149 citations · 278 across the 55 of their papers we have counts for
10 papers · 1 filter
Stable Mean Teacher for Semi-supervised Video Action Detection
Akash Kumar, Sirshapan Mitra, Yogesh Singh Rawat
In this work, we focus on semi-supervised learning for video action detection. Video action detection requires spatiotemporal localization in addition to classification, and a limi…
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…
Understanding Depth and Height Perception in Large Visual-Language Models
Shehreen Azad, Yash Jain, Rishit Garg +2
Geometric understanding - including depth and height perception - is fundamental to intelligence and crucial for navigating our environment. Despite the impressive capabilities of…
AirSketch: Generative Motion to Sketch
Hui Xian Grace Lim, Xuanming Cui, Yogesh S Rawat +1
Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While A…
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…
Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
Abhishek Jha, Yogesh Rawat, Shruti Vyas
Photovoltaic (PV) systems allow us to tap into all abundant solar energy, however they require regular maintenance for high efficiency and to prevent degradation. Traditional manua…
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…
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…
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…