activity
20182022
most citedTinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos

6 citations · 8 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Video Action Detection: Analysing Limitations and Challenges

Rajat Modi, Aayush Jung Rana, Akash Kumar +4

Beyond possessing large enough size to feed data hungry machines (eg, transformers), what attributes measure the quality of a dataset? Assuming that the definitions of such attribu…

cs.CV2021

LARNet: Latent Action Representation for Human Action Synthesis

Naman Biyani, Aayush J Rana, Shruti Vyas +1

We present LARNet, a novel end-to-end approach for generating human action videos. A joint generative modeling of appearance and dynamics to synthesize a video is very challenging…

cs.MM2021

NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels

Mohit Sharma, Raj Patra, Harshal Desai +3

Deep learning has shown remarkable progress in a wide range of problems. However, efficient training of such models requires large-scale datasets, and getting annotations for such…

cs.CV20216 cited

TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos

Praveen Tirupattur, Aayush J Rana, Tushar Sangam +3

This paper summarizes the TinyAction challenge which was organized in ActivityNet workshop at CVPR 2021. This challenge focuses on recognizing real-world low-resolution activities…

cs.CV2021

Novel View Video Prediction Using a Dual Representation

Sarah Shiraz, Krishna Regmi, Shruti Vyas +2

We address the problem of novel view video prediction; given a set of input video clips from a single/multiple views, our network is able to predict the video from a novel view. Th…

cs.CV20202 cited

View-invariant action recognition

Yogesh S Rawat, Shruti Vyas

Human action recognition is an important problem in computer vision. It has a wide range of applications in surveillance, human-computer interaction, augmented reality, video index…