| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1358 | 2018 |
| Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs S Chandra, I Kokkinos Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 220 | 2016 |
| Learning to generate synthetic data via compositing S Tripathi, S Chandra, A Agrawal, A Tyagi, JM Rehg, V Chari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 101 | 2019 |
| Dense and low-rank gaussian crfs using deep embeddings S Chandra, N Usunier, I Kokkinos Proceedings of the IEEE international conference on computer vision, 5103-5112, 2017 | 98 | 2017 |
| Box2seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation V Kulharia, S Chandra, A Agrawal, P Torr, A Tyagi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 69 | 2020 |
| Deep spatio-temporal random fields for efficient video segmentation S Chandra, C Couprie, I Kokkinos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 64 | 2018 |
| Context aware 3D CNNs for brain tumor segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 37 | 2019 |
| Deep learning-based concurrent brain registration and tumor segmentation T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ... Frontiers in computational neuroscience, 17, 2020 | 36 | 2020 |
| Accurate human-limb segmentation in RGB-D images for intelligent mobility assistance robots S Chandra, S Tsogkas, I Kokkinos Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 19 | 2015 |
| Human joint angle estimation and gesture recognition for assistive robotic vision A Guler, N Kardaris, S Chandra, V Pitsikalis, C Werner, K Hauer, ... Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 17 | 2016 |
| Learning multiple non-linear sub-spaces using k-rbms S Chandra, S Kumar, CV Jawahar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 12 | 2013 |
| Generation of synthetic image data for computer vision models A Tyagi, AK Agrawal, S Chandra, VUK Chari, S Tripathi, J Rehg US Patent 10,860,836, 2020 | 9 | 2020 |
| Structured output prediction and learning for deep monocular 3d human pose estimation S Kinauer, RA Güler, S Chandra, I Kokkinos Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018 | 9 | 2018 |
| Learning hierarchical bag of words using naive bayes clustering S Chandra, S Kumar, CV Jawahar Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 9 | 2013 |
| Smartphone camera based assessment of adiposity: a validation study MD Majmudar, S Chandra, K Yakkala, S Kennedy, A Agrawal, M Sippel, ... NPJ Digital Medicine 5 (1), 79, 2022 | 8 | 2022 |
| Sparse discriminative Fisher vectors in visual classification V Garg, S Chandra, CV Jawahar Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012 | 8 | 2012 |
| Smartphone camera based assessment of adiposity: a multi-site validation study MD Majmudar, S Chandra, S Kennedy, A Agrawal, M Sippel, P Ramu, ... medRxiv, 2021.06. 10.21258595, 2021 | 3 | 2021 |
| Generation of synthetic image data using three-dimensional models S Tripathi, V Chari, A Tyagi, AK Agrawal, J Rehg, S Chandra US Patent 10,909,349, 2021 | 3 | 2021 |
| Surface based object detection in rgbd images S Chandra, G Chrysos, I Kokkinos British Machine Vision Conference, 2016 | 3 | 2016 |
| Partial Least Squares kernel for computing similarities between video sequences S Chandra, CV Jawahar Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 1 | 2012 |
