Suryansh Kumar

Conference Proceedings

[ECCV 24] Evidential Transformers for Improved Image Retrieval

Authors : Danilo Dordevic, Suryansh Kumar
Third Workshop on Uncertainty Quantification for Computer Vision
European Conference on Computer Vision (ECCV), 2024, Milano, Italy

[ICML 24] Stereo Risk: A Continuous Modeling Approach to Stereo Matching

Authors : Ce Liu*, Suryansh Kumar*, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool (Oral Presentation, Top 1.5% of the papers)
*Equal Contribution
International Conference on Machine Learning, PMLR, 2024, Vienna, Austria

[ICRA 24] ICGNet: A Unified Approach for Instance-Centric Grasping

Authors : René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter and others
International Conference on Robotics and Automation, IEEE, 2024, Yokohama, Japan

[RSS 23] How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers

Authors: Junting Chen*, Guohao Li*, Suryansh Kumar, and others
Robotics Science and Systems, RSS Foundation, 2023, Daegu, South Korea.

[CVPR 23] Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Authors: Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2023, Vancouver, Canada.

[CVPR 23] Enhanced Stable View-Synthesis

Authors: Nishant Jain*, Suryansh Kumar*, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2023, Vancouver, Canada.
*Equal Contribution

[CVPR 23] Quantum Annealing for Single Image Super-Resolution

Authors: Han Yao Choong, Suryansh Kumar, Luc Van Gool. (Oral Presentation)
8th New Trends in Image Restoration and Enhancement Workshop and Challenges (NTIRE).
Conference on Computer Vision and Pattern Recognition, IEEE, 2023, Vancouver, Canada.

[ICLR 23] VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Authors: Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool. (Spotlight Oral Presentation)
International Conference on Learning Representations, 2023, Kigali, Rwanda.

[IROS 23] Uncertainty-Driven Dense Two-View Structure from Motion

Authors: Weirong Chen, Suryansh Kumar, and others (Oral Presentation)
International Conference on Intelligent Robots and Systems, IEEE/RSJ, 2023, Detroit, USA.

[ICRA 23] Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Authors: Soomin Lee, Le Chen, Jiahao Wang, Alex Liniger, Suryansh Kumar, and others. (Oral Presentation)
International Conference on Robotics and Automation, IEEE, 2023, London, UK.

[WACV 23] Multi-View Photometric Stereo Revisited

Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Computer Vision, IEEE, 2023, Hawaii, USA.

[BMVC 22] Robustifying the Multi-Scale Representation of Neural Radiance Fields

Authors: Nishant Jain, Suryansh Kumar, Luc Van Gool. (Oral Presentation)
British Machine Vision Conference, 2022, London, UK.

[CoRL 22] CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion

Authors: Yung-Hsu Yang, Tobias Fischer, Suryansh Kumar, and others
Conference on Robot Learning, 2022, Auckland, New Zealand.

[ECCV 22] Organic Priors in Non-Rigid Structure from Motion.

Authors: Suryansh Kumar, Luc Van Gool. (Oral Presentation, Top 2.7% of the papers)
European Conference on Computer Vision, 2022, Tel-Aviv, Israel.

[ECCV 22] Learning Online Multi-Sensor Depth Fusion

Authors: Erik Sandström, Martin Oswald, Suryansh Kumar, Silvan W, and others
European Conference on Computer Vision, 2022, Tel-Aviv, Israel.

[CVPR 22] Uncertainty Aware Deep Multi-View Photometric Stereo

Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2022, New Orleans, USA.

[CVPR 22] Generative Flows with Invertible Attentions

Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2022, New Orleans, USA.

[CVPR 22] Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

Authors: Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sukthanker, Radu Timofte, Luc Van Gool.
Third Workshop on Neural Architecture Search: 2nd Lightweight NAS Challenge.
Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022, New Orleans, USA.

