1.6k citations · 7.3k across the 231 of their papers we have counts for
7 papers · 1 filter
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters
Zhangyang Wang, Thomas S. Huang
This paper emphasizes the significance to jointly exploit the problem structure and the parameter structure, in the context of deep modeling. As a specific and interesting example,…
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang, Shiyu Chang, Qing Ling +4
With the agreement of my coauthors, I Zhangyang Wang would like to withdraw the manuscript "Stacked Approximated Regression Machine: A Simple Deep Learning Approach". Some experime…
UnitBox: An Advanced Object Detection Network
Jiahui Yu, Yuning Jiang, Zhangyang Wang +2
In present object detection systems, the deep convolutional neural networks (CNNs) are utilized to predict bounding boxes of object candidates, and have gained performance advantag…
Learning A Deep Encoder for Hashing
Zhangyang Wang, Yingzhen Yang, Shiyu Chang +2
We investigate the -constrained representation which demonstrates robustness to quantization errors, utilizing the tool of deep learning. Based on the Alternating Dire…
Brain-Inspired Deep Networks for Image Aesthetics Assessment
Zhangyang Wang, Shiyu Chang, Florin Dolcos +3
Image aesthetics assessment has been challenging due to its subjective nature. Inspired by the scientific advances in the human visual perception and neuroaesthetics, we design Bra…
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang +2
Visual recognition research often assumes a sufficient resolution of the region of interest (ROI). That is usually violated in practice, inspiring us to explore the Very Low Resolu…