5 citations · 9 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2014★ 3 cited
Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
Mingmin Zhao, Chengxu Zhuang, Yizhou Wang +1
We propose a new neurally-inspired model that can learn to encode the global relationship context of visual events across time and space and to use the contextual information to mo…
cs.LG2012★ 5 cited
Stochastic Feature Mapping for PAC-Bayes Classification
Xiong Li, Tai Sing Lee, Yuncai Liu
Probabilistic generative modeling of data distributions can potentially exploit hidden information which is useful for discriminative classification. This observation has motivated…