24 citations · 26 across the 5 of their papers we have counts for
9 papers
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
Hao Cheng, Kim-Hui Yap, Bihan Wen
Recent image classification algorithms, by learning deep features from large-scale datasets, have achieved significantly better results comparing to the classic feature-based appro…
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler +2
We examine two key questions in GAN training, namely overfitting and mode drop, from an empirical perspective. We show that when stochasticity is removed from the training procedur…
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei, Guosheng Lin, Kim-Hui Yap +2
Point clouds provide intrinsic geometric information and surface context for scene understanding. Existing methods for point cloud segmentation require a large amount of fully labe…
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap
This paper proposes Attribute Attention Network (AANet), a new architecture that integrates person attributes and attribute attention maps into a classification framework to solve…
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo +4
We propose a GAN design which models multiple distributions effectively and discovers their commonalities and particularities. Each data distribution is modeled with a mixture of $…
Interest Point Detection based on Adaptive Ternary Coding
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang
In this paper, an adaptive pixel ternary coding mechanism is proposed and a contrast invariant and noise resistant interest point detector is developed on the basis of this mechani…