11 citations · 19 across the 5 of their papers we have counts for
5 papers
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics
Shervin Ardeshir
Trained on a vast amount of data, Large Language models (LLMs) have achieved unprecedented success and generalization in modeling fairly complex textual inputs in the abstract spac…
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance
Shervin Ardeshir, Navid Azizan
The superior performance of some of today's state-of-the-art deep learning models is to some extent owed to extensive (self-)supervised contrastive pretraining on large-scale datas…
EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos
Shervin Ardeshir, Sandesh Sharma, Ali Broji
Human identification remains to be one of the challenging tasks in computer vision community due to drastic changes in visual features across different viewpoints, lighting conditi…
EgoTransfer: Transferring Motion Across Egocentric and Exocentric Domains using Deep Neural Networks
Shervin Ardeshir, Krishna Regmi, Ali Borji
Mirror neurons have been observed in the primary motor cortex of primate species, in particular in humans and monkeys. A mirror neuron fires when a person performs a certain action…
Ego2Top: Matching Viewers in Egocentric and Top-view Videos
Shervin Ardeshir, Ali Borji
Egocentric cameras are becoming increasingly popular and provide us with large amounts of videos, captured from the first person perspective. At the same time, surveillance cameras…