Search Results for author: Yizhou Yu

Found 81 papers, 31 papers with code

Propagating Over Phrase Relations for One-Stage Visual Grounding

no code implementations ECCV 2020 Sibei Yang, Guanbin Li, Yizhou Yu

Phrase level visual grounding aims to locate in an image the corresponding visual regions referred to by multiple noun phrases in a given sentence.

Phrase Grounding Relational Reasoning +1

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts

1 code implementation9 Sep 2021 Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu

From this perspective, we introduce Preservational Learning to reconstruct diverse image contexts in order to preserve more information in learned representations.

Contrastive Learning Representation Learning +1

nnFormer: Interleaved Transformer for Volumetric Segmentation

1 code implementation7 Sep 2021 Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu

Compared to the naive voxel-level self-attention implementation, such volume-based operations help to reduce the computational complexity by approximate 98% and 99. 5% on Synapse and ACDC datasets, respectively.

Medical Image Segmentation

Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

no code implementations24 Aug 2021 Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu

The first stage structuralizes test results by extracting relevant numerical values from clinical notes, and the disease identification stage provides a diagnosis based on text-form clinical notes and the structured data obtained from the first stage.

ME-PCN: Point Completion Conditioned on Mask Emptiness

no code implementations18 Aug 2021 Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu

Main-stream methods predict the missing shapes by decoding a global feature learned from the input point cloud, which often leads to deficient results in preserving topology consistency and surface details.

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

1 code implementation16 Aug 2021 Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye

Data augmentation is a widely used strategy that improves the training of CNNs, and the design of the augmentation method for brain lesion segmentation is still an open problem.

Data Augmentation Lesion Segmentation

ConvNets vs. Transformers: Whose Visual Representations are More Transferable?

no code implementations11 Aug 2021 Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu

Vision transformers have attracted much attention from computer vision researchers as they are not restricted to the spatial inductive bias of ConvNets.

Classification Depth Estimation +3

GraphFPN: Graph Feature Pyramid Network for Object Detection

no code implementations2 Aug 2021 Gangming Zhao, Weifeng Ge, Yizhou Yu

State-of-the-art methods for multi-scale feature learning focus on performing feature interactions across space and scales using neural networks with a fixed topology.

Object Detection

Multi-scale Matching Networks for Semantic Correspondence

1 code implementation31 Jul 2021 Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu

We follow the coarse-to-fine matching strategy and build a top-down feature and matching enhancement scheme that is coupled with the multi-scale hierarchy of deep convolutional neural networks.

Semantic correspondence

Bottom-Up Shift and Reasoning for Referring Image Segmentation

1 code implementation CVPR 2021 Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu

In this paper, we tackle the challenge by jointly performing compositional visual reasoning and accurate segmentation in a single stage via the proposed novel Bottom-Up Shift (BUS) and Bidirectional Attentive Refinement (BIAR) modules.

Semantic Segmentation Visual Reasoning

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

no code implementations31 May 2021 Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

In this paper, to address the above issues, we propose a hierarchical deep network where an attention mechanism localizes the low-contrast capillary regions guided by the whole vessels, and enhance the spatial activation in those areas for the sub-type vessels.

Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection

no code implementations21 May 2021 Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu

In this paper, we propose an Anatomy-aware Graph convolutional Network (AGN), which is tailored for mammogram mass detection and endows existing detection methods with multi-view reasoning ability.

Decision Making Object Detection

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

1 code implementation21 Apr 2021 Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu

Leveraging on constant structure and disease relations extracted from domain knowledge, we propose a structure-aware relation network (SAR-Net) extending Mask R-CNN.

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

1 code implementation CVPR 2021 Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu

Pseudo labeling expands the number of ``labeled" samples in each class in the target domain, and thus produces a more robust and powerful cluster core for each class to facilitate adversarial learning.

Domain Adaptation

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

no code implementations30 Mar 2021 Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng

In this paper, we show that such process can be integrated into the one-shot segmentation task which is a very challenging but meaningful topic.

One-Shot Segmentation

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

1 code implementation CVPR 2021 Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

Motivated by this, we propose an Implicit Instance-Invariant Network (I3Net), which is tailored for adapting one-stage detectors and implicitly learns instance-invariant features via exploiting the natural characteristics of deep features in different layers.

