| Do semantic parts emerge in Convolutional Neural Networks? A Gonzalez-Garcia, D Modolo, V Ferrari International Journal of Computer Vision (IJCV), 2017 | 113 | 2017 |
| Action Recognition with Spatial-Temporal Discriminative Filter Banks B Martinez, D Modolo, Y Xiong, J Tighe International Conference on Computer Vision (ICCV), 2019 | 65 | 2019 |
| Combining detection and tracking for human pose estimation in videos M Wang, J Tighe, D Modolo IEEE Computer Vision and Patter Recognition (CVPR), 2020 | 45 | 2020 |
| 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 | 39 | 2011 |
| SiamMOT: Siamese Multi-Object Tracking B Shuai, A Berneshawi, X Li, D Modolo, J Tighe IEEE Computer Vision and Pattern Recognition (CVPR), 2021 | 28 | 2021 |
| Scale-aware attention network for crowd counting RR Varior, B Shuai, J Tighe, D Modolo arXiv preprint arXiv:1901.06026 1 (2), 3, 2019 | 24 | 2019 |
| Multi-object tracking with siamese track-rcnn B Shuai, AG Berneshawi, D Modolo, J Tighe arXiv preprint arXiv:2004.07786, 2020 | 21 | 2020 |
| 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 |
| Joint calibration of Ensemble of Exemplar SVMs. D Modolo, A Vezhnevets, O Russakovsky, V Ferrari IEEE Computer Vision and Pattern Recognition (CVPR), 2015 | 15 | 2015 |
| Multi-Scale Attention Network for Crowd Counting R Rama Varior, B Shuai, J Tighe, D Modolo arXiv preprint arXiv:1901.06026, 2019 | 14 | 2019 |
| Context Forest for Object Class Detection D Modolo, A Vezhnevets, V Ferrari British Machine Vision Conference (BMVC), 2015 | 13* | 2015 |
| Learning Semantic Part-Based Models from Google Images D Modolo, V Ferrari IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 40 (6 …, 2018 | 12 | 2018 |
| Objects as Context for detecting their Semantic Parts A Gonzalez-Garcia, D Modolo, V Ferrari Computer Vision and Patter Recognition (CVPR), 2018 | 12* | 2018 |
| Tuber: Tube-transformer for action detection J Zhao, X Li, C Liu, S Bing, H Chen, CGM Snoek, J Tighe arXiv preprint arXiv:2104.00969, 2021 | 9* | 2021 |
| Modist: Motion distillation for self-supervised video representation learning F Xiao, J Tighe, D Modolo arXiv preprint arXiv:2106.09703, 2021 | 8 | 2021 |
| 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 | 6 | 2020 |
| Application of multi-object tracking with Siamese track-RCNN to the human in events dataset B Shuai, A Berneshawi, M Wang, C Liu, D Modolo, X Li, J Tighe Proceedings of the 28th ACM International Conference on Multimedia, 4625-4629, 2020 | 5 | 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 | 4 | 2021 |
| Multi-object tracking with hallucinated and unlabeled videos D McKee, B Shuai, A Berneshawi, M Wang, D Modolo, S Lazebnik, ... arXiv preprint arXiv:2108.08836, 2021 | 3 | 2021 |
| Selective Feature Compression for Efficient Activity Recognition Inference C Liu, X Li, H Chen, D Modolo, J Tighe International Conference on Computer Vision (ICCV), 2021 | 2 | 2021 |
Vittorio FerrariResearch Scientist at GoogleVerified email at google.com
