Davide Modolo

According to our database, Davide Modolo authored at least 38 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation.

Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Supervised Multi-Object Tracking with Path Consistency.

Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hyperbolic Learning with Synthetic Captions for Open-World Detection.

Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Prompting Foundational Models for Omni-supervised Instance Segmentation.

Arnav M. Das, Ritwick Chaudhry, Kaustav Kundu, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Early Action Recognition with Action Prototypes.

Guglielmo Camporese, Alessandro Bergamo, Xunyu Lin, 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

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

Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts.

Zhaoyang Zhang, Yantao Shen, Kunyu Shi, Zhaowei Cai, Jun Fang, Siqi Deng, Hao Yang, Davide Modolo, Zhuowen Tu, Stefano Soatto

CoRR, 2023

SkeleTR: Towards Skeleton-based Action Recognition in the Wild.

Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ScaleDet: A Scalable Multi-Dataset Object Detector.

Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Semi-supervised Vision Transformers at Scale.

Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MaCLR: Motion-Aware Contrastive Learning of Representations for Videos.

Fanyi Xiao, Joseph Tighe, Davide Modolo

Proceedings of the Computer Vision - ECCV 2022, 2022

TubeR: Tubelet Transformer for Video Action Detection.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hierarchical Self-supervised Representation Learning for Movie Understanding.

Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions.

A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCVRL: Shuffled Contrastive Video Representation Learning.

Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide Modolo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

MoDist: Motion Distillation for Self-supervised Video Representation Learning.

Fanyi Xiao, Joseph Tighe, Davide Modolo

CoRR, 2021

Understanding the impact of mistakes on background regions in crowd counting.

Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Selective Feature Compression for Efficient Activity Recognition Inference.

Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SiamMOT: Siamese Multi-Object Tracking.

Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multi-Object Tracking with Siamese Track-RCNN.

Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe

CoRR, 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, Davide Modolo, Xinyu Li, Joseph Tighe

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Combining Detection and Tracking for Human Pose Estimation in Videos.

Manchen Wang, Joseph Tighe, Davide Modolo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Scale-Aware Attention Network for Crowd Counting.

Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo

CoRR, 2019

Action Recognition With Spatial-Temporal Discriminative Filter Banks.

Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Semantic Part-Based Models from Google Images.

Davide Modolo, Vittorio Ferrari

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Do Semantic Parts Emerge in Convolutional Neural Networks?

Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari

Int. J. Comput. Vis., 2018

Objects as Context for Detecting Their Semantic Parts.

Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Advances in detecting object classes and their semantic parts.

Davide Modolo

PhD thesis, 2017

Objects as context for part detection.

Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari

CoRR, 2017

2015

Context Forest for efficient object detection with large mixture models.

Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari

CoRR, 2015

Joint calibration of Ensemble of Exemplar SVMs.

Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Context Forest for Object Class Detection.

Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari

Proceedings of the British Machine Vision Conference 2015, 2015

2013

Can object detectors aid internet video event retrieval?

Davide Modolo, Cees G. M. Snoek

Proceedings of the Multimedia Content and Mobile Devices 2013, 2013