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Suryansh Kumar
Suryansh Kumar
Assistant Professor, Visual Computing, Texas A&M University | ETH Zurich
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
Impact of COVID-19 on lifestyle-related behaviours-a cross-sectional audit of responses from nine hundred and ninety-five participants from India
S Chopra, P Ranjan, V Singh, S Kumar, M Arora, MS Hasan, R Kasiraj, ...
Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14 (6), 2021-2030, 2020
2402020
Monocular dense 3d reconstruction of a complex dynamic scene from two perspective frames
S Kumar, Y Dai, H Li
IEEE International Conference on Computer Vision (ICCV), 4649-4657, 2017
672017
Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion
S Kumar, Y Dai, H Li
Pattern Recognition 71, 428-443, 2017
592017
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
S Kumar, A Cherian, Y Dai, H Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 254-263, 2018
572018
Multi-body non-rigid structure-from-motion
S Kumar, Y Dai, H Li
International Conference on 3D Vision (3DV), 148-156, 2016
552016
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
B Kaya, S Kumar, C Oliveira, V Ferrari, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3804-3814, 2021
502021
Uncertainty guided policy for active robotic 3d reconstruction using neural radiance fields
S Lee, L Chen, J Wang, A Liniger, S Kumar, F Yu
IEEE Robotics and Automation Letters 7 (4), 12070-12077, 2022
392022
Non-rigid structure from motion: Prior-free factorization method revisited
S Kumar
IEEE Winter Conference on Applications of Computer Vision, 51-60, 2020
352020
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
S Kumar, Y Dai, H Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019
352019
Jumping manifolds: Geometry aware dense non-rigid structure from motion
S Kumar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5346-5355, 2019
352019
Va-depthnet: A variational approach to single image depth prediction
C Liu, S Kumar, S Gu, R Timofte, L Van Gool
arXiv preprint arXiv:2302.06556, 2023
292023
Neural radiance fields approach to deep multi-view photometric stereo
B Kaya, S Kumar, F Sarno, V Ferrari, L Van Gool
IEEE Winter Conference on Applications of Computer Vision, 1965-1977, 2022
272022
Uncertainty-Aware Deep Multi-View Photometric Stereo
B Kaya, S Kumar, C Oliveira, V Ferrari, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12601-12611, 2022
242022
Markov Random Field based small obstacle discovery over images
S Kumar, MS Karthik, KM Krishna
IEEE International Conference on Robotics and Automation (ICRA), 494-500, 2014
242014
Trilevel neural architecture search for efficient single image super-resolution
Y Wu, Z Huang, S Kumar, RS Sukthanker, R Timofte, L Van Gool
arXiv preprint arXiv:2101.06658, 2021
232021
A real-time online learning framework for joint 3d reconstruction and semantic segmentation of indoor scenes
D Menini, S Kumar, MR Oswald, E Sandström, C Sminchisescu, ...
IEEE Robotics and Automation Letters 7 (2), 1332-1339, 2021
202021
A bayes filter based adaptive floor segmentation with homography and appearance cues
S Kumar, A Dewan, KM Krishna
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012
202012
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
T Fischer, YH Yang, S Kumar, M Sun, F Yu
6th Annual Conference on Robot Learning (CoRL), 2022
182022
Region Based Collaborative Angle of Arrival Localization for Wireless Sensor Networks with Maximum Range Information
SB Kotwal, S Verma, Suryansh, A Sharma
Computational Intelligence and Communication Networks (CICN), 2010 …, 2010
162010
Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation
S Kumar, RS Ghorakavi, Y Dai, H Li
arXiv preprint arXiv:1902.03791, 2019
152019
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Articles 1–20