Online real-time multiple spatiotemporal action localisation and prediction G Singh, S Saha, M Sapienza, PHS Torr, F Cuzzolin Proceedings of the IEEE International Conference on Computer Vision, 3637-3646, 2017 | 349 | 2017 |
Online real-time multiple spatiotemporal action localisation and prediction G Singh, S Saha, M Sapienza, PHS Torr, F Cuzzolin Proceedings of the IEEE International Conference on Computer Vision, 3637-3646, 2017 | 349 | 2017 |
Deep learning for detecting multiple space-time action tubes in videos S Saha, G Singh, M Sapienza, PHS Torr, F Cuzzolin arXiv preprint arXiv:1608.01529, 2016 | 244 | 2016 |
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation L Hoyer, D Dai, Y Chen, A Köring, S Saha, L Van Gool arXiv preprint arXiv:2012.10782, 2020 | 88 | 2020 |
A real-time monocular vision-based frontal obstacle detection and avoidance for low cost UAVs in GPS denied environment S Saha, A Natraj, S Waharte 2014 IEEE International Conference on Aerospace Electronics and Remote …, 2014 | 79 | 2014 |
Amtnet: Action-micro-tube regression by end-to-end trainable deep architecture S Saha, G Singh, F Cuzzolin Proceedings of the IEEE International Conference on Computer Vision, 4414-4423, 2017 | 77 | 2017 |
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ... arXiv preprint arXiv:2007.12540, 2020 | 75 | 2020 |
Road: The road event awareness dataset for autonomous driving G Singh, S Akrigg, M Di Maio, V Fontana, RJ Alitappeh, S Saha, ... arXiv preprint arXiv:2102.11585, 2021 | 74 | 2021 |
Metric learning for Parkinsonian identification from IMU gait measurements F Cuzzolin, M Sapienza, P Esser, S Saha, MM Franssen, J Collett, ... Gait & posture 54, 127-132, 2017 | 57 | 2017 |
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation S Saha, A Obukhov, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ... arXiv preprint arXiv:2105.07830, 2021 | 54 | 2021 |
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing S Saha, W Xu, M Kanakis, S Georgoulis, Y Chen, D Pani Paudel, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 42 | 2020 |
Predicting Action Tubes G Singh, S Saha, F Cuzzoli https://arxiv.org/pdf/1808.07712.pdf, 2018 | 27 | 2018 |
Incremental Tube Construction for Human Action Detection HS Behl, M Sapienza, G Singh, S Saha, F Cuzzolin, PHS Torr arXiv preprint arXiv:1704.01358, 2017 | 23 | 2017 |
Two-Stream AMTnet for Action Detection S Saha, G Singh, F Cuzzolin arXiv preprint arXiv:2004.01494, 2020 | 17 | 2020 |
Unsupervised deep representations for learning audience facial behaviors S Saha, R Navarathna, L Helminger, RM Weber Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 15 | 2018 |
Tramnet-transition matrix network for efficient action tube proposals G Singh, S Saha, F Cuzzolin Asian Conference on Computer Vision, 420-437, 2018 | 12 | 2018 |
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation S Saha, L Hoyer, A Obukhov, D Dai, L Van Gool arXiv preprint arXiv:2304.14291, 2023 | 11 | 2023 |
Spatio-Temporal Action Detection Under Large Motion G Singh, V Choutas, S Saha, F Yu, L Van Gool arXiv preprint arXiv:2209.02250, 2022 | 10 | 2022 |
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing A Panwar, P Singh, S Saha, DP Paudel, L Van Gool arXiv preprint arXiv:2105.08463, 2021 | 9 | 2021 |
Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos S Saha, G Singh, M Sapienza, PHS Torr, F Cuzzolin arXiv preprint arXiv:1707.07213, 2017 | 7 | 2017 |