no code implementations • CVPR 2023 • Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat
In this work, we perform a large-scale robustness analysis of these existing models for video action recognition.
1 code implementation • 4 Jul 2022 • Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
In this work, we perform a large-scale robustness analysis of these existing models for video action recognition.
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 • 14 Oct 2021 • Ishan Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh Rawat, Mubarak Shah
This technical report presents our approach "Knights" to solve the action recognition task on a small subset of Kinetics-400 i. e. Kinetics400ViPriors without using any extra-data.
no code implementations • 31 Aug 2021 • Chauhan Dev, Naman Biyani, Nirmal P. Suthar, Prashant Kumar, Priyanshu Agarwal
Over the last several years, the field of Structured prediction in NLP has had seen huge advancements with sophisticated probabilistic graphical models, energy-based networks, and its combination with deep learning-based approaches.