Davide Modolo - RankMe

56 papers A* 15A 3Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models. CoRR Yuxiao Chen, Jue Wang, Zhikang Zhang, Jingru Yi, Xu Zhang, Yang Zou, Zhaowei Cai, Jianbo Yuan, Xinyu Li, Hao Yang, Davide Modolo
2024	—	`conf`	Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. CVPR Workshops Zhenlin Xu, Yi Zhu, Siqi Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo
2024	A	`conf`	Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. WACV Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo
2024	A*	`conf`	Hyperbolic Learning with Synthetic Captions for Open-World Detection. CVPR Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo
2024	J	`jnl`	Hyperbolic Learning with Synthetic Captions for Open-World Detection. CoRR Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo
2024	—	`conf`	Prompting Foundational Models for Omni-supervised Instance Segmentation. CVPR Workshops Arnav M. Das, Ritwick Chaudhry, Kaustav Kundu, Davide Modolo
2024	A*	`conf`	Self-Supervised Multi-Object Tracking with Path Consistency. CVPR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2024	J	`jnl`	Self-Supervised Multi-Object Tracking with Path Consistency. CoRR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2024	—	`conf`	SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CVPR Workshops Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
2023	J	`jnl`	Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. CoRR Zhenlin Xu, Yi Zhu, Tiffany Deng, Abhay Mittal, Yanbei Chen, Manchen Wang, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	J	`jnl`	Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. CoRR Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo
2023	J	`jnl`	Early Action Recognition with Action Prototypes. CoRR Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, Joseph Tighe, Davide Modolo
2023	J	`jnl`	Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. CoRR Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto
2023	A*	`conf`	ScaleDet: A Scalable Multi-Dataset Object Detector. CVPR Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	J	`jnl`	ScaleDet: A Scalable Multi-Dataset Object Detector. CoRR Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo
2023	J	`jnl`	SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CoRR Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo
2023	A*	`conf`	SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2023	J	`jnl`	SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2022	A*	`conf`	Hierarchical Self-supervised Representation Learning for Movie Understanding. CVPR Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo
2022	J	`jnl`	Hierarchical Self-supervised Representation Learning for Movie Understanding. CoRR Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo
2022	—	`conf`	MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. ECCV (35) Fanyi Xiao, Joseph Tighe, Davide Modolo
2022	—	`conf`	SCVRL: Shuffled Contrastive Video Representation Learning. CVPR Workshops Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
2022	J	`jnl`	SCVRL: Shuffled Contrastive Video Representation Learning. CoRR Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo
2022	A*	`conf`	Semi-supervised Vision Transformers at Scale. NeurIPS Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	Semi-supervised Vision Transformers at Scale. CoRR Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
2022	A*	`conf`	TubeR: Tubelet Transformer for Video Action Detection. CVPR 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
2022	A*	`conf`	What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CVPR A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo
2022	J	`jnl`	What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. CoRR A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo
2021	J	`jnl`	MoDist: Motion Distillation for Self-supervised Video Representation Learning. CoRR Fanyi Xiao, Joseph Tighe, Davide Modolo
2021	J	`jnl`	Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe
2021	A*	`conf`	Selective Feature Compression for Efficient Activity Recognition Inference. ICCV Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe
2021	J	`jnl`	Selective Feature Compression for Efficient Activity Recognition Inference. CoRR Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe
2021	A*	`conf`	SiamMOT: Siamese Multi-Object Tracking. CVPR Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
2021	J	`jnl`	SiamMOT: Siamese Multi-Object Tracking. CoRR Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
2021	A	`conf`	Understanding the impact of mistakes on background regions in crowd counting. WACV Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
2020	A*	`conf`	Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe
2020	A*	`conf`	Combining Detection and Tracking for Human Pose Estimation in Videos. CVPR Manchen Wang, Joseph Tighe, Davide Modolo
2020	J	`jnl`	Combining detection and tracking for human pose estimation in videos. CoRR Manchen Wang, Joseph Tighe, Davide Modolo
2020	J	`jnl`	Multi-Object Tracking with Siamese Track-RCNN. CoRR Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe
2020	J	`jnl`	Understanding the impact of mistakes on background regions in crowd counting. CoRR Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
2019	A*	`conf`	Action Recognition With Spatial-Temporal Discriminative Filter Banks. ICCV Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
2019	J	`jnl`	Action recognition with spatial-temporal discriminative filter banks. CoRR Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
2019	J	`jnl`	Scale-Aware Attention Network for Crowd Counting. CoRR Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo
2018	J	`jnl`	Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
2018	J	`jnl`	Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. Davide Modolo, Vittorio Ferrari
2018	A*	`conf`	Objects as Context for Detecting Their Semantic Parts. CVPR Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
2017	—	`—`	Advances in detecting object classes and their semantic parts. Davide Modolo
2017	J	`jnl`	Objects as context for part detection. CoRR Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
2016	J	`jnl`	Do semantic parts emerge in Convolutional Neural Networks? CoRR Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari
2016	J	`jnl`	Learning Semantic Part-Based Models from Google Images. CoRR Davide Modolo, Vittorio Ferrari
2015	A	`conf`	Context Forest for Object Class Detection. BMVC Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
2015	J	`jnl`	Context Forest for efficient object detection with large mixture models. CoRR Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
2015	A*	`conf`	Joint calibration of Ensemble of Exemplar SVMs. CVPR Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
2015	J	`jnl`	Joint calibration of Ensemble of Exemplar SVMs. CoRR Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
2013	—	`conf`	Can object detectors aid internet video event retrieval? Multimedia Content and Mobile Devices Davide Modolo, Cees G. M. Snoek