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Davide Modolo
Davide Modolo
Research Science Manager at Amazon AGI
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Do semantic parts emerge in Convolutional Neural Networks?
A Gonzalez-Garcia, D Modolo, V Ferrari
International Journal of Computer Vision (IJCV), 2017
1422017
SiamMOT: Siamese Multi-Object Tracking
B Shuai, A Berneshawi, X Li, D Modolo, J Tighe
IEEE Computer Vision and Pattern Recognition (CVPR), 2021
1322021
Combining detection and tracking for human pose estimation in videos
M Wang, J Tighe, D Modolo
IEEE Computer Vision and Patter Recognition (CVPR), 2020
1182020
Action Recognition with Spatial-Temporal Discriminative Filter Banks
B Martinez, D Modolo, Y Xiong, J Tighe
International Conference on Computer Vision (ICCV), 2019
872019
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
662022
Multi-Scale Attention Network for Crowd Counting
R Rama Varior, B Shuai, J Tighe, D Modolo
arXiv preprint arXiv:1901.06026, 2019
512019
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
432011
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
382022
Multi-object tracking with siamese track-rcnn
B Shuai, AG Berneshawi, D Modolo, J Tighe
arXiv preprint arXiv:2004.07786, 2020
372020
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
312022
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
F Xiao, J Tighe, D Modolo
European Conference on Computer Vision (ECCV), 2022
23*2022
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
222020
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
182021
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
182012
Hierarchical Self-supervised Representation Learning for Movie Understanding
F Xiao, K Kundu, J Tighe, D Modolo
IEEE Computer Vision and Pattern Recognition (CVPR), 2022
172022
Learning Semantic Part-Based Models from Google Images
D Modolo, V Ferrari
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 40 (6 …, 2018
152018
Objects as Context for detecting their Semantic Parts
A Gonzalez-Garcia, D Modolo, V Ferrari
Computer Vision and Patter Recognition (CVPR), 2018
15*2018
Joint calibration of Ensemble of Exemplar SVMs
D Modolo, A Vezhnevets, O Russakovsky, V Ferrari
IEEE Computer Vision and Pattern Recognition (CVPR), 2015
142015
Context Forest for Object Class Detection
D Modolo, A Vezhnevets, V Ferrari
British Machine Vision Conference (BMVC), 2015
13*2015
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
122022
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