Learning spatiotemporal features with 3d convolutional networks D Tran, L Bourdev, R Fergus, L Torresani, M Paluri Proceedings of the IEEE international conference on computer vision, 4489-4497, 2015 | 10407 | 2015 |
A closer look at spatiotemporal convolutions for action recognition D Tran, H Wang, L Torresani, J Ray, Y LeCun, M Paluri Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 3591 | 2018 |
Exploring the limits of weakly supervised pretraining D Mahajan, R Girshick, V Ramanathan, K He, M Paluri, Y Li, A Bharambe, ... Proceedings of the European conference on computer vision (ECCV), 181-196, 2018 | 1617 | 2018 |
Training convolutional networks with noisy labels S Sukhbaatar, J Bruna, M Paluri, L Bourdev, R Fergus arXiv preprint arXiv:1406.2080, 2014 | 749 | 2014 |
Panda: Pose aligned networks for deep attribute modeling N Zhang, M Paluri, MA Ranzato, T Darrell, L Bourdev Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 641 | 2014 |
Billion-scale semi-supervised learning for image classification IZ Yalniz, H Jégou, K Chen, M Paluri, D Mahajan arXiv preprint arXiv:1905.00546, 2019 | 506 | 2019 |
Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017 | 505 | 2017 |
C3D: generic features for video analysis D Tran, LD Bourdev, R Fergus, L Torresani, M Paluri CoRR, abs/1412.0767 2 (7), 8, 2014 | 492 | 2014 |
Detect-and-track: Efficient pose estimation in videos R Girdhar, G Gkioxari, L Torresani, M Paluri, D Tran Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 302 | 2018 |
Metric learning with adaptive density discrimination O Rippel, M Paluri, P Dollar, L Bourdev arXiv preprint arXiv:1511.05939, 2015 | 277 | 2015 |
Dsd: Dense-sparse-dense training for deep neural networks S Han, J Pool, S Narang, H Mao, E Gong, S Tang, E Elsen, P Vajda, ... arXiv preprint arXiv:1607.04381, 2016 | 245 | 2016 |
The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 220 | 2024 |
Improved road connectivity by joint learning of orientation and segmentation A Batra, S Singh, G Pang, S Basu, CV Jawahar, M Paluri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 208 | 2019 |
Beyond frontal faces: Improving person recognition using multiple cues N Zhang, M Paluri, Y Taigman, R Fergus, L Bourdev Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 202 | 2015 |
DDF-SAM: Fully distributed SLAM using constrained factor graphs A Cunningham, M Paluri, F Dellaert 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 192 | 2010 |
Large-scale visual relationship understanding J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny Proceedings of the AAAI conference on artificial intelligence 33 (01), 9185-9194, 2019 | 176 | 2019 |
What makes a video a video: Analyzing temporal information in video understanding models and datasets DA Huang, V Ramanathan, D Mahajan, L Torresani, M Paluri, L Fei-Fei, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 160 | 2018 |
Large scale holistic video understanding A Diba, M Fayyaz, V Sharma, M Paluri, J Gall, R Stiefelhagen, L Van Gool Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 156* | 2020 |
Deep end2end voxel2voxel prediction D Tran, L Bourdev, R Fergus, L Torresani, M Paluri Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 152 | 2016 |
Improving image classification with location context K Tang, M Paluri, L Fei-Fei, R Fergus, L Bourdev Proceedings of the IEEE international conference on computer vision, 1008-1016, 2015 | 152 | 2015 |