Search Results for author: Yogesh Rawat

Found 6 papers, 4 papers with code

"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021

no code implementations14 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.

Action Recognition Optical Flow Estimation +1

Modeling Multi-Label Action Dependencies for Temporal Action Localization

1 code implementation CVPR 2021 Praveen Tirupattur, Kevin Duarte, Yogesh Rawat, Mubarak Shah

We propose to improve action localization performance by modeling these action dependencies in a novel attention-based Multi-Label Action Dependency (MLAD)layer.

Action Detection Multi-Label Classification +1

Adversarial Learning for Personalized Tag Recommendation

1 code implementation1 Apr 2020 Erik Quintanilla, Yogesh Rawat, Andrey Sakryukin, Mubarak Shah, Mohan Kankanhalli

We demonstrate the effectiveness of the proposed model on two different large-scale and publicly available datasets, YFCC100M and NUS-WIDE.

General Classification Image Classification +2

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