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Davide Modolo
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2020 – today
- 2024
- [c24]Arnav M. Das, Ritwick Chaudhry, Kaustav Kundu, Davide Modolo:
Prompting Foundational Models for Omni-supervised Instance Segmentation. CVPR Workshops 2024: 1583-1592 - [c23]Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops 2024: 1827-1836 - [c22]Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo:
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CVPR Workshops 2024: 2576-2585 - [c21]Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo:
Hyperbolic Learning with Synthetic Captions for Open-World Detection. CVPR 2024: 16762-16771 - [c20]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CVPR 2024: 19016-19026 - [c19]Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo:
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. WACV 2024: 6268-6277 - [i28]Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo:
Hyperbolic Learning with Synthetic Captions for Open-World Detection. CoRR abs/2404.05016 (2024) - [i27]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CoRR abs/2404.05136 (2024) - 2023
- [c18]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR 2023: 7288-7297 - [c17]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV 2023: 13588-13598 - [i26]Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto:
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR abs/2305.07019 (2023) - [i25]Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo:
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR abs/2306.04849 (2023) - [i24]Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo:
Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR abs/2306.16048 (2023) - [i23]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - [i22]Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo:
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. CoRR abs/2310.00099 (2023) - [i21]Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo:
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CoRR abs/2311.01646 (2023) - [i20]Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, Joseph Tighe, Davide Modolo:
Early Action Recognition with Action Prototypes. CoRR abs/2312.06598 (2023) - 2022
- [c16]Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo:
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops 2022: 4131-4140 - [c15]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 - [c14]Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo:
Hierarchical Self-supervised Representation Learning for Movie Understanding. CVPR 2022: 9717-9726 - [c13]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 - [c12]Fanyi Xiao
, Joseph Tighe
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. ECCV (35) 2022: 353-370 - [c11]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [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
- [c10]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CVPR 2021: 12372-12382 - [c9]Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. ICCV 2021: 13608-13617 - [c8]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
- [c7]Manchen Wang, Joseph Tighe, Davide Modolo:
Combining Detection and Tracking for Human Pose Estimation in Videos. CVPR 2020: 11085-11093 - [c6]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
- [c5]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
Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. 126(5): 476-494 (2018) - [j1]Davide Modolo
Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1502-1509 (2018) - [c4]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
- [c3]Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari:
Context Forest for Object Class Detection. BMVC 2015: 188.1-188.14 - [c2]Davide Modolo, Alexander Vezhnevets, Olga Russakovsky
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) - 2013
- [c1]Davide Modolo, Cees G. M. Snoek
Can object detectors aid internet video event retrieval? Multimedia Content and Mobile Devices 2013: 866707
Coauthor Index
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last updated on 2024-10-11 17:28 CEST by the dblp team
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