18 citations · 22 across the 5 of their papers we have counts for
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cs.CV2026
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…
cs.CV2019★ 1 cited
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…