1 citations · 1 across the 3 of their papers we have counts for
4 papers
Forget, Anticipate and Adapt: Test Time Training for Long Videos
Rajat Modi, Sebastian Noel, Xin Liang +1
Test Time Training (TTT) is a mechanism in which a model adapts to an incoming test-sample by performing some self-supervised (SSL) task and updating its weights even during infere…
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…
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…
Sky2Ground: A Benchmark for Site Modeling under Varying Altitude
Zengyan Wang, Sirshapan Mitra, Rajat Modi +2
We introduce Sky2Ground, a three-view dataset designed for varying altitude camera localization, correspondence learning, and reconstruction. The dataset combines structured synthe…