Davide Modolo

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 45

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, Joseph Tighe, Davide Modolo
Early Action Recognition with Action Prototypes. CoRR (2023)
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 (2023)
Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. CoRR (2023)
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 (2023)
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 (2023)
Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR (2023)
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)
Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR (2023)
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR (2023)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. NeurIPS (2022)
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)
Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops (2022)
Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
SCVRL: Shuffled Contrastive Video Representation Learning. CoRR (2022)
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
Semi-supervised Vision Transformers at Scale. CoRR (2022)
Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR (2022)
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 (2022)
Fanyi Xiao, Joseph Tighe, Davide Modolo
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. ECCV (35) (2022)
Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo
Hierarchical Self-supervised Representation Learning for Movie Understanding. CVPR (2022)
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)
Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo
Hierarchical Self-supervised Representation Learning for Movie Understanding. CoRR (2022)
Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR (2021)
Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
Understanding the impact of mistakes on background regions in crowd counting. WACV (2021)
Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe
Selective Feature Compression for Efficient Activity Recognition Inference. CoRR (2021)
Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe
Selective Feature Compression for Efficient Activity Recognition Inference. ICCV (2021)
Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
SiamMOT: Siamese Multi-Object Tracking. CVPR (2021)
Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
SiamMOT: Siamese Multi-Object Tracking. CoRR (2021)
Fanyi Xiao, Joseph Tighe, Davide Modolo
MoDist: Motion Distillation for Self-supervised Video Representation Learning. CoRR (2021)
Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe
Multi-Object Tracking with Siamese Track-RCNN. CoRR (2020)
Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
Understanding the impact of mistakes on background regions in crowd counting. CoRR (2020)
Manchen Wang, Joseph Tighe, Davide Modolo
Combining detection and tracking for human pose estimation in videos. CoRR (2020)
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)
Manchen Wang, Joseph Tighe, Davide Modolo
Combining Detection and Tracking for Human Pose Estimation in Videos. CVPR (2020)
Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
Action recognition with spatial-temporal discriminative filter banks. CoRR (2019)
Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
Action Recognition With Spatial-Temporal Discriminative Filter Banks. ICCV (2019)
Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo
Scale-Aware Attention Network for Crowd Counting. CoRR (2019)
Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
Objects as Context for Detecting Their Semantic Parts. CVPR (2018)
Davide Modolo, Vittorio Ferrari
Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. 40 (6) (2018)
Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. 126 (5) (2018)
Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
Objects as context for part detection. CoRR (2017)
Davide Modolo, Vittorio Ferrari
Learning Semantic Part-Based Models from Google Images. CoRR (2016)
Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
Do semantic parts emerge in Convolutional Neural Networks? CoRR (2016)
Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
Context Forest for Object Class Detection. BMVC (2015)
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
Joint calibration of Ensemble of Exemplar SVMs. CVPR (2015)
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
Joint calibration of Ensemble of Exemplar SVMs. CoRR (2015)
Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
Context Forest for efficient object detection with large mixture models. CoRR (2015)
Davide Modolo, Cees G. M. Snoek
Can object detectors aid internet video event retrieval? Multimedia Content and Mobile Devices (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Davide Modolo