activity
20192026
most citedComputer Vision-based Accident Detection in Traffic Surveillance

123 citations · 224 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR

Savyasachi Gupta, Aniruddha Srinivas Joshi

Reinforcement learning with verifiable rewards (RLVR) has become a principal recipe for improving the reasoning of large language models (LLMs). It rests on the assumption that the…

cs.CV2020

Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles

Savyasachi Gupta, Dhananjai Chand, Ilaiah Kavati

Animals have been a common sighting on roads in India which leads to several accidents between them and vehicles every year. This makes it vital to develop a support system for dri…

cs.CV2020

Computer Vision based Accident Detection for Autonomous Vehicles

Dhananjai Chand, Savyasachi Gupta, Ilaiah Kavati

Numerous Deep Learning and sensor-based models have been developed to detect potential accidents with an autonomous vehicle. However, a self-driving car needs to be able to detect…

cs.CV2020★ 71 cited

Deep Learning Framework to Detect Face Masks from Video Footage

Aniruddha Srinivas Joshi, Shreyas Srinivas Joshi, Goutham Kanahasabai +2

The use of facial masks in public spaces has become a social obligation since the wake of the COVID-19 global pandemic and the identification of facial masks can be imperative to e…

cs.CV2020★ 30 cited

SD-Measure: A Social Distancing Detector

Savyasachi Gupta, Rudraksh Kapil, Goutham Kanahasabai +2

The practice of social distancing is imperative to curbing the spread of contagious diseases and has been globally adopted as a non-pharmaceutical prevention measure during the COV…

cs.CV2019★ 123 cited

Computer Vision-based Accident Detection in Traffic Surveillance

Earnest Paul Ijjina, Dhananjai Chand, Savyasachi Gupta +1

Computer vision-based accident detection through video surveillance has become a beneficial but daunting task. In this paper, a neoteric framework for detection of road accidents i…