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CPT: Efficient Deep Neural Network Training via Cyclic Precision
Low-precision deep neural network (DNN) training has gained tremendous a...
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Generalize Ultrasound Image Segmentation via Instant and Plug Play Style Transfer
Deep segmentation models that generalize to images with unknown appearan...
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Multi-scale Information Assembly for Image Matting
Image matting is a long-standing problem in computer graphics and vision...
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DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Deep convolutional neural networks have significantly boosted the perfor...
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Contrastive Rendering for Ultrasound Image Segmentation
Ultrasound (US) image segmentation embraced its significant improvement ...
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Weakly-supervised Salient Instance Detection
Existing salient instance detection (SID) methods typically learn from p...
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Style-invariant Cardiac Image Segmentation with Test-time Augmentation
Deep models often suffer from severe performance drop due to the appeara...
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Designing Neural Networks for Real-Time Systems
Artificial Neural Networks (ANNs) are increasingly being used within saf...
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Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
Automated breast ultrasound (ABUS) is a new and promising imaging modali...
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Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
3D ultrasound (US) is widely used due to its rich diagnostic information...
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TENet: Triple Excitation Network for Video Salient Object Detection
In this paper, we propose a simple yet effective approach, named Triple ...
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The Numerical Unified Transform Method for Initial-boundary Value Problems on the Half-line
We implement the Unified Transform Method of Fokas as a numerical method...
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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Background and Objective: Biometric measurements of fetal head are impor...
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A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
Fetal cortical plate segmentation is essential in quantitative analysis ...
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Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs
Ultrasound (US) is widely accepted in clinic for anatomical structure in...
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Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
3D ultrasound (US) can facilitate detailed prenatal examinations for fet...
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Sketching Transformed Matrices with Applications to Natural Language Processing
Suppose we are given a large matrix A=(a_i,j) that cannot be stored in m...
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Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer
Deep Neural Networks (DNNs) suffer from the performance degradation when...
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One-Shot Imitation Filming of Human Motion Videos
Imitation learning has been applied to mimic the operation of a human ca...
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Adaptive Densely Connected Super-Resolution Reconstruction
For a better performance in single image super-resolution(SISR), we pres...
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FetusMap: Fetal Pose Estimation in 3D Ultrasound
The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Standard plane localization is crucial for ultrasound (US) diagnosis. In...
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Celeb-DF: A New Dataset for DeepFake Forensics
AI-synthesized face swapping videos, commonly known as the DeepFakes, ha...
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Total Least Squares Regression in Input Sparsity Time
In the total least squares problem, one is given an m × n matrix A, and ...
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Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes
Volumetric ultrasound has great potentials in promoting prenatal examina...
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Urban flows prediction from spatial-temporal data using machine learning: A survey
Urban spatial-temporal flows prediction is of great importance to traffi...
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Where Is My Mirror?
Mirrors are everywhere in our daily lives. Existing computer vision syst...
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DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Recently, single-image super-resolution has made great progress owing to...
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Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images
Automatic and accurate segmentation for retinal and choroidal layers of ...
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MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network
IP protocol is the core of TCP/IP network layer. However, since IP addre...
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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
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Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Recent years have seen fast development in synthesizing realistic human ...
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The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks
The Internet has become the most important infrastructure of modern soci...
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Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
We improve the over-parametrization size over two beautiful results [Li ...
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A near-optimal algorithm for approximating the John Ellipsoid
We develop a simple and efficient algorithm for approximating the John E...
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DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering
In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...
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Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Removing rain streaks from a single image has been drawing considerable ...
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Exposing GAN-synthesized Faces Using Landmark Locations
Generative adversary networks (GANs) have recently led to highly realist...
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MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
In this paper, we propose a novel meta learning approach for automatic c...
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Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image
We present a deep reinforcement learning method of progressive view inpa...
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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
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Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
In this paper, we address the problem of synthesizing multi-parameter ma...
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Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation
Segmenting left atrium in MR volume holds great potentials in promoting ...
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Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation
Accurately segmenting left atrium in MR volume can benefit the ablation ...
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Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture
We propose Deep Hierarchical Machine (DHM), a model inspired from the di...
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Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
In this paper, we study 1-bit convolutional neural networks (CNNs), of w...
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Exposing Deep Fakes Using Inconsistent Head Poses
In this paper, we propose a new method to expose AI-generated fake face ...
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Tool Breakage Detection using Deep Learning
In manufacture, steel and other metals are mainly cut and shaped during ...
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