Region Proposal

Scene-Intuitive Agent for Remote Embodied Visual Grounding

no code implementations CVPR 2021 Xiangru Lin, Guanbin Li, Yizhou Yu

Intuitively, we comprehend the semantics of the instruction to form an overview of where a bathroom is and what a blue towel is in mind; then, we navigate to the target location by consistently matching the bathroom appearance in mind with the current scene.

Visual Grounding

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

no code implementations16 Dec 2020 Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu

We demonstrate that with the novel pre-training method, the proposed MP3D FPN achieves state-of-the-art detection performance on the DeepLesion dataset (3. 48% absolute improvement in the sensitivity of FPs@0. 5), significantly surpassing the baseline method by up to 6. 06% (in MAP@0. 5) which adopts 2D convolution for 3D context modeling.

2D Object Detection Computed Tomography (CT)

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

no code implementations14 Dec 2020 Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu

The main idea is to use CNNs to learn local appearances of vessels in image crops while using another point-cloud network to learn the global geometry of vessels in the entire image.

Representation Learning

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

no code implementations10 Dec 2020 Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

Motivated by the spatial consistency and regularity in medical images, we developed an efficient global correlation module to capture the correlation between a support and query image and incorporate it into the deep network called global correlation network.

Medical Image Segmentation

Adaptive noise imitation for image denoising

no code implementations30 Nov 2020 Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John Paisley

Coupling the noisy data output from ADANI with the corresponding ground-truth, a denoising CNN is then trained in a fully-supervised manner.

Image Denoising

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

no code implementations23 Oct 2020 Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

We further proposed a localization branch realized via an aggregation of high-level features in a deep decoder to predict locations of organ and lesion, which enriches student segmentor with precise localization information.

Lesion Segmentation

Contralaterally Enhanced Networks for Thoracic Disease Detection

no code implementations9 Oct 2020 Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu

Aimed at improving the performance of existing detection methods, we propose a deep end-to-end module to exploit the contralateral context information for enhancing feature representations of disease proposals.

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

no code implementations9 Oct 2020 Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu

Analyzing the morphological attributes of blood vessels plays a critical role in the computer-aided diagnosis of many cardiovascular and ophthalmologic diseases.

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

no code implementations30 Sep 2020 Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

Mammogram benign or malignant classification with only image-level labels is challenging due to the absence of lesion annotations.

Classification General Classification

Online Alternate Generator against Adversarial Attacks

no code implementations17 Sep 2020 Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu

The field of computer vision has witnessed phenomenal progress in recent years partially due to the development of deep convolutional neural networks.

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

1 code implementation10 Jul 2020 Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang

Nevertheless, there are still great challenges with brain midline delineation, such as the largely deformed midline caused by the mass effect and the possible morphological failure that the predicted midline is not a connected curve.


ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

1 code implementation17 Jun 2020 Jingyu Liu, Jie Lian, Yizhou Yu

Instance level detection of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images.

Classification General Classification

Graph-Structured Referring Expression Reasoning in The Wild

1 code implementation CVPR 2020 Sibei Yang, Guanbin Li, Yizhou Yu

The linguistic structure of a referring expression provides a layout of reasoning over the visual contents, and it is often crucial to align and jointly understand the image and the referring expression.

Kernel Quantization for Efficient Network Compression

no code implementations11 Mar 2020 Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu

Thus, KQ can represent the weight tensor in the convolution layer with low-bit indexes and a kernel codebook with limited size, which enables KQ to achieve significant compression ratio.


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

no code implementations27 Feb 2020 Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang

The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI).

Decision Making

When Relation Networks meet GANs: Relation GANs with Triplet Loss

1 code implementation24 Feb 2020 Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Pingping Zhang, Huchuan Lu, Yizhou Yu

Though recent research has achieved remarkable progress in generating realistic images with generative adversarial networks (GANs), the lack of training stability is still a lingering concern of most GANs, especially on high-resolution inputs and complex datasets.

Conditional Image Generation

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

no code implementations22 Jan 2020 Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu

The proposed algorithm for the first time achieves competitive accuracy and high inference efficiency simultaneously with a single CPU thread.

Image Classification RGB Salient Object Detection +2

Self-Enhanced Convolutional Network for Facial Video Hallucination

no code implementations23 Nov 2019 Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu

It further recurrently exploits the reconstructed results and intermediate features of a sequence of preceding frames to improve the initial super-resolution of the current frame by modelling the coherence of structural facial features across frames.

