309 citations · 1.6k across the 77 of their papers we have counts for
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A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
Sparse coding has achieved a great success in various image processing tasks. However, a benchmark to measure the sparsity of image patch/group is missing since sparse coding is es…
A Fully Trainable Network with RNN-based Pooling
Shuai Li, Wanqing Li, Chris Cook +2
Pooling is an important component in convolutional neural networks (CNNs) for aggregating features and reducing computational burden. Compared with other components such as convolu…
Towards thinner convolutional neural networks through Gradually Global Pruning
Zhengtao Wang, Ce Zhu, Zhiqiang Xia +2
Deep network pruning is an effective method to reduce the storage and computation cost of deep neural networks when applying them to resource-limited devices. Among many pruning gr…
Attribute-controlled face photo synthesis from simple line drawing
Qi Guo, Ce Zhu, Zhiqiang Xia +2
Face photo synthesis from simple line drawing is a one-to-many task as simple line drawing merely contains the contour of human face. Previous exemplar-based methods are over-depen…
Iterative Block Tensor Singular Value Thresholding for Extraction of Low Rank Component of Image Data
Longxi Chen, Yipeng Liu, Ce Zhu
Tensor principal component analysis (TPCA) is a multi-linear extension of principal component analysis which converts a set of correlated measurements into several principal compon…