereo Risk: A Continuous Modeling Approach to Stereo Matching. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool |
| 2024 | ICRA | ICGNet: A Unified Approach for Instance-Centric Grasping. | Ren Zurbrgg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu |
| 2023 | CVPR | Quantum Annealing for Single Image Super-Resolution. | Han Yao Choong, Suryansh Kumar, Luc Van Gool |
| 2023 | CVPR | Enhanced Stable View Synthesis. | Nishant Jain, Suryansh Kumar, Luc Van Gool |
| 2023 | CVPR | Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | VA-DepthNet: A Variational Approach to Single Image Depth Prediction. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2023 | SAC | Topic Aware Influential Member Detection in Meetup. | Arpan Dam, Suryansh Kumar, Debarati Bhattacharjee, Sayan Pathak, Bivas Mitra |
| 2023 | WACV | Multi-View Photometric Stereo Revisited. | Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2022 | BMVC | Robustifying the Multi-Scale Representation of Neural Radiance Fields. | Nishant Jain, Suryansh Kumar, Luc Van Gool |
| 2022 | CoRL | CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. | Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu |
| 2022 | CVPR | Uncertainty-Aware Deep Multi-View Photometric Stereo. | Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2022 | CVPR | Generative Flows with Invertible Attentions. | Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool |
| 2022 | ECCV | Organic Priors in Non-rigid Structure from Motion. | Suryansh Kumar, Luc Van Gool |
| 2022 | ECCV | Learning Online Multi-sensor Depth Fusion. | Erik Sandstrm, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool |
| 2022 | WACV | Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. | Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool |
| 2022 | WACV | Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. | Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool |
| 2021 | CVPR | Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. | Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2021 | IJCAI | Neural Architecture Search of SPD Manifold Networks. | Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool |
| 2020 | WACV | Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited. | Suryansh Kumar |
| 2019 | CVPR | Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion. | Suryansh Kumar |
| 2018 | CVPR | Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective. | Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li |
| 2017 | ICCV | Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames. | Suryansh Kumar, Yuchao Dai, Hongdong Li |
| 2014 | ICPR | Small Object Discovery and Recognition Using Actively Guided Robot. | Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna |
| 2014 | ICRA | Markov Random Field based small obstacle discovery over images. | Suryansh Kumar, M. Siva Karthik, K. Madhava Krishna |