b'Wentao Zhu'

research

∙ 09/19/2023

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

Domain Adaptation (DA) is important for deep learning-based medical imag...

0 Jianghao Wu, et al. ∙

research

∙ 09/15/2023

BROW: Better featuRes fOr Whole slide image based on self-distillation

Whole slide image (WSI) processing is becoming part of the key component...

0 Yuanfeng Wu, et al. ∙

research

∙ 08/09/2023

Classification of lung cancer subtypes on CT images with synthetic pathological priors

The accurate diagnosis on pathological subtypes for lung cancer is of si...

0 Wentao Zhu, et al. ∙

research

∙ 07/20/2023

Human Motion Generation: A Survey

Human motion generation aims to generate natural human pose sequences an...

0 Wentao Zhu, et al. ∙

research

∙ 04/12/2023

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection

The short-form videos have explosive popularity and have dominated the n...

1 Wentao Zhu, et al. ∙

research

∙ 03/25/2023

Selective Structured State-Spaces for Long-Form Video Understanding

Effective modeling of complex spatiotemporal dependencies in long-form v...

9 Jue Wang, et al. ∙

research

∙ 03/21/2023

3D Human Mesh Estimation from Virtual Markers

Inspired by the success of volumetric 3D pose estimation, some recent hu...

4 Xiaoxuan Ma, et al. ∙

research

∙ 03/19/2023

Multiscale Audio Spectrogram Transformer for Efficient Audio Classification

Audio event has a hierarchical architecture in both time and frequency a...

0 Wentao Zhu, et al. ∙

research

∙ 12/16/2022

GFPose: Learning 3D Human Pose Prior with Gradient Fields

Learning 3D human pose prior is essential to human-centered AI. Here, we...

5 Hai Ci, et al. ∙

research

∙ 11/21/2022

Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civili...

16 Shiqiang Zhu, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 10/12/2022

MotionBERT: Unified Pretraining for Human Motion Analysis

We present MotionBERT, a unified pretraining framework, to tackle differ...

12 Wentao Zhu, et al. ∙

research

∙ 08/27/2022

Anti-Retroactive Interference for Lifelong Learning

Humans can continuously learn new knowledge. However, machine learning m...

1 Runqi Wang, et al. ∙

research

∙ 07/22/2022

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

While the voxel-based methods have achieved promising results for multi-...

16 Hang Ye, et al. ∙

research

∙ 03/17/2022

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation

Research on the generalization ability of deep neural networks (DNNs) ha...

10 Runqi Wang, et al. ∙

research

∙ 12/28/2021

Associative Adversarial Learning Based on Selective Attack

A human's attention can intuitively adapt to corrupted areas of an image...

10 Runqi Wang, et al. ∙

research

∙ 12/19/2021

MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks

We present a novel framework that brings the 3D motion retargeting task ...

11 Wentao Zhu, et al. ∙

research

∙ 12/15/2021

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

Recently, self-supervised learning technology has been applied to calcul...

2 Shuwei Shao, et al. ∙

research

∙ 11/16/2021

NENet: Monocular Depth Estimation via Neural Ensembles

Depth estimation is getting a widespread popularity in the computer visi...

15 Shuwei Shao, et al. ∙

research

∙ 10/15/2021

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

For practical deep neural network design on mobile devices, it is essent...

14 Tianli Zhao, et al. ∙

research

∙ 07/16/2021

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Building robust deep learning-based models requires diverse training dat...

21 Holger R. Roth, et al. ∙

research

∙ 03/25/2021

Test-Time Training for Deformable Multi-Scale Image Registration

Registration is a fundamental task in medical robotics and is often a cr...

1 Wentao Zhu, et al. ∙

research

∙ 12/07/2020

Deformable Gabor Feature Networks for Biomedical Image Classification

In recent years, deep learning has dominated progress in the field of me...

33 Xuan Gong, et al. ∙

research

∙ 11/23/2020

Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan

The recent outbreak of COVID-19 has led to urgent needs for reliable dia...

5 Dong Yang, et al. ∙

research

∙ 10/02/2020

Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer

Unsupervised text style transfer is full of challenges due to the lack o...

0 Yufang Huang, et al. ∙

research

∙ 07/10/2020

Multi-Domain Image Completion for Random Missing Input Data

Multi-domain data are widely leveraged in vision applications taking adv...

0 Liyue Shen, et al. ∙

research

∙ 06/22/2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation

Deep Learning (DL) models are becoming larger, because the increase in m...

0 Wentao Zhu, et al. ∙

research

∙ 03/31/2020

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...

19 Zhuoqian Yang, et al. ∙

research

∙ 10/04/2019

NeurReg: Neural Registration and Its Application to Image Segmentation

Registration is a fundamental task in medical image analysis which can b...

20 Wentao Zhu, et al. ∙

research

∙ 10/02/2019

Cardiac Segmentation of LGE MRI with Noisy Labels

In this work, we attempt the segmentation of cardiac structures in late ...

0 Holger Roth, et al. ∙

research

∙ 10/02/2019

Privacy-preserving Federated Brain Tumour Segmentation

Due to medical data privacy regulations, it is often infeasible to colle...

18 Wenqi Li, et al. ∙

research

∙ 06/18/2019

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking

Echocardiography has become routinely used in the diagnosis of cardiomyo...

2 Wentao Zhu, et al. ∙

research

∙ 03/12/2019

Deep Learning for Automated Medical Image Analysis

Medical imaging is an essential tool in many areas of medical applicatio...

0 Wentao Zhu, et al. ∙

research

∙ 08/15/2018

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

Radiation therapy (RT) is a common treatment for head and neck (HaN) can...

10 Wentao Zhu, et al. ∙

research

∙ 08/15/2018

AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy

Methods: Our deep learning model, called AnatomyNet, segments OARs from ...

0 Wentao Zhu, et al. ∙

research

∙ 05/14/2018

DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection

Recently deep learning has been witnessing widespread adoption in variou...

0 Wentao Zhu, et al. ∙

research

∙ 01/25/2018

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

In this work, we present a fully automated lung computed tomography (CT)...

0 Wentao Zhu, et al. ∙

research

∙ 10/24/2017

Adversarial Deep Structured Nets for Mass Segmentation from Mammograms

Mass segmentation provides effective morphological features which are im...

0 Wentao Zhu, et al. ∙

research

∙ 09/16/2017

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

In this work, we present a fully automated lung CT cancer diagnosis syst...

0 Wentao Zhu, et al. ∙

research

∙ 05/23/2017

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

Mammogram classification is directly related to computer-aided diagnosis...

0 Wentao Zhu, et al. ∙

research

∙ 12/18/2016

Adversarial Deep Structural Networks for Mammographic Mass Segmentation

Mass segmentation is an important task in mammogram analysis, providing ...

0 Wentao Zhu, et al. ∙

research

∙ 03/24/2016

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

Skeleton based action recognition distinguishes human actions using the ...

0 Wentao Zhu, et al. ∙

research

∙ 09/27/2015

Deep Trans-layer Unsupervised Networks for Representation Learning

Learning features from massive unlabelled data is a vast prevalent topic...

0 Wentao Zhu, et al. ∙

research

∙ 01/25/2015

Constrained Extreme Learning Machines: A Study on Classification Cases

Extreme learning machine (ELM) is an extremely fast learning method and ...

0 Wentao Zhu, et al. ∙

Wentao Zhu

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