1 code implementation • ECCV 2020 • Shruti Vyas, Yogesh S Rawat, Mubarak Shah
We evaluate the effectiveness of the learned representation for multi-view video action recognition in a supervised approach.
1 code implementation • ECCV 2020 • Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat
The transformed action is integrated with the target appearance using the proposed recurrent transformer network, which provides a transformed appearance for each time-step in the action sequence.
no code implementations • 29 Feb 2024 • Shresth Grover, Vibhav Vineet, Yogesh S Rawat
In this work we present a novel task of understanding unintentional human activities in videos.
1 code implementation • 13 Dec 2023 • Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat
Recent advancements in large-scale pre-training of visual-language models on paired image-text data have demonstrated impressive generalization capabilities for zero-shot tasks.
1 code implementation • 21 Oct 2021 • Naman Biyani, Aayush J Rana, Shruti Vyas, Yogesh S Rawat
We present LARNet, a novel end-to-end approach for generating human action videos.
no code implementations • 15 Oct 2021 • Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh S Rawat
We focus on the problem of novel-view human action synthesis.
1 code implementation • 24 Jul 2021 • Praveen Tirupattur, Aayush J Rana, Tushar Sangam, Shruti Vyas, Yogesh S Rawat, Mubarak Shah
While various approaches have been shown effective for recognition task in recent works, they often do not deal with videos of lower resolution where the action is happening in a tiny region.
no code implementations • 30 Apr 2021 • Sirnam Swetha, Hilde Kuehne, Yogesh S Rawat, Mubarak Shah
This paper proposes a novel approach for unsupervised sub-action learning in complex activities.
Ranked #28 on Action Segmentation on Breakfast
2 code implementations • ICLR 2021 • Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah
The recent research in semi-supervised learning (SSL) is mostly dominated by consistency regularization based methods which achieve strong performance.
1 code implementation • 22 Nov 2020 • Aayush J Rana, Yogesh S Rawat
We propose SSA2D, a simple yet effective end-to-end deep network for actor-action detection in videos.
no code implementations • 1 Sep 2020 • Yogesh S Rawat, Shruti Vyas
The research in view-invariant action recognition addresses this problem and focuses on recognizing human actions from unseen viewpoints.
1 code implementation • 14 Jul 2020 • Ugur Demir, Yogesh S Rawat, Mubarak Shah
In real-world surveillance environments, the actions in videos are captured at a wide range of resolutions.
1 code implementation • ICCV 2019 • Kevin Duarte, Yogesh S Rawat, Mubarak Shah
In this work we propose a capsule-based approach for semi-supervised video object segmentation.
no code implementations • 2 Dec 2018 • Bruce McIntosh, Kevin Duarte, Yogesh S Rawat, Mubarak Shah
The existing works on actor-action localization are mainly focused on localization in a single frame instead of the full video.
no code implementations • 26 Nov 2018 • Shruti Vyas, Yogesh S Rawat, Mubarak Shah
We demonstrate the effectiveness of the proposed method in rendering view-aware as well as time-aware video clips on two different real-world datasets including UCF-101 and NTU-RGB+D.
no code implementations • NeurIPS 2018 • Kevin Duarte, Yogesh S Rawat, Mubarak Shah
In this work, we present a more elegant solution for action detection based on the recently developed capsule network.