Video Super-Resolution

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

no code implementations23 Nov 2019 Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu

Recently 3D volumetric organ segmentation attracts much research interest in medical image analysis due to its significance in computer aided diagnosis.

Pancreas Segmentation

Dynamic Graph Attention for Referring Expression Comprehension

no code implementations ICCV 2019 Sibei Yang, Guanbin Li, Yizhou Yu

In this paper, we explore the problem of referring expression comprehension from the perspective of language-driven visual reasoning, and propose a dynamic graph attention network to perform multi-step reasoning by modeling both the relationships among the objects in the image and the linguistic structure of the expression.

Graph Attention Referring Expression Comprehension +1

Motion Guided Attention for Video Salient Object Detection

2 code implementations ICCV 2019 Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu

In this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection in still images and the other for motion saliency detection in optical flow images.

Optical Flow Estimation Saliency Detection +2

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

1 code implementation10 Sep 2019 Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu

In this paper, we propose to incorporate domain knowledge in clinical practice into the model design of universal lesion detectors.

Computed Tomography (CT)

Relationship-Embedded Representation Learning for Grounding Referring Expressions

1 code implementation CVPR 2019 Sibei Yang, Guanbin Li, Yizhou Yu

Unfortunately, existing work on grounding referring expressions fails to accurately extract multi-order relationships from the referring expression and associate them with the objects and their related contexts in the image.

Representation Learning

ROSA: Robust Salient Object Detection against Adversarial Attacks

no code implementations9 May 2019 Haofeng Li, Guanbin Li, Yizhou Yu

To our knowledge, this paper is the first one that mounts successful adversarial attacks on salient object detection models and verifies that adversarial samples are effective on a wide range of existing methods.

RGB Salient Object Detection Salient Object Detection

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

no code implementations27 Apr 2019 Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu

In this paper, we discover that global spatial dependencies and global contextual information in a biomedical image can be exploited to defend against adversarial attacks.

Lesion Segmentation Semantic Segmentation

A Benchmark for Edge-Preserving Image Smoothing

1 code implementation2 Apr 2019 Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu

This benchmark includes an image dataset with groundtruth image smoothing results as well as baseline algorithms that can generate competitive edge-preserving smoothing results for a wide range of image contents.

image smoothing

Multi-source weak supervision for saliency detection

1 code implementation CVPR 2019 Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu

To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.

Saliency Prediction

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

no code implementations1 Apr 2019 Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu

As a concrete example, a database of over 1. 2 million visual objects has been built using the proposed method, and has been successfully used in various data-driven image applications.

Image Generation Re-Ranking

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

10 code implementations28 Mar 2019 Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu

Modern approaches for semantic segmentation usually employ dilated convolutions in the backbone to extract high-resolution feature maps, which brings heavy computation complexity and memory footprint.

Semantic Segmentation

Transductive Zero-Shot Learning with Visual Structure Constraint

1 code implementation NeurIPS 2019 Zi-Yu Wan, Dong-Dong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao

Based on the observation that visual features of test instances can be separated into different clusters, we propose a new visual structure constraint on class centers for transductive ZSL, to improve the generality of the projection function (i. e. alleviate the above domain shift problem).

Zero-Shot Learning

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

no code implementations10 Dec 2018 Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin

In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network~(BB-FCN) for rapidly and accurately localizing facial landmarks in unconstrained and cluttered settings.

Face Alignment Face Detection +2

Automatic Image Stylization Using Deep Fully Convolutional Networks

no code implementations27 Nov 2018 Feida Zhu, Yizhou Yu

Such photo adjustment tools lack a semantic understanding of image contents and the resulting global color transform limits the range of artistic styles it can represent.

Image Stylization

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

no code implementations18 Sep 2018 Weifeng Ge, Bingchen Gong, Yizhou Yu

With respect to a downsampled low resolution image, we model a high resolution image as a combination of two components, a deterministic component and a stochastic component.

Image Super-Resolution Rectification

CaricatureShop: Personalized and Photorealistic Caricature Sketching

no code implementations24 Jul 2018 Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Yizhou Yu, Kun Zhou, Shuguang Cui

To construct the mapping between 2D sketches and a vertex-wise scaling field, a novel deep learning architecture is developed.

Caricature Face Model

ReCoNet: Real-time Coherent Video Style Transfer Network

5 code implementations3 Jul 2018 Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu

Image style transfer models based on convolutional neural networks usually suffer from high temporal inconsistency when applied to videos.

