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05/31/2023
Representation Reliability and Its Impact on Downstream Tasks
Self-supervised pre-trained models extract general-purpose representatio...
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05/04/2023
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics
Trained on a vast amount of data, Large Language models (LLMs) have achi...
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04/07/2023
Improving Identity-Robustness for Face Models
Despite the success of deep-learning models in many tasks, there have be...
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10/12/2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Improving fairness between privileged and less-privileged sensitive attr...
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07/19/2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance
The superior performance of some of today's state-of-the-art deep learni...
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04/29/2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
The abundance and ease of utilizing sound, along with the fact that audi...
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04/13/2022
Character-focused Video Thumbnail Retrieval
We explore retrieving character-focused video frames as candidates for b...
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04/13/2022
Estimating Structural Disparities for Face Models
In machine learning, disparity metrics are often defined by measuring th...
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12/14/2018
On Attention Modules for Audio-Visual Synchronization
With the development of media and networking technologies, multimedia ap...
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12/01/2018
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval
First-person (egocentric) and third person (exocentric) videos are drast...
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12/24/2016
EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos
Human identification remains to be one of the challenging tasks in compu...
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12/17/2016
EgoTransfer: Transferring Motion Across Egocentric and Exocentric Domains using Deep Neural Networks
Mirror neurons have been observed in the primary motor cortex of primate...
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08/30/2016
