Zhangyang Wang

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

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Controllable Artistic Text Style Transfer via Shape-Matching GAN

Artistic text style transfer is the task of migrating the style from a s...
05/03/2019 ∙ by Shuai Yang, et al. ∙ 19 ∙ share

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Adversarially Trained Model Compression: When Robustness Meets Efficiency

The robustness of deep models to adversarial attacks has gained signific...
02/10/2019 ∙ by Shupeng Gui, et al. ∙ 15 ∙ share

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AutoGAN: Neural Architecture Search for Generative Adversarial Networks

Neural architecture search (NAS) has witnessed prevailing success in ima...
08/11/2019 ∙ by Xinyu Gong, et al. ∙ 10 ∙ share

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Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches

Sketch-based image editing aims to synthesize and modify photos based on...
01/09/2020 ∙ by Shuai Yang, et al. ∙ 10 ∙ share

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Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

Plug-and-play (PnP) is a non-convex framework that integrates modern den...
05/14/2019 ∙ by Ernest K. Ryu, et al. ∙ 9 ∙ share

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Segmentation-Aware Image Denoising without Knowing True Segmentation

Several recent works discussed application-driven image restoration neur...
05/22/2019 ∙ by Sicheng Wang, et al. ∙ 8 ∙ share

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Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

Object detection from images captured by Unmanned Aerial Vehicles (UAVs)...
08/11/2019 ∙ by Zhenyu Wu, et al. ∙ 8 ∙ share

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Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Segmentation of ultra-high resolution images is increasingly demanded, y...
05/15/2019 ∙ by Wuyang Chen, et al. ∙ 6 ∙ share

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

We present a new end-to-end generative adversarial network (GAN) for sin...
08/10/2019 ∙ by Orest Kupyn, et al. ∙ 6 ∙ share

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Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

In recent years, unfolding iterative algorithms as neural networks has b...
08/29/2018 ∙ by Xiaohan Chen, et al. ∙ 5 ∙ share

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ABD-Net: Attentive but Diverse Person Re-Identification

Attention mechanism has been shown to be effective for person re-identif...
08/03/2019 ∙ by Tianlong Chen, et al. ∙ 4 ∙ share

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DAVID: Dual-Attentional Video Deblurring

Blind video deblurring restores sharp frames from a blurry sequence with...
12/07/2019 ∙ by Junru Wu, et al. ∙ 4 ∙ share

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Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms

How can we effectively engineer a computer vision system that is able to...
07/26/2019 ∙ by Sreya Banerjee, et al. ∙ 2 ∙ share

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Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

We present our preliminary work to determine if patient's vocal acoustic...
11/29/2017 ∙ by Aven Samareh, et al. ∙ 1 ∙ share

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End-to-End United Video Dehazing and Detection

The recent development of CNN-based image dehazing has revealed the effe...
09/12/2017 ∙ by Boyi Li, et al. ∙ 1 ∙ share

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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...
09/10/2017 ∙ by Bowen Cheng, et al. ∙ 1 ∙ share

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An All-in-One Network for Dehazing and Beyond

This paper proposes an image dehazing model built with a convolutional n...
07/20/2017 ∙ by Boyi Li, et al. ∙ 1 ∙ share

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Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters

This paper emphasizes the significance to jointly exploit the problem st...
08/23/2016 ∙ by Zhangyang Wang, et al. ∙ 1 ∙ share

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

This paper aims to improve privacy-preserving visual recognition, an inc...
07/22/2018 ∙ by Zhenyu Wu, et al. ∙ 1 ∙ share

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Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset

This paper aims to boost privacy-preserving visual recognition, an incre...
06/12/2019 ∙ by Haotao Wang, et al. ∙ 1 ∙ share

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Stacked Approximated Regression Machine: A Simple Deep Learning Approach

With the agreement of my coauthors, I Zhangyang Wang would like to withd...
08/14/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Learning Deep ℓ_0 Encoders

Despite its nonconvex nature, ℓ_0 sparse approximation is desirable in m...
09/01/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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UnitBox: An Advanced Object Detection Network

