Suryansh Kumar

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Partially Occluded

Top Venues

Int. J. Comput. Vis.

Publications

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR (2024)
Nishant Jain, Suryansh Kumar, Luc Van Gool
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. Int. J. Comput. Vis. 132 (4) (2024)
René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA (2024)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR (2023)
Nishant Jain, Suryansh Kumar, Luc Van Gool
Enhanced Stable View Synthesis. CVPR (2023)
Han Yao Choong, Suryansh Kumar, Luc Van Gool
Quantum Annealing for Single Image Super-Resolution. CVPR Workshops (2023)
Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. Robotics: Science and Systems (2023)
Nishant Jain, Suryansh Kumar, Luc Van Gool
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images. CoRR (2023)