Search Results - "Wang, Zhangyang"

DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks by Karimi, Mostafa, Wu, Di, Wang, Zhangyang, Shen, Yang

“…Abstract Motivation Drug discovery demands rapid quantification of compound–protein interaction (CPI). However, there is a lack of methods that can predict…”
Get full text

AOD-Net: All-in-One Dehazing Network by Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng

“…This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based…”
Get full text

AutoGAN: Neural Architecture Search for Generative Adversarial Networks by Gong, Xinyu, Chang, Shiyu, Jiang, Yifan, Wang, Zhangyang

“…Neural architecture search (NAS) has witnessed prevailing success in image classification and (very recently) segmentation tasks. In this paper, we present the…”
Get full text

Pathogenesis and pathophysiology of idiopathic normal pressure hydrocephalus by Wang, Zhangyang, Zhang, Yiying, Hu, Fan, Ding, Jing, Wang, Xin

“…Idiopathic normal pressure hydrocephalus (iNPH), the most common type of adult‐onset hydrocephalus, is a potentially reversible neuropsychiatric entity…”
Get full text

Studying Very Low Resolution Recognition Using Deep Networks by Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Huang, Thomas S.

“…Visual recognition research often assumes a sufficient resolution of the region of interest (ROI). That is usually violated in practice, inspiring us to…”
Get full text

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study by Chen, Tianlong, Zhou, Kaixiong, Duan, Keyu, Zheng, Wenqing, Wang, Peihao, Hu, Xia, Wang, Zhangyang

“…Training deep graph neural networks (GNNs) is notoriously hard. Besides the standard plights in training deep architectures such as vanishing gradients and…”
Get full text

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach by Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Huang, Thomas S.

“…Video super-resolution (SR) aims at estimating a high-resolution video sequence from a low-resolution (LR) one. Given that the deep learning has been…”
Get full text

Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition by Yan, Jiebin, Zhong, Yu, Fang, Yuming, Wang, Zhangyang, Ma, Kede

“…Semantic segmentation is an extensively studied task in computer vision, with numerous methods proposed every year. Thanks to the advent of deep learning in…”
Get full text

Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization by Zhangyang Wang, Nasrabadi, Nasser M., Huang, Thomas S.

“…We present a semisupervised method for single-pixel classification of hyperspectral images. The proposed method is designed to address the special problematic…”
Get full text

Conference on graphics, patterns and images by Cesar, Roberto, Musse, Soraia Raupp, Pelechano, Nuria, (Atlas) Wang, Zhangyang

Get full text

Enhance Visual Recognition Under Adverse Conditions via Deep Networks by Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Huang, Thomas S.

“…Visual recognition under adverse conditions is a very important and challenging problem of high practical value, due to the ubiquitous existence of quality…”
Get full text

Robust Video Super-Resolution with Learned Temporal Dynamics by Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Huang, Thomas

“…Video super-resolution (SR) aims to generate a high-resolution (HR) frame from multiple low-resolution (LR) frames in a local temporal window. The inter-frame…”
Get full text

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks by You, Yuning, Chen, Tianlong, Wang, Zhangyang, Shen, Yang

“…Graph convolution networks (GCN) are increasingly popular in many applications, yet remain notoriously hard to train over large graph datasets. They need to…”
Get full text

A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives by Li, Siyuan, Ren, Wenqi, Wang, Feng, Araujo, Iago Breno, Tokuda, Eric K., Junior, Roberto Hirata, Cesar-Jr, Roberto M., Wang, Zhangyang, Cao, Xiaochun

“…The capability of image deraining is a highly desirable component of intelligent decision-making in autonomous driving and outdoor surveillance systems. Image…”
Get full text

Controllable Artistic Text Style Transfer via Shape-Matching GAN by Yang, Shuai, Wang, Zhangyang, Wang, Zhaowen, Xu, Ning, Liu, Jiaying, Guo, Zongming

“…Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer…”
Get full text

Learning Super-Resolution Jointly From External and Internal Examples by Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Huang, Thomas S.

“…Single image super-resolution (SR) aims to estimate a high-resolution (HR) image from a low-resolution (LR) input. Image priors are commonly learned to…”
Get full text

Editorial for the Special Issue on Advanced Machine Learning Techniques for Sensing and Imaging Applications by Wen, Bihan, Wang, Zhangyang

“…Recent advances in machine learning, from large-scale optimization to building deep neural networks, are increasingly being applied in the emerging field of…”
Get full text

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images by Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Huang, Thomas S.

“…In this paper, we design a Deep Dual-Domain (D3) based fast restoration model to remove artifacts of JPEG compressed images. It leverages the large learning…”
Get full text

Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks by Ma, Andong, Filippi, Anthony, Wang, Zhangyang, Yin, Zhengcong

“…Classification is a common objective when analyzing hyperspectral images, where each pixel is assigned to a predefined label. Deep learning-based algorithms…”
Get full text

Improving model fairness in image-based computer-aided diagnosis by Lin, Mingquan, Li, Tianhao, Yang, Yifan, Holste, Gregory, Ding, Ying, Van Tassel, Sarah H., Kovacs, Kyle, Shih, George, Wang, Zhangyang, Lu, Zhiyong, Wang, Fei, Peng, Yifan

“…Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians…”
Get full text