6 citations · 17 across the 9 of their papers we have counts for
12 papers
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian +2
Autonomous driving and assistance systems rely on annotated data from traffic and road scenarios to model and learn the various object relations in complex real-world scenarios. Pr…
Grounded Video Situation Recognition
Zeeshan Khan, C. V. Jawahar, Makarand Tapaswi
Dense video understanding requires answering several questions such as who is doing what to whom, with what, how, why, and where. Recently, Video Situation Recognition (VidSitu) is…
Compressing Video Calls using Synthetic Talking Heads
Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay +2
We leverage the modern advancements in talking head generation to propose an end-to-end system for talking head video compression. Our algorithm transmits pivot frames intermittent…
Site Split of Antiferromagnetic -Mn Revealed by Mn Nuclear Magnetic Resonance
Masahiro Manago, Gaku Motoyama, Shijo Nishigori +8
The magnetic structure of antiferromagnetic -Mn has been unclarified for almost 70 years since its magnetism was discovered. We measured the zero-field nuclear magnetic resonanc…
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
Aman Goyal, Dev Agarwal, Anbumani Subramanian +3
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involvin…
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian +3
Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model. A simple fine-tuning experiment perfo…