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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...
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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Automatic blood vessel extraction from 3D medical images is crucial for ...
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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 ...
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Adaptive noise imitation for image denoising
The effectiveness of existing denoising algorithms typically relies on a...
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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...
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The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
The detection of thoracic abnormalities challenge is organized by the De...
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Contralaterally Enhanced Networks for Thoracic Disease Detection
Identifying and locating diseases in chest X-rays are very challenging, ...
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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...
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Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Mammogram benign or malignant classification with only image-level label...
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Online Alternate Generator against Adversarial Attacks
The field of computer vision has witnessed phenomenal progress in recent...
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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...
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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...
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Kernel Quantization for Efficient Network Compression
This paper presents a novel network compression framework Kernel Quantiz...
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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...
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When Relation Networks meet GANs: Relation GANs with Triplet Loss
Though recent research has achieved remarkable progress in generating re...
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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...
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Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
Recently 3D volumetric organ segmentation attracts much research interes...
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Self-Enhanced Convolutional Network for Facial Video Hallucination
As a domain-specific super-resolution problem, facial image hallucinatio...
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Dynamic Graph Attention for Referring Expression Comprehension
Referring expression comprehension aims to locate the object instance de...
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Motion Guided Attention for Video Salient Object Detection
Video salient object detection aims at discovering the most visually dis...
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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...
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Cross-Modal Relationship Inference for Grounding Referring Expressions
Grounding referring expressions is a fundamental yet challenging task fa...
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ROSA: Robust Salient Object Detection against Adversarial Attacks
Recently salient object detection has witnessed remarkable improvement o...
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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...
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A Benchmark for Edge-Preserving Image Smoothing
Edge-preserving image smoothing is an important step for many low-level ...
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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...
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Multi-source weak supervision for saliency detection
The high cost of pixel-level annotations makes it appealing to train sal...
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FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Modern approaches for semantic segmentation usually employ dilated convo...
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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...
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Transductive Zero-Shot Learning with Visual Structure Constraint
Zero-shot Learning (ZSL) aims to recognize objects of the unseen classes...
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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...
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Automatic Image Stylization Using Deep Fully Convolutional Networks
Color and tone stylization strives to enhance unique themes with artisti...
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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...
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CaricatureShop: Personalized and Photorealistic Caricature Sketching
In this paper, we propose the first sketching system for interactively p...
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ReCoNet: Real-time Coherent Video Style Transfer Network
Image style transfer models based on convolutional neural networks usual...
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Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
Digital cameras and mobile phones enable us to conveniently record preci...
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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...
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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 ...
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Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Recently, in the community of Neural Style Transfer, several algorithms ...
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Piecewise Flat Embedding for Image Segmentation
We propose a new nonlinear embedding -- Piecewise Flat Embedding (PFE) -...
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Context-Aware Semantic Inpainting
Recently image inpainting has witnessed rapid progress due to generative...
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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...
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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...
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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...
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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...
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Visual Saliency Detection Based on Multiscale Deep CNN Features
Visual saliency is a fundamental problem in both cognitive and computati...
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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...
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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...
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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...
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Deep Contrast Learning for Salient Object Detection
Salient object detection has recently witnessed substantial progress due...
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