no code implementations • 29 Oct 2023 • Suraj Singireddy, Andre Beckus, George Atia, Sumit Jha, Alvaro Velasquez
Reinforcement learning (RL) is a powerful tool for finding optimal policies in sequential decision processes.
1 code implementation • 31 May 2023 • Chase Walker, Sumit Jha, Kenny Chen, Rickard Ewetz
Attribution algorithms are frequently employed to explain the decisions of neural network models.
no code implementations • 10 Jan 2023 • Ismail Alkhouri, Sumit Jha, Andre Beckus, George Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha
To measure the robustness of the predicted structures, we utilize (i) the root-mean-square deviation (RMSD) and (ii) the Global Distance Test (GDT) similarity measure between the predicted structure of the original sequence and the structure of its adversarially perturbed version.
no code implementations • 23 Dec 2020 • Sumit Jha, Carlos Busso
Specific traits in human behavior can be automatically predicted, which can help the vehicle make decisions, increasing safety.
no code implementations • 23 Dec 2020 • Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed H. Mahmoud, Naofal Al-Dhahir Carlos Busso
We use the Fi- Cap device that continuously tracks the head movement of the driver using fiducial markers, providing frame-based annotations to train head pose algorithms in naturalistic driving conditions.