6 citations · 17 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
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…
Pose-guided Generative Adversarial Net for Novel View Action Synthesis
Xianhang Li, Junhao Zhang, Kunchang Li +2
We focus on the problem of novel-view human action synthesis. Given an action video, the goal is to generate the same action from an unseen viewpoint. Naturally, novel view video s…
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…
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…