Yizhou Yu

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Association for Computing Machinery ∙ Zhejiang University ∙ The University of Hong Kong ∙ Columbia University

Professor at The University of Hong Kong, Adjunct Professor at University of Illinois at Urbana-Champaign from 2012-2016, Assistant/Associate Professor at University of Illinois at Urbana-Champaign from 2000-2012, Visiting Researcher at Microsoft Research Asia 2008, PhD degree in computer science from the computer vision group at University of California, Berkeley, 2002 US National Science Foundation CAREER Award, 2007 NNSF China Overseas Distinguished Young Investigator Award, 2011 and 2005 ACM SCA Best Paper Awards, and 1998 Microsoft Graduate Fellowship.

Featured Co-authors

Yang Liu
344 publications
Lei Zhang
219 publications
Liang Lin
156 publications
Yang Wang
140 publications
Yue Wang
118 publications
Xiaodan Liang
98 publications
Zhe Wang
83 publications
Hao Zhang
58 publications
Jing Li
58 publications
Feng Liu
56 publications
Guanbin Li
56 publications

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

Universal lesion detection from computed tomography (CT) slices is impor...
12/16/2020 ∙ by Shu Zhang, et al. ∙ 14 ∙ share

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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

Automatic blood vessel extraction from 3D medical images is crucial for ...
12/14/2020 ∙ by Jiafa He, et al. ∙ 10 ∙ share

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Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

Despite deep convolutional neural networks achieved impressive progress ...
12/10/2020 ∙ by Liyan Sun, et al. ∙ 4 ∙ share

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Adaptive noise imitation for image denoising

The effectiveness of existing denoising algorithms typically relies on a...
11/30/2020 ∙ by Huangxing Lin, et al. ∙ 4 ∙ share

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A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision

Standard segmentation of medical images based on full-supervised convolu...
10/23/2020 ∙ by Liyan Sun, et al. ∙ 7 ∙ share

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The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

The detection of thoracic abnormalities challenge is organized by the De...
10/19/2020 ∙ by Jie Lian, et al. ∙ 4 ∙ share

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Contralaterally Enhanced Networks for Thoracic Disease Detection

Identifying and locating diseases in chest X-rays are very challenging, ...
10/09/2020 ∙ by Gangming Zhao, et al. ∙ 5 ∙ share

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Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

Analyzing the morphological attributes of blood vessels plays a critical...
10/09/2020 ∙ by Yicheng Wu, et al. ∙ 8 ∙ share

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Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Mammogram benign or malignant classification with only image-level label...
09/30/2020 ∙ by Chu-ran Wang, et al. ∙ 1 ∙ share

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Online Alternate Generator against Adversarial Attacks

The field of computer vision has witnessed phenomenal progress in recent...
09/17/2020 ∙ by Haofeng Li, et al. ∙ 1 ∙ share

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Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation

Brain midline delineation can facilitate the clinical evaluation of brai...
07/10/2020 ∙ by Shen Wang, et al. ∙ 10 ∙ share

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ChestX-det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

Instance level detection of thoracic diseases or abnormalities are cruci...
06/17/2020 ∙ by Jingyu Liu, et al. ∙ 0 ∙ share

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Kernel Quantization for Efficient Network Compression

This paper presents a novel network compression framework Kernel Quantiz...
03/11/2020 ∙ by Zhongzhi Yu, et al. ∙ 0 ∙ share

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Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

The midline related pathological image features are crucial for evaluati...
02/27/2020 ∙ by Shen Wang, et al. ∙ 32 ∙ share

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When Relation Networks meet GANs: Relation GANs with Triplet Loss

Though recent research has achieved remarkable progress in generating re...
02/24/2020 ∙ by Runmin Wu, et al. ∙ 0 ∙ share

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Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread

Recently deep convolutional neural networks have achieved significant su...
01/22/2020 ∙ by Haofeng Li, et al. ∙ 8 ∙ share

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Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Recently 3D volumetric organ segmentation attracts much research interes...
11/23/2019 ∙ by Chaowei Fang, et al. ∙ 13 ∙ share

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Self-Enhanced Convolutional Network for Facial Video Hallucination

As a domain-specific super-resolution problem, facial image hallucinatio...
11/23/2019 ∙ by Chaowei Fang, et al. ∙ 19 ∙ share

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Dynamic Graph Attention for Referring Expression Comprehension

Referring expression comprehension aims to locate the object instance de...
09/18/2019 ∙ by Sibei Yang, et al. ∙ 0 ∙ share

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Motion Guided Attention for Video Salient Object Detection

Video salient object detection aims at discovering the most visually dis...
09/16/2019 ∙ by Haofeng Li, et al. ∙ 7 ∙ share

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MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection

Universal lesion detection (ULD) on computed tomography (CT) images is a...
09/10/2019 ∙ by Zihao Li, et al. ∙ 4 ∙ share

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Cross-Modal Relationship Inference for Grounding Referring Expressions

