17 citations · 17 across the 1 of their papers we have counts for
4 papers
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
There is a strong incentive to develop versatile learning techniques that can transfer the knowledge of class-separability from a labeled source domain to an unlabeled target domai…
Towards Inheritable Models for Open-Set Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur +2
There has been a tremendous progress in Domain Adaptation (DA) for visual recognition tasks. Particularly, open-set DA has gained considerable attention wherein the target domain c…
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence
Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan +1
Understanding the geometry and pose of objects in 2D images is a fundamental necessity for a wide range of real world applications. Driven by deep neural networks, recent methods h…
iSPA-Net: Iterative Semantic Pose Alignment Network
Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V. +2
Understanding and extracting 3D information of objects from monocular 2D images is a fundamental problem in computer vision. In the task of 3D object pose estimation, recent data d…