3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision
Jie Jing, Yongjian Huang, Serena J. -W. Wang +5
We introduce intra-class memorability, where certain images within the same class are more memorable than others despite shared category characteristics. To investigate what featur…
Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
Ziyu Wang, Shuangpeng Han, Mengmi Zhang
A prior represents a set of beliefs or assumptions about a system, aiding inference and decision-making. In this paper, we introduce the challenge of unsupervised categorical prior…
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han, Mengmi Zhang
AI models make mistakes when recognizing images-whether in-domain, out-of-domain, or adversarial. Predicting these errors is critical for improving system reliability, reducing cos…
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
Shuangpeng Han, Ziyu Wang, Mengmi Zhang
Biological motion perception (BMP) refers to humans' ability to perceive and recognize the actions of living beings solely from their motion patterns, sometimes as minimal as those…