2 citations · 4 across the 4 of their papers we have counts for
4 papers
PNeRV: A Polynomial Neural Representation for Videos
Sonam Gupta, Snehal Singh Tomar, Grigorios G Chrysos +2
Extracting Implicit Neural Representations (INRs) on video data poses unique challenges due to the additional temporal dimension. In the context of videos, INRs have predominantly…
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information
Binoy Saha, Sukhendu Das
The primary goal of artificial intelligence is to mimic humans. Therefore, to advance toward this goal, the AI community attempts to imitate qualities/skills possessed by humans an…
V3GAN: Decomposing Background, Foreground and Motion for Video Generation
Arti Keshari, Sonam Gupta, Sukhendu Das
Video generation is a challenging task that requires modeling plausible spatial and temporal dynamics in a video. Inspired by how humans perceive a video by grouping a scene into m…
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
Binoy Saha, Sukhendu Das
Most visual scene understanding tasks in the field of computer vision involve identification of the objects present in the scene. Image regions like hideouts, turns, & other obscur…