Davide Modolo

Orcid: 0000-0002-7625-7748

According to our database1, Davide Modolo authored at least 34 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Early Action Recognition with Action Prototypes.
CoRR, 2023

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes.
CoRR, 2023

SkeleTR: Towrads Skeleton-based Action Recognition in the Wild.
CoRR, 2023

Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness.
CoRR, 2023

Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts.
CoRR, 2023

SkeleTR: Towards Skeleton-based Action Recognition in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ScaleDet: A Scalable Multi-Dataset Object Detector.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Transfer of Representations to Video Label Propagation: Implementation Factors Matter.
CoRR, 2022

Semi-supervised Vision Transformers at Scale.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

TubeR: Tubelet Transformer for Video Action Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hierarchical Self-supervised Representation Learning for Movie Understanding.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCVRL: Shuffled Contrastive Video Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Multi-Object Tracking with Hallucinated and Unlabeled Videos.
CoRR, 2021

MoDist: Motion Distillation for Self-supervised Video Representation Learning.
CoRR, 2021

Understanding the impact of mistakes on background regions in crowd counting.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Selective Feature Compression for Efficient Activity Recognition Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SiamMOT: Siamese Multi-Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multi-Object Tracking with Siamese Track-RCNN.
CoRR, 2020

Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Combining Detection and Tracking for Human Pose Estimation in Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Scale-Aware Attention Network for Crowd Counting.
CoRR, 2019

Action Recognition With Spatial-Temporal Discriminative Filter Banks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning Semantic Part-Based Models from Google Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Do Semantic Parts Emerge in Convolutional Neural Networks?
Int. J. Comput. Vis., 2018

Objects as Context for Detecting Their Semantic Parts.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Advances in detecting object classes and their semantic parts.
PhD thesis, 2017

Objects as context for part detection.
CoRR, 2017

2015
Context Forest for efficient object detection with large mixture models.
CoRR, 2015

Joint calibration of Ensemble of Exemplar SVMs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Context Forest for Object Class Detection.
Proceedings of the British Machine Vision Conference 2015, 2015

2013
Can object detectors aid internet video event retrieval?
Proceedings of the Multimedia Content and Mobile Devices 2013, 2013


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