b'Xin Yang'

research

∙ 07/01/2022

Online Reflective Learning for Robust Medical Image Segmentation

Deep segmentation models often face the failure risks when the testing i...

Yuhao Huang, et al. ∙

research

∙ 07/01/2022

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Standard plane (SP) localization is essential in routine clinical ultras...

Yuxin Zou, et al. ∙

research

∙ 07/01/2022

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Ultrasound (US) is widely used for its advantages of real-time imaging, ...

Jiamin Liang, et al. ∙

research

∙ 07/01/2022

Fine-grained Correlation Loss for Regression

Regression learning is classic and fundamental for medical image analysi...

Chaoyu Chen, et al. ∙

research

∙ 07/01/2022

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Freehand 3D ultrasound (US) has important clinical value due to its low ...

Mingyuan Luo, et al. ∙

research

∙ 06/28/2022

FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification

Federated learning (FL), enabling different medical institutions or clie...

Nannan Wu, et al. ∙

research

∙ 06/16/2022

Differentially Private Multi-Party Data Release for Linear Regression

Differentially Private (DP) data release is a promising technique to dis...

Ruihan Wu, et al. ∙

research

∙ 06/09/2022

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks

The dynamic membrane potential threshold, as one of the essential proper...

Jianchuan Ding, et al. ∙

research

∙ 06/08/2022

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...

Yu Cai, et al. ∙

research

∙ 06/05/2022

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs

Vertebral landmark localization is a crucial step for variant spine-rela...

Zhiwei Wang, et al. ∙

research

∙ 05/24/2022

Differentially Private AUC Computation in Vertical Federated Learning

Federated learning has gained great attention recently as a privacy-enha...

Jiankai Sun, et al. ∙

research

∙ 05/04/2022

FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation

The purpose of federated learning is to enable multiple clients to joint...

Jeffry Wicaksana, et al. ∙

research

∙ 04/14/2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Ultrasound (US) imaging is widely used for anatomical structure inspecti...

Jiamin Liang, et al. ∙

research

∙ 04/14/2022

HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

Different from handcrafted features, deep neural networks can automatica...

Jikuan Qian, et al. ∙

research

∙ 04/12/2022

FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive Sensing

In recent years, deep learning-based image compressive sensing (ICS) met...

Wenjun Chen, et al. ∙

research

∙ 03/17/2022

Bi-directional Object-context Prioritization Learning for Saliency Ranking

The saliency ranking task is recently proposed to study the visual behav...

Xin Tian, et al. ∙

research

∙ 03/04/2022

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

Stereo matching is a fundamental building block for many vision and robo...

Gangwei Xu, et al. ∙

research

∙ 03/04/2022

Differentially Private Label Protection in Split Learning

Split learning is a distributed training framework that allows multiple ...

Xin Yang, et al. ∙

research

∙ 03/02/2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

Vertical federated learning (vFL) has gained much attention and been dep...

Jiankai Sun, et al. ∙

research

∙ 02/14/2022

A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition

In this paper, we propose a novel transfer learning framework with Proto...

Rushuang Zhou, et al. ∙

research

∙ 01/14/2022

AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images

Multi-sequence cardiac magnetic resonance (CMR) provides essential patho...

Kai-Ni Wang, et al. ∙

research

∙ 12/28/2021

SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) is a kind of malignant tumor. Accurate an...

Zexi Huang, et al. ∙

research

∙ 12/21/2021

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization

For medical image segmentation, imagine if a model was only trained usin...

Ziqi Zhou, et al. ∙

research

∙ 12/11/2021

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation

Acquiring the most representative examples via active learning (AL) can ...

Yu Qiao, et al. ∙

research

∙ 11/19/2021

Learning to Detect Instance-level Salient Objects Using Complementary Image Labels

Existing salient instance detection (SID) methods typically learn from p...

Xin Tian, et al. ∙

research

∙ 11/03/2021

Origami-inspired soft twisting actuator

Soft actuators have shown great advantages in compliance and morphology ...

