| 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 | 11093 | 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 | 3967 | 2018 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv preprint arXiv:2407.21783, 2024 | 3730 | 2024 |
| 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 | 1716 | 2018 |
| Training convolutional networks with noisy labels S Sukhbaatar, J Bruna, M Paluri, L Bourdev, R Fergus arXiv preprint arXiv:1406.2080, 2014 | 781 | 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 | 650 | 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 | 539 | 2019 |
| Convnet architecture search for spatiotemporal feature learning D Tran, J Ray, Z Shou, SF Chang, M Paluri arXiv preprint arXiv:1708.05038, 2017 | 528 | 2017 |
| C3D: Generic Features for Video Analysis D Tran, L Bourdev, R Fergus, L Torresani, M Paluri http://arxiv-web3.library.cornell.edu/abs/1412.0767, 2014 | 508 | 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 | 313 | 2018 |
| Metric learning with adaptive density discrimination O Rippel, M Paluri, P Dollar, L Bourdev arXiv preprint arXiv:1511.05939, 2015 | 286 | 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 | 260 | 2016 |
| 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 | 229 | 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 | 210 | 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 | 200 | 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 | 184 | 2019 |
| 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 | 172* | 2020 |
| 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 | 172 | 2018 |
| 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 | 159 | 2015 |
| 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 | 153 | 2016 |
Lubomir BourdevWaveOne, Inc.Verified email at wave.one
