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cs.CV2024
Asynchronous Perception Machine For Efficient Test-Time-Training
Rajat Modi, Yogesh Singh Rawat
In this work, we propose Asynchronous Perception Machine (APM), a computationally-efficient architecture for test-time-training (TTT). APM can process patches of an image one at a…
cs.CV2024★ 1 cited
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
Rajat Modi, Vibhav Vineet, Yogesh Singh Rawat
This paper explores the impact of occlusions in video action detection. We facilitate this study by introducing five new benchmark datasets namely O-UCF and O-JHMDB consisting of s…
cs.CV2024★ 4 cited
Foundation Models for Video Understanding: A Survey
Neelu Madan, Andreas Moegelmose, Rajat Modi +2
Video Foundation Models (ViFMs) aim to learn a general-purpose representation for various video understanding tasks. Leveraging large-scale datasets and powerful models, ViFMs achi…