| Eco: Efficient convolutional network for online video understanding M Zolfaghari, K Singh, T Brox Proceedings of the European conference on computer vision (ECCV), 695-712, 2018 | 659 | 2018 |
| Orientation-boosted voxel nets for 3D object recognition N Sedaghat, M Zolfaghari, E Amiri, T Brox arXiv preprint arXiv:1604.03351, 2016 | 289 | 2016 |
| Chained multi-stream networks exploiting pose, motion, and appearance for action classification and detection M Zolfaghari, GL Oliveira, N Sedaghat, T Brox Proceedings of the IEEE International Conference on Computer Vision, 2904-2913, 2017 | 271 | 2017 |
| A comprehensive study of deep video action recognition Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ... arXiv preprint arXiv:2012.06567, 2020 | 251 | 2020 |
| Coot: Cooperative hierarchical transformer for video-text representation learning S Ging, M Zolfaghari, H Pirsiavash, T Brox Advances in neural information processing systems 33, 22605-22618, 2020 | 205 | 2020 |
| Crossclr: Cross-modal contrastive learning for multi-modal video representations M Zolfaghari, Y Zhu, P Gehler, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 167 | 2021 |
| Temporal Shift GAN for Large Scale Video Generation A Muñoz, M Zolfaghari, M Argus, T Brox Winter Conference on Applications of Computer Vision (WACV) 2021, 2020 | 44 | 2020 |
| Pssdl: Probabilistic semi-supervised dictionary learning B Babagholami-Mohamadabadi, A Zarghami, M Zolfaghari, MS Baghshah Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 23 | 2013 |
| 3D human pose estimation from image using couple sparse coding M Zolfaghari, A Jourabloo, SG Gozlou, B Pedrood, MT Manzuri-Shalmani Machine vision and applications 25, 1489-1499, 2014 | 14 | 2014 |
| Hybrid learning of optical flow and next frame prediction to boost optical flow in the wild N Sedaghat, M Zolfaghari, T Brox arXiv preprint arXiv:1612.03777, 2016 | 12 | 2016 |
| Bayesian Supervised Dictionary learning. B Babagholami-Mohamadabadi, A Jourabloo, M Zolfaghari, ... UAI Application Workshops, 11-19, 2013 | 10 | 2013 |
| Orientation-boosted voxel nets for 3d object recognition NS Alvar, M Zolfaghari, T Brox CoRR, abs/1604.03351 6, 7, 2016 | 8 | 2016 |
| Metric learning for graph based semi-supervised human pose estimation N Pourdamghani, HR Rabiee, M Zolfaghari Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 8 | 2012 |
| Learning representations for predicting future activities M Zolfaghari, Ö Çiçek, SM Ali, F Mahdisoltani, C Zhang, T Brox arXiv preprint arXiv:1905.03578, 2019 | 7 | 2019 |
| DropletAI: Deep Learning-Based Classification of Fluids with Different Ohnesorge Numbers during Non-Contact Dispensing P Sardana, M Zolfaghari, G Miotto, R Zengerle, T Brox, P Koltay, ... Fluids 8 (6), 183, 2023 | 2 | 2023 |
| Chained multi-stream networks exploiting pose, motion, and appearance for action classification and detection. CoRR abs/1704.00616 (2017) M Zolfaghari, GL Oliveira, N Sedaghat, T Brox arXiv preprint arXiv:1704.00616, 2017 | 2 | 2017 |
| Multiple Metric Learning for Graph Based Human Pose Estimation M Zolfaghari, MG Gozlou, MTM Shalmani Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | | 2013 |
| Temporal Shift GAN for Large Scale Video Generation–Supplementary Material– A Munoz, M Zolfaghari, M Argus, T Brox | | |
| Bayesian Supervised Dictionary learning: Supplementary Material B Babagholami-Mohamadabadi, A Jourabloo, M Zolfaghari, ... | | |
Thomas BroxUniversity of Freiburgcs.uni-freiburg.de의 이메일 확인됨