activity
20222024
most citedEZ-CLIP: Efficient Zeroshot Video Action Recognition

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Activity-Biometrics: Person Identification from Daily Activities

Shehreen Azad, Yogesh Singh Rawat

In this work, we study a novel problem which focuses on person identification while performing daily activities. Learning biometric features from RGB videos is challenging due to s…

cs.CV2024

Navigating Hallucinations for Reasoning of Unintentional Activities

Shresth Grover, Vibhav Vineet, Yogesh S Rawat

In this work we present a novel task of understanding unintentional human activities in videos. We formalize this problem as a reasoning task under zero-shot scenario, where given…

cs.CV20244 cited

EZ-CLIP: Efficient Zeroshot Video Action Recognition

Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat

Recent advancements in large-scale pre-training of visual-language models on paired image-text data have demonstrated impressive generalization capabilities for zero-shot tasks. Bu…

cs.CV2023

PRAT: PRofiling Adversarial aTtacks

Rahul Ambati, Naveed Akhtar, Ajmal Mian +1

Intrinsic susceptibility of deep learning to adversarial examples has led to a plethora of attack techniques with a broad common objective of fooling deep models. However, we find…

cs.CV20231 cited

Efficiently Robustify Pre-trained Models

Nishant Jain, Harkirat Behl, Yogesh Singh Rawat +1

A recent trend in deep learning algorithms has been towards training large scale models, having high parameter count and trained on big dataset. However, robustness of such large s…

cs.CV2022

SVGraph: Learning Semantic Graphs from Instructional Videos

Madeline C. Schiappa, Yogesh S. Rawat

In this work, we focus on generating graphical representations of noisy, instructional videos for video understanding. We propose a self-supervised, interpretable approach that doe…