Can object detectors aid internet video event retrieval? - Davide Modolo; Cees G. M. Snoek (Multimedia Content and Mobile Devices, 2013)

Context Forest for Object Class Detection. - Davide Modolo; Alexander Vezhnevets; Vittorio Ferrari (BMVC, 2015)

Joint calibration of Ensemble of Exemplar SVMs. - Davide Modolo; Alexander Vezhnevets; Olga Russakovsky; Vittorio Ferrari (CVPR, 2015)

Context Forest for efficient object detection with large mixture models. - Davide Modolo; Alexander Vezhnevets; Vittorio Ferrari (CoRR, 2015)

Objects as context for part detection. - Abel Gonzalez-Garcia; Davide Modolo; Vittorio Ferrari (CoRR, 2017)

Advances in detecting object classes and their semantic parts. - Davide Modolo (2017)

Objects as Context for Detecting Their Semantic Parts. - Abel Gonzalez-Garcia; Davide Modolo; Vittorio Ferrari (CVPR, 2018)

Do Semantic Parts Emerge in Convolutional Neural Networks? - Abel Gonzalez-Garcia; Davide Modolo; Vittorio Ferrari (Int. J. Comput. Vis., 2018)

Learning Semantic Part-Based Models from Google Images. - Davide Modolo; Vittorio Ferrari (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Action Recognition With Spatial-Temporal Discriminative Filter Banks. - Brais Martínez; Davide Modolo; Yuanjun Xiong; Joseph Tighe (ICCV, 2019)

Scale-Aware Attention Network for Crowd Counting. - Rahul Rama Varior; Bing Shuai; Joe Tighe; Davide Modolo (CoRR, 2019)

Combining Detection and Tracking for Human Pose Estimation in Videos. - Manchen Wang; Joseph Tighe; Davide Modolo (CVPR, 2020)

Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. - Bing Shuai; Andrew G. Berneshawi; Manchen Wang; Chunhui Liu 002; Davide Modolo; Xinyu Li 003; Joseph Tighe (ACM Multimedia, 2020)

Multi-Object Tracking with Siamese Track-RCNN. - Bing Shuai; Andrew G. Berneshawi; Davide Modolo; Joseph Tighe (CoRR, 2020)

SiamMOT: Siamese Multi-Object Tracking. - Bing Shuai; Andrew G. Berneshawi; Xinyu Li 003; Davide Modolo; Joseph Tighe (CVPR, 2021)

Selective Feature Compression for Efficient Activity Recognition Inference. - Chunhui Liu 002; Xinyu Li 003; Hao Chen 024; Davide Modolo; Joseph Tighe (ICCV, 2021)

Understanding the impact of mistakes on background regions in crowd counting. - Davide Modolo; Bing Shuai; Rahul Rama Varior; Joseph Tighe (WACV, 2021)

MoDist: Motion Distillation for Self-supervised Video Representation Learning. - Fanyi Xiao; Joseph Tighe; Davide Modolo (CoRR, 2021)

Multi-Object Tracking with Hallucinated and Unlabeled Videos. - Daniel McKee; Bing Shuai; Andrew G. Berneshawi; Manchen Wang; Davide Modolo; Svetlana Lazebnik; Joseph Tighe (CoRR, 2021)

SCVRL: Shuffled Contrastive Video Representation Learning. - Michael Dorkenwald; Fanyi Xiao; Biagio Brattoli; Joseph Tighe; Davide Modolo (CVPR Workshops, 2022)

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. - A. S. M. Iftekhar; Hao Chen 024; Kaustav Kundu; Xinyu Li 003; Joseph Tighe; Davide Modolo (CVPR, 2022)

Hierarchical Self-supervised Representation Learning for Movie Understanding. - Fanyi Xiao; Kaustav Kundu; Joseph Tighe; Davide Modolo (CVPR, 2022)

TubeR: Tubelet Transformer for Video Action Detection. - Jiaojiao Zhao; Yanyi Zhang; Xinyu Li 003; Hao Chen 024; Bing Shuai; Mingze Xu; Chunhui Liu 002; Kaustav Kundu; Yuanjun Xiong; Davide Modolo; Ivan Marsic; Cees G. M. Snoek; et al. (CVPR, 2022)

MaCLR: Motion-Aware Contrastive Learning of Representations for Videos. - Fanyi Xiao; Joseph Tighe; Davide Modolo (ECCV (35), 2022)

Semi-supervised Vision Transformers at Scale. - Zhaowei Cai; Avinash Ravichandran; Paolo Favaro; Manchen Wang; Davide Modolo; Rahul Bhotika; Zhuowen Tu; Stefano Soatto (NeurIPS, 2022)

Transfer of Representations to Video Label Propagation: Implementation Factors Matter. - Daniel McKee; Zitong Zhan; Bing Shuai; Davide Modolo; Joseph Tighe; Svetlana Lazebnik (CoRR, 2022)

ScaleDet: A Scalable Multi-Dataset Object Detector. - Yanbei Chen; Manchen Wang; Abhay Mittal; Zhenlin Xu; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR, 2023)

SkeleTR: Towards Skeleton-based Action Recognition in the Wild. - Haodong Duan; Mingze Xu; Bing Shuai; Davide Modolo; Zhuowen Tu; Joseph Tighe; Alessandro Bergamo (ICCV, 2023)

Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. - Zhaoyang Zhang; Yantao Shen 002; Kunyu Shi; Zhaowei Cai; Jun Fang; Siqi Deng; Hao Yang 043; Davide Modolo; Zhuowen Tu; Stefano Soatto (CoRR, 2023)

Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness. - Zhenlin Xu; Yi Zhu; Tiffany Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CoRR, 2023)

SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. - Haodong Duan; Mingze Xu; Bing Shuai; Davide Modolo; Zhuowen Tu; Joseph Tighe; Alessandro Bergamo (CoRR, 2023)

Early Action Recognition with Action Prototypes. - Guglielmo Camporese; Alessandro Bergamo; Xunyu Lin; Joseph Tighe; Davide Modolo (CoRR, 2023)

Prompting Foundational Models for Omni-supervised Instance Segmentation. - Arnav M. Das; Ritwick Chaudhry; Kaustav Kundu; Davide Modolo (CVPR Workshops, 2024)

Hyperbolic Learning with Synthetic Captions for Open-World Detection. - Fanjie Kong; Yanbei Chen; Jiarui Cai; Davide Modolo (CVPR, 2024)

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. - Abdelhak Lemkhenter; Manchen Wang; Luca Zancato; Gurumurthy Swaminathan; Paolo Favaro; Davide Modolo (CVPR Workshops, 2024)

Self-Supervised Multi-Object Tracking with Path Consistency. - Zijia Lu; Bing Shuai; Yanbei Chen; Zhenlin Xu; Davide Modolo (CVPR, 2024)

Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. - Zhenlin Xu; Yi Zhu; Siqi Deng; Abhay Mittal; Yanbei Chen; Manchen Wang; Paolo Favaro; Joseph Tighe; Davide Modolo (CVPR Workshops, 2024)

Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. - Zhuoran Yu; Manchen Wang; Yanbei Chen; Paolo Favaro; Davide Modolo (WACV, 2024)