Diancheng Li, et al. ∙

research

∙ 10/12/2021

Monocular Depth Estimation with Sharp Boundary

Monocular depth estimation is the base task in computer vision. It has a...

Xin Yang, et al. ∙

research

∙ 09/24/2021

Runtime Interchange for Adaptive Re-use of Intelligent Cyber-Physical System Controllers

Cyber-Physical Systems (CPSs) such as those found within autonomous vehi...

Hammond Pearce, et al. ∙

research

∙ 09/19/2021

Object Tracking by Jointly Exploiting Frame and Event Domain

Inspired by the complementarity between conventional frame-based and bio...

Jiqing Zhang, et al. ∙

research

∙ 09/02/2021

Self-supervised Representation Learning for Trip Recommendation

Trip recommendation is a significant and engaging location-based service...

Qiang Gao, et al. ∙

research

∙ 08/18/2021

WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection

Majority models of remote sensing image changing detection can only get ...

Yu Jiang, et al. ∙

research

∙ 08/16/2021

A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning

Deep reinforcement learning has achieved great success in laser-based co...

Lingping Gao, et al. ∙

research

∙ 08/11/2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Standard plane recognition plays an important role in prenatal ultrasoun...

Shuangchi He, et al. ∙

research

∙ 08/10/2021

Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking

Jointly exploiting multiple different yet complementary domain informati...

Jiqing Zhang, et al. ∙

research

∙ 08/02/2021

Flip Learning: Erase to Segment

Nodule segmentation from breast ultrasound images is challenging yet ess...

Yuhao Huang, et al. ∙

research

∙ 08/01/2021

Style Curriculum Learning for Robust Medical Image Segmentation

The performance of deep segmentation models often degrades due to distri...

Zhendong Liu, et al. ∙

research

∙ 08/01/2021

Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?

Graph matching is an important problem that has received widespread atte...

Zhoubo Xu, et al. ∙

research

∙ 07/31/2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

3D ultrasound (US) is widely used for its rich diagnostic information. H...

Mingyuan Luo, et al. ∙

research

∙ 06/28/2021

Prior-Induced Information Alignment for Image Matting

Image matting is an ill-posed problem that aims to estimate the opacity ...

Yuhao Liu, et al. ∙

research

∙ 06/11/2021

The Numerical Unified Transform Method for the Nonlinear Schrödinger equation on the half-line

We implement the Numerical Unified Transform Method to solve the Nonline...

Xin Yang, et al. ∙

research

∙ 06/10/2021

Vertical Federated Learning without Revealing Intersection Membership

Vertical Federated Learning (vFL) allows multiple parties that own diffe...

Jiankai Sun, et al. ∙

research

∙ 06/10/2021

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

The ultrasound (US) screening of the infant hip is vital for the early d...

Xindi Hu, et al. ∙

research

∙ 05/19/2021

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

Automatic and accurate detection of anatomical landmarks is an essential...

Guang-Quan Zhou, et al. ∙

research

∙ 05/11/2021

FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis

Federated Learning (FL) is an emerging learning scheme that allows diffe...

Baihe Huang, et al. ∙

research

∙ 04/21/2021

A Two-Stage Attentive Network for Single Image Super-Resolution

Recently, deep convolutional neural networks (CNNs) have been widely exp...

Jiqing Zhang, et al. ∙

research

∙ 04/21/2021

Camouflaged Object Segmentation with Distraction Mining

Camouflaged object segmentation (COS) aims to identify objects that are ...

Haiyang Mei, et al. ∙

research

∙ 03/31/2021

Smart Scribbles for Image Mating

Image matting is an ill-posed problem that usually requires additional u...

Xin Yang, et al. ∙

research

∙ 03/26/2021

Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

Accurate standard plane (SP) localization is the fundamental step for pr...

Xin Yang, et al. ∙

research

∙ 02/17/2021

Label Leakage and Protection in Two-party Split Learning

In vertical federated learning, two-party split learning has become an i...

Oscar Li, et al. ∙

research

∙ 01/26/2021

Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation

In this paper, we propose a fully automatic system for generating comic ...

Xin Yang, et al. ∙

Xin Yang

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