3 citations · 4 across the 2 of their papers we have counts for
2 papers
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.CV2022★ 1 cited
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators
Andrew Luo, Tianqin Li, Wen-Hao Zhang +1
Recent advances in deep generative models have led to immense progress in 3D shape synthesis. While existing models are able to synthesize shapes represented as voxels, point-cloud…