Davide Moltisanti

Orcid: 0000-0003-4265-8882

According to our database1, Davide Moltisanti authored at least 15 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Learning Action Changes by Measuring Verb-Adverb Textual Relationships.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100.
Int. J. Comput. Vis., 2022

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis.
Proceedings of the Computer Vision - ECCV 2022, 2022

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
Rescaling Egocentric Vision.
CoRR, 2020

2019
Temporal labelling for action recognition in videos.
PhD thesis, 2019

Action Recognition From Single Timestamp Supervision in Untrimmed Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset.
CoRR, 2018

Scaling Egocentric Vision: The Dataset.
Proceedings of the Computer Vision - ECCV 2018, 2018

Towards an Unequivocal Representation of Actions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition.
CoRR, 2017

Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
SEMBED: Semantic Embedding of Egocentric Action Videos.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Monitoring Accropodes Breakwaters using RGB-D Cameras.
Proceedings of the VISAPP 2015, 2015


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