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ORCIDSuryansh Kumar 0001
Person information
- affiliation: Texas A&M University, College Station, TX, USA
- affiliation (2019 - 2023): ETH Zurich, Computer Vision Lab, Zurich, Switzerland
- affiliation (PhD 2019): Australian National University, Canberra, Australia
- affiliation (former): International Institute of Information Technology Hyderabad, Robotics Research Centre, Gachibowli, India
Other persons with the same name
- Suryansh Kumar 0002
![[0000-0002-2857-9355]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2857-9355")
— Indian Institute of Technology Kharagpur, West Bengal, India
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2020 – today
- 2024
[j6]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): 1310-1335 (2024)- [c27]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024 - [c26]René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. ICRA 2024: 4140-4146 - [i34]René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu:
ICGNet: A Unified Approach for Instance-Centric Grasping. CoRR abs/2401.09939 (2024) - [i33]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024) - [i32]Danilo Dordevic, Suryansh Kumar:
Evidential Transformers for Improved Image Retrieval. CoRR abs/2409.01082 (2024) - 2023
- [j5]Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure From Motion. IEEE Robotics Autom. Lett. 8(3): 1763-1770 (2023) - [c25]Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CVPR Workshops 2023: 1150-1159 - [c24]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CVPR 2023: 13208-13217 - [c23]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR 2023: 17346-17356 - [c22]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR 2023 - [c21]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 - [c20]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134 - [i31]Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure from Motion. CoRR abs/2302.00523 (2023) - [i30]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023) - [i29]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CoRR abs/2303.17094 (2023) - [i28]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR abs/2303.18164 (2023) - [i27]Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CoRR abs/2304.08924 (2023) - [i26]Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool:
Neural Implicit Dense Semantic SLAM. CoRR abs/2304.14560 (2023) - [i25]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. CoRR abs/2305.16925 (2023) - [i24]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images. CoRR abs/2311.04521 (2023) - 2022
- [j4]Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics Autom. Lett. 7(2): 1332-1339 (2022) - [j3]Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu:
Uncertainty Guided Policy for Active Robotic 3D Reconstruction Using Neural Radiance Fields. IEEE Robotics Autom. Lett. 7(4): 12070-12077 (2022) - [c19]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. BMVC 2022: 578 - [c18]Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRL 2022: 2294-2305 - [c17]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CVPR 2022: 11224-11233 - [c16]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601 - [c15]Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-rigid Structure from Motion. ECCV (2) 2022: 71-88 - [c14]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-sensor Depth Fusion. ECCV (32) 2022: 87-105 - [c13]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314 - [c12]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979 - [i23]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022) - [i22]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-Sensor Depth Fusion. CoRR abs/2204.03353 (2022) - [i21]Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-Rigid Structure from Motion. CoRR abs/2207.06262 (2022) - [i20]Soomin Lee, Le Chen, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu:
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields. CoRR abs/2209.08409 (2022) - [i19]Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. CoRR abs/2210.04233 (2022) - [i18]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. CoRR abs/2210.07670 (2022) - [i17]Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. CoRR abs/2212.01247 (2022) - 2021
- [j2]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1705-1717 (2021) - [c11]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814 - [c10]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. IJCAI 2021: 3002-3009 - [i16]Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool:
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. CoRR abs/2101.06658 (2021) - [i15]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CoRR abs/2106.03959 (2021) - [i14]Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. CoRR abs/2108.05246 (2021) - [i13]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR abs/2110.05594 (2021) - [i12]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR abs/2110.05621 (2021) - 2020
- [c9]Suryansh Kumar:
Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited. WACV 2020: 51-60 - [i11]Suryansh Kumar, Luc Van Gool, Carlos E. P. de Oliveira, Anoop Cherian, Yuchao Dai, Hongdong Li:
Dense Non-Rigid Structure from Motion: A Manifold Viewpoint. CoRR abs/2006.09197 (2020) - [i10]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. CoRR abs/2010.14535 (2020) - [i9]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CoRR abs/2012.06777 (2020)
2010 – 2019
- 2019
- [c8]Suryansh Kumar:
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion. CVPR 2019: 5346-5355 - [i8]Suryansh Kumar:
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion. CoRR abs/1902.01077 (2019) - [i7]Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li:
A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene. CoRR abs/1902.03791 (2019) - [i6]Suryansh Kumar:
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited. CoRR abs/1902.10274 (2019) - [i5]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. CoRR abs/1911.09092 (2019) - 2018
- [c7]Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li:
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective. CVPR 2018: 254-263 - [i4]Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li:
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective. CoRR abs/1803.00233 (2018) - 2017
- [j1]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion. Pattern Recognit. 71: 428-443 (2017) - [c6]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames. ICCV 2017: 4659-4667 - [i3]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion. CoRR abs/1705.04916 (2017) - [i2]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames. CoRR abs/1708.04398 (2017) - 2016
- [c5]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Multi-Body Non-Rigid Structure-from-Motion. 3DV 2016: 148-156 - [i1]Suryansh Kumar, Yuchao Dai, Hongdong Li:
Multi-body Non-rigid Structure-from-Motion. CoRR abs/1607.04515 (2016) - 2014
- [c4]Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna:
Small Object Discovery and Recognition Using Actively Guided Robot. ICPR 2014: 4334-4339 - [c3]Suryansh Kumar, M. Siva Karthik, K. Madhava Krishna:
Markov Random Field based small obstacle discovery over images. ICRA 2014: 494-500 - [c2]Sarthak Upadhyay, Suryansh Kumar, K. Madhava Krishna:
CRF Based Frontier Detection using Monocular Camera. ICVGIP 2014: 69:1-69:7 - 2012
- [c1]Suryansh Kumar, Ayush Dewan, K. Madhava Krishna:
A Bayes filter based adaptive floor segmentation with homography and appearance cues. ICVGIP 2012: 54
Coauthor Index
aka: Carlos E. P. de Oliveira
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