4 citations · 5 across the 5 of their papers we have counts for
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cs.CV2023★ 1 cited
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects
Zhuofan Ying, Peter Hase, Mohit Bansal
Biological vision systems make adaptive use of context to recognize objects in new settings with novel contexts as well as occluded or blurry objects in familiar settings. In this…
cs.CV2022★ 4 cited
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives
Zhuofan Ying, Peter Hase, Mohit Bansal
Many past works aim to improve visual reasoning in models by supervising feature importance (estimated by model explanation techniques) with human annotations such as highlights of…
cs.CV2020
Can Deep Learning Recognize Subtle Human Activities?
Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
Deep Learning has driven recent and exciting progress in computer vision, instilling the belief that these algorithms could solve any visual task. Yet, datasets commonly used to tr…