4 papers
Perceptual Inductive Bias Is What You Need Before Contrastive Learning
Tianqin Li, Junru Zhao, Dunhan Jiang +3
David Marr's seminal theory of human perception stipulates that visual processing is a multi-stage process, prioritizing the derivation of boundary and surface properties before fo…
Learning More by Seeing Less: Structure First Learning for Efficient, Transferable, and Human-Aligned Vision
Tianqin Li, George Liu, Tai Sing Lee
Despite remarkable progress in computer vision, modern recognition systems remain fundamentally limited by their dependence on rich, redundant visual inputs. In contrast, humans ca…
ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads
Yifan Li, Xin Li, Tianqin Li +3
Vision foundation models (VFMs) have demonstrated remarkable performance across a wide range of downstream tasks. While several VFM adapters have shown promising results by leverag…
From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models
Tianqin Li, Ziqi Wen, Leiran Song +3
Human vision organizes local cues into coherent global forms using Gestalt principles like closure, proximity, and figure-ground assignment -- functions reliant on global spatial s…