Следене
Suryansh Kumar
Suryansh Kumar
Assistant Professor, Visual Computing, Texas A&M University | ETH Zurich
Потвърден имейл адрес: tamu.edu - Начална страница
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Позовавания
Позовавания
Година
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
2492020
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
612017
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
582018
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
522021
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
472022
Non-rigid structure from motion: Prior-free factorization method revisited
S Kumar
IEEE Winter Conference on Applications of Computer Vision, 51-60, 2020
362020
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
322023
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
292022
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
292022
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
222021
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
202022
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
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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