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16 papers · 2 filters
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng, Yue Qian, Zhiyu Zhu +3
Motivated by the intuition that one can transform two aligned point clouds to each other more easily and meaningfully than a misaligned pair, we propose CorrNet3D -- the first unsu…
VCE: Variational Convertor-Encoder for One-Shot Generalization
Chengshuai Li, Shuai Han, Jianping Xing
Variational Convertor-Encoder (VCE) converts an image to various styles; we present this novel architecture for the problem of one-shot generalization and its transfer to new tasks…
Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Guoliang Liu, Qinghui Zhang, Yichao Cao +3
Online action recognition is an important task for human centered intelligent services, which is still difficult to achieve due to the varieties and uncertainties of spatial and te…
Self-paced and self-consistent co-training for semi-supervised image segmentation
Ping Wang, Jizong Peng, Marco Pedersoli +3
Deep co-training has recently been proposed as an effective approach for image segmentation when annotated data is scarce. In this paper, we improve existing approaches for semi-su…
Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao Kang, Xingbo Liu, Xiushan Nie +2
Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep learning-based methods try to confront this challeng…
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
Xiao Kang, Xingbo Liu, Xiushan Nie +1
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive rese…