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2020 – today
- 2022
[c14]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops 2022: 4131-4140- [c13]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CVPR 2022: 5343-5353 - [c12]Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo:
Hierarchical Self-supervised Representation Learning for Movie Understanding. CVPR 2022: 9717-9726 - [c11]Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tubelet Transformer for Video Action Detection. CVPR 2022: 13588-13597 - [c10]Fanyi Xiao
, Joseph Tighe, Davide Modolo:
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. ECCV (35) 2022: 353-370 - [i19]Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik:
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR abs/2203.05553 (2022) - [i18]A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CoRR abs/2204.00746 (2022) - [i17]Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo:
Hierarchical Self-supervised Representation Learning for Movie Understanding. CoRR abs/2204.03101 (2022) - [i16]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CoRR abs/2205.11710 (2022) - [i15]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - 2021
- [c9]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CVPR 2021: 12372-12382 - [c8]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. ICCV 2021: 13608-13617 - [c7]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. WACV 2021: 1649-1658 - [i14]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. CoRR abs/2104.00179 (2021) - [i13]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CoRR abs/2105.11595 (2021) - [i12]Fanyi Xiao, Joseph Tighe, Davide Modolo:
MoDist: Motion Distillation for Self-supervised Video Representation Learning. CoRR abs/2106.09703 (2021) - [i11]Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe:
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR abs/2108.08836 (2021) - 2020
- [c6]Manchen Wang, Joseph Tighe, Davide Modolo:
Combining Detection and Tracking for Human Pose Estimation in Videos. CVPR 2020: 11085-11093 - [c5]Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe:
Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia 2020: 4625-4629 - [i10]Manchen Wang, Joseph Tighe, Davide Modolo:
Combining detection and tracking for human pose estimation in videos. CoRR abs/2003.13743 (2020) - [i9]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. CoRR abs/2003.13759 (2020) - [i8]Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe:
Multi-Object Tracking with Siamese Track-RCNN. CoRR abs/2004.07786 (2020)
2010 – 2019
- 2019
- [c4]Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action Recognition With Spatial-Temporal Discriminative Filter Banks. ICCV 2019: 5481-5490 - [i7]Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo:
Scale-Aware Attention Network for Crowd Counting. CoRR abs/1901.06026 (2019) - [i6]Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe:
Action recognition with spatial-temporal discriminative filter banks. CoRR abs/1908.07625 (2019) - 2018
- [j2]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. 126(5): 476-494 (2018) - [j1]Davide Modolo, Vittorio Ferrari:
Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1502-1509 (2018) - [c3]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as Context for Detecting Their Semantic Parts. CVPR 2018: 6907-6916 - 2017
- [b1]Davide Modolo:
Advances in detecting object classes and their semantic parts. University of Edinburgh, UK, 2017 - [i5]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as context for part detection. CoRR abs/1703.09529 (2017) - 2016
- [i4]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Do semantic parts emerge in Convolutional Neural Networks? CoRR abs/1607.03738 (2016) - [i3]Davide Modolo, Vittorio Ferrari:
Learning Semantic Part-Based Models from Google Images. CoRR abs/1609.03140 (2016) - 2015
- [c2]Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari:
Context Forest for Object Class Detection. BMVC 2015: 188.1-188.14 - [c1]Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CVPR 2015: 3955-3963 - [i2]Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari:
Joint calibration of Ensemble of Exemplar SVMs. CoRR abs/1503.00783 (2015) - [i1]Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari:
Context Forest for efficient object detection with large mixture models. CoRR abs/1503.00787 (2015)
Coauthor Index
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last updated on 2023-01-25 21:14 CET by the dblp team
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