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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...
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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...
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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...
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07/20/2023
Human Motion Generation: A Survey
Human motion generation aims to generate natural human pose sequences an...
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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...
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03/25/2023
Selective Structured State-Spaces for Long-Form Video Understanding
Effective modeling of complex spatiotemporal dependencies in long-form v...
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03/21/2023
3D Human Mesh Estimation from Virtual Markers
Inspired by the success of volumetric 3D pose estimation, some recent hu...
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03/19/2023
Multiscale Audio Spectrogram Transformer for Efficient Audio Classification
Audio event has a hierarchical architecture in both time and frequency a...
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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...
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11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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10/12/2022
MotionBERT: Unified Pretraining for Human Motion Analysis
We present MotionBERT, a unified pretraining framework, to tackle differ...
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08/27/2022
Anti-Retroactive Interference for Lifelong Learning
Humans can continuously learn new knowledge. However, machine learning m...
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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-...
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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...
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12/28/2021
Associative Adversarial Learning Based on Selective Attack
A human's attention can intuitively adapt to corrupted areas of an image...
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12/19/2021
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
We present a novel framework that brings the 3D motion retargeting task ...
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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...
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11/16/2021
NENet: Monocular Depth Estimation via Neural Ensembles
Depth estimation is getting a widespread popularity in the computer visi...
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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...
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07/16/2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
Building robust deep learning-based models requires diverse training dat...
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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...
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12/07/2020
Deformable Gabor Feature Networks for Biomedical Image Classification
In recent years, deep learning has dominated progress in the field of me...
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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...
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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...
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07/10/2020
Multi-Domain Image Completion for Random Missing Input Data
Multi-domain data are widely leveraged in vision applications taking adv...
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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...
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03/31/2020
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
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10/04/2019
NeurReg: Neural Registration and Its Application to Image Segmentation
Registration is a fundamental task in medical image analysis which can b...
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10/02/2019
Cardiac Segmentation of LGE MRI with Noisy Labels
In this work, we attempt the segmentation of cardiac structures in late ...
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10/02/2019
Privacy-preserving Federated Brain Tumour Segmentation
Due to medical data privacy regulations, it is often infeasible to colle...
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06/18/2019
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking
Echocardiography has become routinely used in the diagnosis of cardiomyo...
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03/12/2019
Deep Learning for Automated Medical Image Analysis
Medical imaging is an essential tool in many areas of medical applicatio...
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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...
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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 ...
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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...
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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)...
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10/24/2017
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Mass segmentation provides effective morphological features which are im...
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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...
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05/23/2017
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Mammogram classification is directly related to computer-aided diagnosis...
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12/18/2016
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Mass segmentation is an important task in mammogram analysis, providing ...
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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 ...
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09/27/2015
Deep Trans-layer Unsupervised Networks for Representation Learning
Learning features from massive unlabelled data is a vast prevalent topic...
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01/25/2015