no code implementations • 5 Jun 2022 • Labina Shrestha, Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique, Moongu Jeon
The current action recognition methods use computationally expensive models for learning spatio-temporal dependencies of the action.
1 code implementation • 16 Sep 2021 • Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique, Joonmo Kim, Moongu Jeon
We propose label-attention Transformer with geometrically coherent objects (LATGeO).
1 code implementation • 11 Sep 2021 • Muhamamd Ishfaq Hussain, Muhammad Aasim Rafique, Moongu Jeon
This work explores the utility of coarse signals from radar when fused with fine-grained data from a monocular camera for depth estimation in harsh environmental conditions.
no code implementations • 1 Jun 2020 • Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Muhammad Ishfaq Hussain, Moongu Jeon
In the first part of this study, we explore the pipeline of parsing decision commands from the path tracking algorithm to the controller and proposed a neural network-based controller ($N^2C$) using behavioral cloning.