[ICRA 22] A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Seg. of Indoor Scenes

Authors: Davide Menini, Suryansh Kumar, M. Oswald, E. Sandstrom, C. Sminchisescu, Luc Van Gool. (Oral Presentation)
International Conference on Robotics and Automation, IEEE, 2022, Philadelphia, USA.

[WACV 22] Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo.

Authors: Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Applications of Computer Vision, IEEE, 2022, Hawaii, USA.

[WACV 22] Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo.

Authors: Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool.
Winter Conference on Applications of Computer Vision, IEEE, 2022, Hawaii, USA.

[CVPR 21] Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

Authors: Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, Luc Van Gool.
Conference on Computer Vision and Pattern Recognition, IEEE, 2021, Nashville, USA.

[IJCAI 21] Neural Architecture Search of SPD Manifold Networks

Authors: Rhea Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron. E, Yan Wu, Luc Van Gool.
International Joint Conference on Artificial Intelligence, 2021, Montreal, Canada.

[WACV 20] Non-rigid Structure from Motion: Prior-Free Factorization Method Revisited

Author: Suryansh Kumar.
Winter Conference on Applications of Computer Vision, IEEE, 2020, Colorado, USA.

[CVPR 19] Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion

Author: Suryansh Kumar.
Conference on Computer Vision and Pattern Recognition, IEEE, 2019, CA, USA.
Also invited for a talk at DynaVis 2019. (Oral Presentation)

[CVPR 18] Scalable Dense Non-Rigid Structure from Motion: A Grassmannian Perspective

Authors: Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li.
Conference on Computer Vision and Pattern Recognition, IEEE, 2018, Utah, USA.

[ICCV 17] Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames

Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
International Conference on Computer Vision, IEEE, 2017, Venice, Italy.

[CVPR 17] Non-Rigid Structure from Motion Challenge 2017 (Winner)

Winners: Suryansh Kumar, Yuchao Dai, Hongdong Li.
Conference on Computer Vision and Pattern Recognition, 2017, Honolulu, Hawaii, USA.
Sponsored by: Disney Research.

[3DV 16] Multi-body Non-rigid Structure from Motion

Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
International Conference on 3D Vision, IEEE, 2016, Stanford University, California.

[ICRA 14] Markov Random Field based Small Obstacle Discovery over Images

Authors: Suryansh Kumar, Siva Karthik M, K Madhava Krishna.
International Conference on Robotics and Automation, IEEE, 2014, Hong Kong, China.

Journals and Thesis

[IJCV 24] Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images

Authors : Nishant Jain, Suryansh Kumar*, Luc Van Gool. (Invited)
International Journal of Computer Vision (IJCV), Springer, 2024, IF: 19.5

[RAL 23] Uncertainty-Driven Dense Two-View Structure from Motion

Authors: Weirong Chen, Suryansh Kumar, and others
Robotics and Automation Letter (RAL), IEEE, 2023.

[RAL 22] Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Authors: Soomin Lee, Le Chen, Jiahao Wang, Alex Liniger, Suryansh Kumar, and others
Robotics and Automation Letter (RAL), IEEE, 2022.

[RAL 22] A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Seg. of Indoor Scenes

Authors: Davide Menini, Suryansh Kumar, Martin R Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool.
Robotics and Automation Letter (RAL), IEEE, 2022.

[T-PAMI 21] Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene

Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
Transactions on Pattern and Machine Intelligence (T-PAMI), IEEE, 2021.

[Pattern Recognition 17] Spatial-Temporal Union of Subspaces for Multi body Non-rigid Structure from Motion

Authors: Suryansh Kumar, Yuchao Dai, Hongdong Li.
Pattern Recognition Journal, 2017, Elsevier

[PhD Thesis 19] Non-rigid Structure from Motion

Author: Suryansh Kumar
The Australian National University, 2019.

Preprints

Neural Implicit Dense Semantic SLAM

Authors: Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool.
arXiv, Preprint 2023.

Dense Non-Rigid Structure from Motion: A Manifold Viewpoint

Authors: Suryansh Kumar, Luc Van Gool, Carlos Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li.
arXiv, Preprint 2020.

Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation

Authors: Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li.