Suryansh Kumar

According to our database, Suryansh Kumar authored at least 40 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Int. J. Comput. Vis., April, 2024

Evidential Transformers for Improved Image Retrieval.

Danilo Dordevic, Suryansh Kumar

CoRR, 2024

ICGNet: A Unified Approach for Instance-Centric Grasping.

René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stereo Risk: A Continuous Modeling Approach to Stereo Matching.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Uncertainty-Driven Dense Two-View Structure From Motion.

Weirong Chen, Suryansh Kumar, Fisher Yu

IEEE Robotics Autom. Lett., March, 2023

Neural Implicit Dense Semantic SLAM.

Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool

CoRR, 2023

Multi-View Photometric Stereo Revisited.

Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.

Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

VA-DepthNet: A Variational Approach to Single Image Depth Prediction.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take.

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhanced Stable View Synthesis.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Quantum Annealing for Single Image Super-Resolution.

Han Yao Choong, Suryansh Kumar, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes.

Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool

IEEE Robotics Autom. Lett., 2022

Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields.

Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu

IEEE Robotics Autom. Lett., 2022

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo.

Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo.

Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Online Multi-sensor Depth Fusion.

Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Organic Priors in Non-rigid Structure from Motion.

Suryansh Kumar, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Flows with Invertible Attentions.

Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uncertainty-Aware Deep Multi-View Photometric Stereo.

Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion.

Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu

Proceedings of the Conference on Robot Learning, 2022

Robustifying the Multi-Scale Representation of Neural Radiance Fields.

Nishant Jain, Suryansh Kumar, Luc Van Gool

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene.

Suryansh Kumar, Yuchao Dai, Hongdong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution.

Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool

CoRR, 2021

Neural Architecture Search of SPD Manifold Networks.

Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces.

Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Dense Non-Rigid Structure from Motion: A Manifold Viewpoint.

Suryansh Kumar, Luc Van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li

CoRR, 2020

Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited.

Suryansh Kumar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited.

Suryansh Kumar

CoRR, 2019

A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene.

Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li

CoRR, 2019

Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion.

Suryansh Kumar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective.

Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion.

Suryansh Kumar, Yuchao Dai, Hongdong Li

Pattern Recognit., 2017

Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion.

Suryansh Kumar, Yuchao Dai, Hongdong Li

CoRR, 2017

Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames.

Suryansh Kumar, Yuchao Dai, Hongdong Li

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Multi-Body Non-Rigid Structure-from-Motion.

Suryansh Kumar, Yuchao Dai, Hongdong Li

Proceedings of the Fourth International Conference on 3D Vision, 2016

2014

CRF Based Frontier Detection using Monocular Camera.

Sarthak Upadhyay, Suryansh Kumar, K. Madhava Krishna

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Markov Random Field based small obstacle discovery over images.

Suryansh Kumar, M. Siva Karthik, K. Madhava Krishna

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Small Object Discovery and Recognition Using Actively Guided Robot.

Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012

A Bayes filter based adaptive floor segmentation with homography and appearance cues.

Suryansh Kumar, Ayush Dewan, K. Madhava Krishna

Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012