10 papers
Personalized Emotional Intelligence in Generative AI through Symbolic Affective Reasoning
Qing Lin, Mengmi Zhang
Emotional intelligence enables humans to recognize emotions, infer their causes, reason about interventions, and modify their environment to achieve desired affective states. Despi…
PRISM: Progressive Reasoning through Iterative Slot Memory for Vision
Ziyu Wang, Shuangpeng Han, Mengmi Zhang
Modern vision models process images in a single feed-forward pass, which limits their ability to recover missing evidence or refine uncertain representations under incomplete obser…
Learning to Perceive "Where": Spatial Pretext Tasks for Robust Self-Supervised Learning
Yang Shen, Yusen Cai, Weronika Hryniewska-Guzik +2
Existing self-supervised learning (SSL) methods primarily learn object-invariant representations but often neglect the spatial structure and relationships among object parts. To ad…
Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines
Yusen Cai, Qing Lin, Bhargava Satya Nunna +1
Newborns perceive the world with low-acuity, color-degraded, and temporally continuous vision, which gradually sharpens as infants develop. To explore the ecological advantages of…
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…
Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction
Zhengquan Zhang, Feng Xu, Mengmi Zhang
Some perspectives naturally provide more information than others. How can an AI system determine which viewpoint offers the most valuable insight for accurate and efficient 3D obje…