Grounding referring expressions is a fundamental yet challenging task fa...
06/11/2019 ∙ by Sibei Yang, et al. ∙ 0 ∙ share

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ROSA: Robust Salient Object Detection against Adversarial Attacks

Recently salient object detection has witnessed remarkable improvement o...
05/09/2019 ∙ by Haofeng Li, et al. ∙ 0 ∙ share

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Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Recent progress in biomedical image segmentation based on deep convoluti...
04/27/2019 ∙ by Xiang He, et al. ∙ 0 ∙ share

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A Benchmark for Edge-Preserving Image Smoothing

Edge-preserving image smoothing is an important step for many low-level ...
04/02/2019 ∙ by Feida Zhu, et al. ∙ 0 ∙ share

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Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment

The collection of internet images has been growing in an astonishing spe...
04/01/2019 ∙ by Kan Wu, et al. ∙ 0 ∙ share

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Multi-source weak supervision for saliency detection

The high cost of pixel-level annotations makes it appealing to train sal...
04/01/2019 ∙ by Yu Zeng, et al. ∙ 0 ∙ share

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FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

Modern approaches for semantic segmentation usually employ dilated convo...
03/28/2019 ∙ by Huikai Wu, et al. ∙ 12 ∙ share

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Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

Given a training dataset composed of images and corresponding category l...
03/07/2019 ∙ by Weifeng Ge, et al. ∙ 0 ∙ share

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Transductive Zero-Shot Learning with Visual Structure Constraint

Zero-shot Learning (ZSL) aims to recognize objects of the unseen classes...
01/06/2019 ∙ by Ziyu Wan, et al. ∙ 0 ∙ share

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Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

Facial landmark localization plays a critical role in face recognition a...
12/10/2018 ∙ by Lingbo Liu, et al. ∙ 4 ∙ share

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Automatic Image Stylization Using Deep Fully Convolutional Networks

Color and tone stylization strives to enhance unique themes with artisti...
11/27/2018 ∙ by Feida Zhu, et al. ∙ 0 ∙ share

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Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification

Single image superresolution has been a popular research topic in the la...
09/18/2018 ∙ by Weifeng Ge, et al. ∙ 12 ∙ share

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CaricatureShop: Personalized and Photorealistic Caricature Sketching

In this paper, we propose the first sketching system for interactively p...
07/24/2018 ∙ by Xiaoguang Han, et al. ∙ 6 ∙ share

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ReCoNet: Real-time Coherent Video Style Transfer Network

Image style transfer models based on convolutional neural networks usual...
07/03/2018 ∙ by Chang Gao, et al. ∙ 0 ∙ share

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Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks

Digital cameras and mobile phones enable us to conveniently record preci...
05/08/2018 ∙ by Yujing Sun, et al. ∙ 2 ∙ share

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Contrast-Oriented Deep Neural Networks for Salient Object Detection

Deep convolutional neural networks have become a key element in the rece...
03/30/2018 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Supervised object detection and semantic segmentation require object or ...
02/26/2018 ∙ by Weifeng Ge, et al. ∙ 0 ∙ share

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Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Recently, in the community of Neural Style Transfer, several algorithms ...
02/20/2018 ∙ by Yongcheng Jing, et al. ∙ 0 ∙ share

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Piecewise Flat Embedding for Image Segmentation

We propose a new nonlinear embedding -- Piecewise Flat Embedding (PFE) -...
02/09/2018 ∙ by Chaowei Fang, et al. ∙ 0 ∙ share

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Context-Aware Semantic Inpainting

Recently image inpainting has witnessed rapid progress due to generative...
12/21/2017 ∙ by Haofeng Li, et al. ∙ 0 ∙ share

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High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

We propose a data-driven method for recovering miss-ing parts of 3D shap...
09/22/2017 ∙ by Xiaoguang Han, et al. ∙ 0 ∙ share

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DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling

Face modeling has been paid much attention in the field of visual comput...
06/07/2017 ∙ by Xiaoguang Han, et al. ∙ 0 ∙ share

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Predicting membrane protein contacts from non-membrane proteins by deep transfer learning

Computational prediction of membrane protein (MP) structures is very cha...
04/24/2017 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Deep neural networks require a large amount of labeled training data dur...
02/28/2017 ∙ by Weifeng Ge, et al. ∙ 0 ∙ share

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Visual Saliency Detection Based on Multiscale Deep CNN Features

Visual saliency is a fundamental problem in both cognitive and computati...
09/07/2016 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

Protein secondary structure prediction is an important problem in bioinf...
04/25/2016 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Semantic labeling of RGB-D scenes is crucial to many intelligent applica...
04/18/2016 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation

State-of-the-art results of semantic segmentation are established by Ful...
03/15/2016 ∙ by Zhicheng Yan, et al. ∙ 0 ∙ share

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Deep Contrast Learning for Salient Object Detection

Salient object detection has recently witnessed substantial progress due...
03/07/2016 ∙ by Guanbin Li, et al. ∙ 0 ∙ share

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