7 citations · 9 across the 5 of their papers we have counts for
5 papers
RoadTones: Tone Controllable Text Generation from Road Event Videos
Chirag Parikh, Siddhi Pravin Lipare, Ravi Kiran Sarvadevabhatla
Existing video-language models can generate factual descriptions of road events but lack control over how these events are expressed: their tone, urgency, or style. This limits dep…
RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives
Chirag Parikh, Deepti Rawat, Rakshitha R. T. +2
We introduce RoadSocial, a large-scale, diverse VideoQA dataset tailored for generic road event understanding from social media narratives. Unlike existing datasets limited by regi…
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Chirag Parikh, Ravi Shankar Mishra, Rohan Chandra +1
Recognizing driving behaviors is important for downstream tasks such as reasoning, planning, and navigation. Existing video recognition approaches work well for common behaviors (e…
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Chirag Parikh, Rohit Saluja, C. V. Jawahar +1
Intelligent vehicle systems require a deep understanding of the interplay between road conditions, surrounding entities, and the ego vehicle's driving behavior for safe and efficie…
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja +2
The previous fine-grained datasets mainly focus on classification and are often captured in a controlled setup, with the camera focusing on the objects. We introduce the first Fine…