Suryansh Kumar

72 papers A* 13A 5B 1Misc 1Journal 45Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Time-Archival Camera Virtualization for Sports and Visual Performances. CoRR Yunxiao Zhang, William Stone, Suryansh Kumar
2026	J	`jnl`	Time-archival camera virtualization for sports and visual performances. Comput. Vis. Image Underst. Yunxiao Zhang, William Stone, Suryansh Kumar
2025	J	`jnl`	Interactive Video Generation via Domain Adaptation. CoRR Ishaan Rawal, Suryansh Kumar
2025	J	`jnl`	Mobile Robotic Multi-View Photometric Stereo. CoRR Suryansh Kumar
2025	J	`jnl`	Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks. CoRR Fikrican Özgür, René Zurbrügg, Suryansh Kumar
2024	J	`jnl`	Evidential Transformers for Improved Image Retrieval. CoRR Danilo Dordevic, Suryansh Kumar
2024	A*	`conf`	ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024	J	`jnl`	ICGNet: A Unified Approach for Instance-Centric Grasping. CoRR René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
2024	J	`jnl`	Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. Int. J. Comput. Vis. Nishant Jain, Suryansh Kumar, Luc Van Gool
2024	A*	`conf`	Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
2024	J	`jnl`	Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
2023	A*	`conf`	Enhanced Stable View Synthesis. CVPR Nishant Jain, Suryansh Kumar, Luc Van Gool
2023	J	`jnl`	Enhanced Stable View Synthesis. CoRR Nishant Jain, Suryansh Kumar, Luc Van Gool
2023	—	`conf`	How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. Robotics: Science and Systems Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu
2023	J	`jnl`	How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. CoRR Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu
2023	J	`jnl`	Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images. CoRR Nishant Jain, Suryansh Kumar, Luc Van Gool
2023	A	`conf`	Multi-View Photometric Stereo Revisited. WACV Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool
2023	J	`jnl`	Neural Implicit Dense Semantic SLAM. CoRR Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool
2023	—	`conf`	Quantum Annealing for Single Image Super-Resolution. CVPR Workshops Han Yao Choong, Suryansh Kumar, Luc Van Gool
2023	J	`jnl`	Quantum Annealing for Single Image Super-Resolution. CoRR Han Yao Choong, Suryansh Kumar, Luc Van Gool
2023	A*	`conf`	Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Uncertainty-Driven Dense Two-View Structure From Motion. IEEE Robotics Autom. Lett. Weirong Chen, Suryansh Kumar, Fisher Yu
2023	J	`jnl`	Uncertainty-Driven Dense Two-View Structure from Motion. CoRR Weirong Chen, Suryansh Kumar, Fisher Yu
2023	A*	`conf`	VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
2023	J	`jnl`	VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
2022	J	`jnl`	A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics Autom. Lett. Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool
2022	Misc	`conf`	CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRL Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu
2022	J	`jnl`	CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRR Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu
2022	A*	`conf`	Generative Flows with Invertible Attentions. CVPR Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Learning Online Multi-Sensor Depth Fusion. CoRR Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2022	—	`conf`	Learning Online Multi-sensor Depth Fusion. ECCV (32) Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2022	J	`jnl`	Multi-View Photometric Stereo Revisited. CoRR Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool
2022	A	`conf`	Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool
2022	A	`conf`	Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool
2022	J	`jnl`	Organic Priors in Non-Rigid Structure from Motion. CoRR Suryansh Kumar, Luc Van Gool
2022	—	`conf`	Organic Priors in Non-rigid Structure from Motion. ECCV (2) Suryansh Kumar, Luc Van Gool
2022	A	`conf`	Robustifying the Multi-Scale Representation of Neural Radiance Fields. BMVC Nishant Jain, Suryansh Kumar, Luc Van Gool
2022	J	`jnl`	Robustifying the Multi-Scale Representation of Neural Radiance Fields. CoRR Nishant Jain, Suryansh Kumar, Luc Van Gool
2022	J	`jnl`	Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. IEEE Robotics Autom. Lett. Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
2022	J	`jnl`	Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields. CoRR Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
2022	A*	`conf`	Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool
2022	J	`jnl`	Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool
2021	J	`jnl`	A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. CoRR Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool
2021	J	`jnl`	Generative Flows with Invertible Attentions. CoRR Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool
2021	J	`jnl`	Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool
2021	A*	`conf`	Neural Architecture Search of SPD Manifold Networks. IJCAI Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool
2021	J	`jnl`	Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool
2021	J	`jnl`	Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. IEEE Trans. Pattern Anal. Mach. Intell. Suryansh Kumar, Yuchao Dai, Hongdong Li
2021	J	`jnl`	Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. CoRR Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool
2021	A*	`conf`	Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool
2020	J	`jnl`	Dense Non-Rigid Structure from Motion: A Manifold Viewpoint. CoRR Suryansh Kumar, Luc Van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li
2020	J	`jnl`	Neural Architecture Search of SPD Manifold Networks. CoRR Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool
2020	A	`conf`	Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited. WACV Suryansh Kumar
2020	J	`jnl`	Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CoRR Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool
2019	J	`jnl`	A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene. CoRR Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li
2019	J	`jnl`	A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited. CoRR Suryansh Kumar
2019	A*	`conf`	Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion. CVPR Suryansh Kumar
2019	J	`jnl`	Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion. CoRR Suryansh Kumar
2019	J	`jnl`	Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. CoRR Suryansh Kumar, Yuchao Dai, Hongdong Li
2018	A*	`conf`	Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective. CVPR Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li
2018	J	`jnl`	Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective. CoRR Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li
2017	A*	`conf`	Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames. ICCV Suryansh Kumar, Yuchao Dai, Hongdong Li
2017	J	`jnl`	Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames. CoRR Suryansh Kumar, Yuchao Dai, Hongdong Li
2017	J	`jnl`	Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion. CoRR Suryansh Kumar, Yuchao Dai, Hongdong Li
2017	J	`jnl`	Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion. Pattern Recognit. Suryansh Kumar, Yuchao Dai, Hongdong Li
2016	—	`conf`	Multi-Body Non-Rigid Structure-from-Motion. 3DV Suryansh Kumar, Yuchao Dai, Hongdong Li
2016	J	`jnl`	Multi-body Non-rigid Structure-from-Motion. CoRR Suryansh Kumar, Yuchao Dai, Hongdong Li
2014	—	`conf`	CRF Based Frontier Detection using Monocular Camera. ICVGIP Sarthak Upadhyay, Suryansh Kumar, K. Madhava Krishna
2014	A*	`conf`	Markov Random Field based small obstacle discovery over images. ICRA Suryansh Kumar, M. Siva Karthik, K. Madhava Krishna
2014	B	`conf`	Small Object Discovery and Recognition Using Actively Guided Robot. ICPR Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna
2012	—	`conf`	A Bayes filter based adaptive floor segmentation with homography and appearance cues. ICVGIP Suryansh Kumar, Ayush Dewan, K. Madhava Krishna