Style Transfer Video Style Transfer

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks

1 code implementation8 May 2018 Yujing Sun, Yizhou Yu, Wenping Wang

While digital image quality is constantly being improved, taking high-quality photos of digital screens still remains challenging because the photos are often contaminated with moir\'{e} patterns, a result of the interference between the pixel grids of the camera sensor and the device screen.

Denoising Image Enhancement +1

Contrast-Oriented Deep Neural Networks for Salient Object Detection

no code implementations30 Mar 2018 Guanbin Li, Yizhou Yu

In this paper, we develop hybrid contrast-oriented deep neural networks to overcome the aforementioned limitations.

RGB Salient Object Detection Salient Object Detection

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

1 code implementation ECCV 2018 Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, DaCheng Tao, Mingli Song

In this paper, we present a stroke controllable style transfer network that can achieve continuous and spatial stroke size control.

Style Transfer

Piecewise Flat Embedding for Image Segmentation

no code implementations ICCV 2015 Chaowei Fang, Zicheng Liao, Yizhou Yu

We introduce a new multi-dimensional nonlinear embedding -- Piecewise Flat Embedding (PFE) -- for image segmentation.

BSDS500 Contour Detection +1

Context-Aware Semantic Inpainting

no code implementations21 Dec 2017 Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu

Our proposed GAN-based framework consists of a fully convolutional design for the generator which helps to better preserve spatial structures and a joint loss function with a revised perceptual loss to capture high-level semantics in the context.

Image Inpainting

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

no code implementations ICCV 2017 Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu

Our method is based on a new deep learning architecture consisting of two sub-networks: a global structure inference network and a local geometry refinement network.

Folding membrane proteins by deep transfer learning

no code implementations28 Aug 2017 Sheng Wang, Zhen Li, Yizhou Yu, Jinbo Xu

Computational elucidation of membrane protein (MP) structures is challenging partially due to lack of sufficient solved structures for homology modeling.

Transfer Learning

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

no code implementations7 Jun 2017 Xiaoguang Han, Chang Gao, Yizhou Yu

This system has a labor-efficient sketching interface, that allows the user to draw freehand imprecise yet expressive 2D lines representing the contours of facial features.


Neural Style Transfer: A Review

6 code implementations11 May 2017 Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song

We first propose a taxonomy of current algorithms in the field of NST.

Style Transfer

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

no code implementations24 Apr 2017 Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu

Tested on 510 non-redundant MPs, our deep model (learned from only non-MPs) has top L/10 long-range contact prediction accuracy 0. 69, better than our deep model trained by only MPs (0. 63) and much better than a representative DCA method CCMpred (0. 47) and the CASP11 winner MetaPSICOV (0. 55).

Transfer Learning

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

1 code implementation CVPR 2017 Weifeng Ge, Yizhou Yu

In this paper, we introduce a source-target selective joint fine-tuning scheme for improving the performance of deep learning tasks with insufficient training data.

General Classification Transfer Learning

Visual Saliency Detection Based on Multiscale Deep CNN Features

2 code implementations7 Sep 2016 Guanbin Li, Yizhou Yu

The penultimate layer of our neural network has been confirmed to be a discriminative high-level feature vector for saliency detection, which we call deep contrast feature.

Saliency Detection

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

1 code implementation25 Apr 2016 Zhen Li, Yizhou Yu

Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated local and global contextual features.

Multi-Task Learning Protein Secondary Structure Prediction

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

1 code implementation18 Apr 2016 Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

Another long short-term memorized fusion layer is set up to integrate the contexts along the vertical direction from different channels, and perform bi-directional propagation of the fused vertical contexts along the horizontal direction to obtain true 2D global contexts.

Scene Labeling

Deep Contrast Learning for Salient Object Detection

no code implementations CVPR 2016 Guanbin Li, Yizhou Yu

Our deep network consists of two complementary components, a pixel-level fully convolutional stream and a segment-wise spatial pooling stream.

RGB Salient Object Detection Salient Object Detection

Visual Saliency Based on Multiscale Deep Features

no code implementations CVPR 2015 Guanbin Li, Yizhou Yu

Visual saliency is a fundamental problem in both cognitive and computational sciences, including computer vision.

Semantic Segmentation

Automatic Photo Adjustment Using Deep Neural Networks

1 code implementation24 Dec 2014 Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu

Many photographic styles rely on subtle adjustments that depend on the image content and even its semantics.

Photo Retouching

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