| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 1095* | 2016 |
| Tracking Pedestrian Heads in Dense Crowd R Sundararaman, CDA Braga, E Marchand, J Pettré IEEE/CVF Int. Conf. on Computer Vision and Pattern Recognition, CVPR 2021, 2021 | 94 | 2021 |
| Solving inverse computational imaging problems using deep pixel-level prior A Dave, AK Vadathya, R Subramanyam, R Baburajan, K Mitra IEEE Transactions on Computational Imaging 5 (1), 37-51, 2018 | 33 | 2018 |
| Implicit field supervision for robust non-rigid shape matching R Sundararaman, G Pai, M Ovsjanikov European Conference on Computer Vision, 344-362, 2022 | 15 | 2022 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688. Project URL http://github. com/Theano …, 2016 | 11 | 2016 |
| Reduced representation of deformation fields for effective non-rigid shape matching RS Sundararaman, R Marin, E Rodola, M Ovsjanikov Advances in Neural Information Processing Systems 35, 10405-10420, 2022 | 7 | 2022 |
| Self-Supervised Dual Contouring R Sundararaman, R Klokov, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching: Supplementary Material R Sundararaman, R Marin, E Rodola, M Ovsjanikov | | |
| Supplementary: Implicit Field Supervision For Robust Non-Rigid Shape Matching R Sundararaman, G Pai, M Ovsjanikov | | |
| Computational Imaging Methods and Models Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors … R Obermeier, JA Martinez-Lorenzo, A Dave, AK Vadathya, ... | | |
