Raghava Modhugu — accepted AI-conference papers

2022

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar +79

CVPR 2022oral

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countri…

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2021

Looking Farther in Parametric Scene Parsing with Ground and Aerial Imagery

Raghava Modhugu, Harish Rithish Sethuram, Manmohan Chandraker, C.V. Jawahar

ICRA 2021poster

Parametric models that represent layout in terms of scene attributes are an attractive avenue for road scene understanding in autonomous navigation. Prior works that rely only on ground imagery are limited by the narrow field of view of the camera, occlusions and perspective foreshortening. In this…

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