33 citations · 44 across the 5 of their papers we have counts for
6 papers · 1 filter
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos
Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan
Analyzing the interactions between humans and objects from a video includes identification of the relationships between humans and the objects present in the video. It can be thoug…
Multi-Person 3D Human Pose Estimation from Monocular Images
Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra +3
Multi-person 3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose HG-RCNN, a…
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
Vishal Kaushal, Rishabh Iyer, Khoshrav Doctor +6
This paper addresses automatic summarization of videos in a unified manner. In particular, we propose a framework for multi-faceted summarization for extractive, query base and ent…
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade +3
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry. Their data curation poses the challenges of expensive human labeling, inad…
A Framework towards Domain Specific Video Summarization
Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade +2
In the light of exponentially increasing video content, video summarization has attracted a lot of attention recently due to its ability to optimize time and storage. Characteristi…
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor +5
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry and pose the challenges of not having adequate computing resources and of h…