18 citations · 22 across the 5 of their papers we have counts for
5 papers
Gaze Target Estimation Anywhere with Concepts
Xu Cao, Houze Yang, Vipin Gunda +5
Estimating human gaze targets from images in-the-wild is an important and formidable task. Existing approaches primarily employ brittle, multi-stage pipelines that require explicit…
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Sonia Baee, Erfan Pakdamanian, Inki Kim +3
Inspired by human visual attention, we propose a novel inverse reinforcement learning formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for predicting…
A Case Study of Trust on Autonomous Driving
Shili Sheng, Erfan Pakdamanian, Kyungtae Han +4
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and…
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems
Brian An, Inki Kim, Erfan Pakdamanian +1
The recent growth of sophisticated digital gaming technologies has spawned an $8.1B industry around using these games for pedagogical purposes. Though Digital Game-Based Learning…
The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve
Erfan Pakdamanian, Lu Feng, Inki Kim
It remains uncertain regarding the safety of driving in autonomous vehicles that, after a long, passive control and inattention to the driving situation, how the drivers will be ef…