no code implementations • 10 Dec 2023 • Hemanth Manjunatha, Panagiotis Tsiotras
Moreover, by exploring the significance of each modality, this study offers a roadmap for future research in autonomous driving, emphasizing the importance of leveraging multiple models to achieve robust performance.
no code implementations • 24 May 2023 • Hemanth Manjunatha, Andrey Pak, Dimitar Filev, Panagiotis Tsiotras
For this purpose, deep learning models can be used to learn compact latent representations from a stream of incoming data.
no code implementations • 18 May 2022 • Andrey Pak, Hemanth Manjunatha, Dimitar Filev, Panagiotis Tsiotras
Thus, there is a need for deep learning models that explicitly consider the temporal dependence of the data in their architecture.
no code implementations • 5 Dec 2020 • Chaitanya Thammineni, Hemanth Manjunatha, Ehsan T. Esfahani
This paper presents the selective use of eye-gaze information in learning human actions in Atari games.