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 | 261 | 2020 |
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 | 68 | 2017 |
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 | 61 | 2017 |
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 | 58 | 2022 |
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 | 58 | 2018 |
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 | 55 | 2021 |
Multi-body non-rigid structure-from-motion S Kumar, Y Dai, H Li International Conference on 3D Vision (3DV), 148-156, 2016 | 55 | 2016 |
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 | 40 | 2023 |
Non-rigid structure from motion: Prior-free factorization method revisited S Kumar IEEE Winter Conference on Applications of Computer Vision, 51-60, 2020 | 36 | 2020 |
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 | 36 | 2019 |
Jumping manifolds: Geometry aware dense non-rigid structure from motion S Kumar IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5346-5355, 2019 | 35 | 2019 |
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 | 33 | 2022 |
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 | 32 | 2022 |
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 | 26 | 2022 |
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 | 25 | 2021 |
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 | 25 | 2014 |
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 | 23 | 2021 |
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers J Chen, G Li, S Kumar, B Ghanem, F Yu Robotics Science and Systems (RSS), 2023 | 22 | 2023 |
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 | 20 | 2012 |
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take C Liu, S Kumar, S Gu, R Timofte, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 18 | 2023 |