| SiamMOT: Siamese Multi-Object Tracking B Shuai, A Berneshawi, X Li, D Modolo, J Tighe IEEE Computer Vision and Pattern Recognition (CVPR), 2021 | 167 | 2021 |
| Do semantic parts emerge in Convolutional Neural Networks? A Gonzalez-Garcia, D Modolo, V Ferrari International Journal of Computer Vision (IJCV), 2017 | 153 | 2017 |
| Combining detection and tracking for human pose estimation in videos M Wang, J Tighe, D Modolo IEEE Computer Vision and Patter Recognition (CVPR), 2020 | 138 | 2020 |
| TubeR: Tubelet transformer for video action detection J Zhao, Y Zhang, X Li, H Chen, B Shuai, M Xu, C Liu, K Kundu, Y Xiong, ... IEEE Computer Vision and Pattern Recognition (CVPR), 2022 | 89 | 2022 |
| Action Recognition with Spatial-Temporal Discriminative Filter Banks B Martinez, D Modolo, Y Xiong, J Tighe International Conference on Computer Vision (ICCV), 2019 | 89 | 2019 |
| Semi-supervised vision transformers at scale Z Cai, A Ravichandran, P Favaro, M Wang, D Modolo, R Bhotika, Z Tu, ... Conference on Neural Information Processing Systems (NeurIPS), 2022 | 54 | 2022 |
| What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions ASM Iftekhar, H Chen, K Kundu, X Li, J Tighe, D Modolo IEEE Computer Vision and Pattern Recognition (CVPR), 2022 | 49 | 2022 |
| Explorative visualization and analysis of a social network for arts: the case of deviantART B Buter, N Dijkshoorn, D Modolo, Q Nguyen, S van Noort, B van de Poel, ... Journal of Convergence Volume 2 (1), 2011 | 44 | 2011 |
| Multi-object tracking with siamese track-rcnn B Shuai, AG Berneshawi, D Modolo, J Tighe arXiv preprint arXiv:2004.07786, 2020 | 42 | 2020 |
| MaCLR: Motion-aware Contrastive Learning of Representations for Videos F Xiao, J Tighe, D Modolo European Conference on Computer Vision (ECCV), 2022 | 32* | 2022 |
| Scale-aware attention network for crowd counting RR Varior, B Shuai, J Tighe, D Modolo arXiv preprint arXiv:1901.06026 1 (2), 3, 2019 | 31 | 2019 |
| Multi-Scale Attention Network for Crowd Counting R Rama Varior, B Shuai, J Tighe, D Modolo arXiv preprint arXiv:1901.06026, 2019 | 28 | 2019 |
| Exploiting weakly supervised visual patterns to learn from partial annotations K Kundu, E Bas, M Lam, H Chen, D Modolo, J Tighe Advances in Neural Information Processing Systems (NeurIPS), 2020 | 27 | 2020 |
| Understanding the impact of mistakes on background regions in crowd counting D Modolo, B Shuai, RR Varior, J Tighe IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 | 24 | 2021 |
| SCVRL: Shuffled Contrastive Video Representation Learning M Dorkenwald, F Xiao, B Brattoli, J Tighe, D Modolo IEEE Computer Vision and Pattern Recognition Workshop (CVPRW), 2022 | 21 | 2022 |
| Hierarchical Self-supervised Representation Learning for Movie Understanding F Xiao, K Kundu, J Tighe, D Modolo IEEE Computer Vision and Pattern Recognition (CVPR), 2022 | 21 | 2022 |
| DeviantArt in spotlight: A network of artists AA Salah, AA Salah, B Buter, N Dijkshoorn, D Modolo, Q Nguyen, ... Leonardo 45 (5), 486-487, 2012 | 18 | 2012 |
| Learning Semantic Part-Based Models from Google Images D Modolo, V Ferrari IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 40 (6 …, 2018 | 16 | 2018 |
| Objects as Context for detecting their Semantic Parts A Gonzalez-Garcia, D Modolo, V Ferrari Computer Vision and Patter Recognition (CVPR), 2018 | 16* | 2018 |
| ScaleDet: A scalable multi-dataset object detector Y Chen, M Wang, A Mittal, Z Xu, P Favaro, J Tighe, D Modolo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 15 | 2023 |
Vittorio FerrariDirector of science at SynthesiaDirección de correo verificada de google.com