In present object detection systems, the deep convolutional neural netwo...
08/04/2016 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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Learning A Deep ℓ_∞ Encoder for Hashing

We investigate the ℓ_∞-constrained representation which demonstrates rob...
04/06/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Brain-Inspired Deep Networks for Image Aesthetics Assessment

Image aesthetics assessment has been challenging due to its subjective n...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Studying Very Low Resolution Recognition Using Deep Networks

Visual recognition research often assumes a sufficient resolution of the...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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D^3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

In this paper, we design a Deep Dual-Domain (D^3) based fast restoration...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Learning A Task-Specific Deep Architecture For Clustering

While sparse coding-based clustering methods have shown to be successful...
09/01/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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DeepFont: Identify Your Font from An Image

As font is one of the core design concepts, automatic font identificatio...
07/12/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Self-Tuned Deep Super Resolution

Deep learning has been successfully applied to image super resolution (S...
04/22/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Real-World Font Recognition Using Deep Network and Domain Adaptation

We address a challenging fine-grain classification problem: recognizing ...
03/31/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Designing A Composite Dictionary Adaptively From Joint Examples

We study the complementary behaviors of external and internal examples i...
03/12/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Learning Super-Resolution Jointly from External and Internal Examples

Single image super-resolution (SR) aims to estimate a high-resolution (H...
03/03/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Decomposition-Based Domain Adaptation for Real-World Font Recognition

We present a domain adaption framework to address a domain mismatch betw...
12/18/2014 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Enhance Visual Recognition under Adverse Conditions via Deep Networks

Visual recognition under adverse conditions is a very important and chal...
12/20/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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RESIDE: A Benchmark for Single Image Dehazing

In this paper, we present a comprehensive study and evaluation of existi...
12/12/2017 ∙ by Boyi Li, et al. ∙ 0 ∙ share

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Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases

Over the past decade a wide spectrum of machine learning models have bee...
02/19/2018 ∙ by Mengying Sun, et al. ∙ 0 ∙ share

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L_p-Norm Constrained Coding With Frank-Wolfe Network

We investigate the problem of L_p-norm constrained coding, i.e. converti...
02/28/2018 ∙ by Ke Sun, et al. ∙ 0 ∙ share

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Learning Simple Thresholded Features with Sparse Support Recovery

The thresholded feature has recently emerged as an extremely efficient, ...
04/16/2018 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Motivation: Drug discovery demands rapid quantification of compound-prot...
06/20/2018 ∙ by Mostafa Karimi, et al. ∙ 0 ∙ share

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Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

The current trend of pushing CNNs deeper with convolutions has created a...
06/24/2018 ∙ by Junru Wu, et al. ∙ 0 ∙ share

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Improved Techniques for Learning to Dehaze and Beyond: A Collective Study

This paper reviews the collective endeavors by the team of authors in ex...
06/30/2018 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting

This paper studies the challenging problem of fingerprint image denoisin...
07/29/2018 ∙ by Ramakrishna Prabhu, et al. ∙ 0 ∙ share

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DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification

Deep learning has revolutionized the performance of classification, but ...
08/29/2018 ∙ by Xiaofeng Zhang, et al. ∙ 0 ∙ share

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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

Image denoising and high-level vision tasks are usually handled independ...
09/06/2018 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

This paper seeks to answer the question: as the (near-) orthogonality of...
10/22/2018 ∙ by Nitin Bansal, et al. ∙ 0 ∙ share

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Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models

Emerging wearable sensors have enabled the unprecedented ability to cont...
01/08/2019 ∙ by Randy Ardywibowo, et al. ∙ 0 ∙ share

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Bridging the Gap Between Computational Photography and Visual Recognition

What is the current state-of-the-art for image restoration and enhanceme...
01/28/2019 ∙ by Rosaura G. VidalMata, et al. ∙ 0 ∙ share

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Single Image Deraining: A Comprehensive Benchmark Analysis

We present a comprehensive study and evaluation of existing single image...
03/20/2019 ∙ by Siyuan Li, et al. ∙ 0 ∙ share

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Zhangyang Wang

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