3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025
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…
cs.CV2023★ 3 cited
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Tianqin Li, Ziqi Wen, Yangfan Li +1
Current deep-learning models for object recognition are known to be heavily biased toward texture. In contrast, human visual systems are known to be biased toward shape and structu…
cs.CV2023
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Ziqi Wen, Tianqin Li, Zhi Jing +1
Deep learning models are known to exhibit a strong texture bias, while human tends to rely heavily on global shape structure for object recognition. The current benchmark for evalu…