Dimitris Metaxas

research

∙ 03/24/2022

A Manifold View of Adversarial Risk

The adversarial risk of a machine learning model has been widely studied...

Wenjia Zhang, et al. ∙

research

∙ 03/21/2022

Global Matching with Overlapping Attention for Optical Flow Estimation

Optical flow estimation is a fundamental task in computer vision. Recent...

Shiyu Zhao, et al. ∙

research

∙ 03/21/2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Combining information from multi-view images is crucial to improve the p...

Di Liu, et al. ∙

research

∙ 03/04/2022

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

Most methods for conditional video synthesis use a single modality as th...

Ligong Han, et al. ∙

research

∙ 02/28/2022

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks

Transformers have emerged to be successful in a number of natural langua...

Yunhe Gao, et al. ∙

research

∙ 01/22/2022

Modality Bank: Learn multi-modality images across data centers without sharing medical data

Multi-modality images have been widely used and provide comprehensive in...

Qi Chang, et al. ∙

research

∙ 01/21/2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

Medical image segmentation has been widely recognized as a pivot procedu...

Zhuowei Li, et al. ∙

research

∙ 01/19/2022

ASL Video Corpora Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

The American Sign Language Linguistic Research Project (ASLLRP) provides...

Carol Neidle, et al. ∙

research

∙ 10/17/2021

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

StyleGANs have shown impressive results on data generation and manipulat...

Ligong Han, et al. ∙

research

∙ 09/29/2021

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention

Computed Tomography (CT) plays an important role in monitoring radiation...

Guotai Wang, et al. ∙

research

∙ 09/10/2021

Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data

The COVID-19 corona virus has claimed 4.1 million lives, as of July 24, ...

Ananya Jana, et al. ∙

research

∙ 08/20/2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation

Conditional Generative Adversarial Networks (cGANs) extend the standard ...

Ligong Han, et al. ∙

research

∙ 07/02/2021

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Transformer architecture has emerged to be successful in a number of nat...

Yunhe Gao, et al. ∙

research

∙ 03/30/2021

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training

Data augmentation has proved extremely useful by increasing training dat...

Yunhe Gao, et al. ∙

research

∙ 03/05/2021

Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding

Non-alcoholic fatty liver disease (NAFLD) is one of the most common caus...

Ananya Jana, et al. ∙

research

∙ 03/04/2021

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard ...

Meng Ye, et al. ∙

research

∙ 02/09/2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

Recently, Generative Adversarial Networks (GANs) have demonstrated their...

Yikai Zhang, et al. ∙

research

∙ 02/04/2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness

Normalization techniques are crucial in stabilizing and accelerating the...

Zhiqiang Tang, et al. ∙

research

∙ 12/09/2020

A Topological Filter for Learning with Label Noise

Noisy labels can impair the performance of deep neural networks. To tack...

Pengxiang Wu, et al. ∙

research

∙ 12/02/2020

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

We introduce a novel representation learning method to disentangle pose-...

Long Zhao, et al. ∙

research

∙ 11/19/2020

Error-Bounded Correction of Noisy Labels

To collect large scale annotated data, it is inevitable to introduce lab...

Songzhu Zheng, et al. ∙

research

∙ 10/15/2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...

Long Zhao, et al. ∙

research

∙ 09/22/2020

Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data

Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly preva...

Ananya Jana, et al. ∙

research

∙ 08/25/2020

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Accurate estimation of shape thickness from medical images is crucial in...

Qiaoying Huang, et al. ∙

research

∙ 08/19/2020

Enhanced MRI Reconstruction Network using Neural Architecture Search

The accurate reconstruction of under-sampled magnetic resonance imaging ...

Qiaoying Huang, et al. ∙

research

∙ 08/18/2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data

The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...

Meng Ye, et al. ∙

research

∙ 08/17/2020

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

Oriented object detection in aerial images is a challenging task as the ...

Jingru Yi, et al. ∙

research

∙ 07/17/2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Data augmentation is one of the most important tools in training modern ...

Zhiqiang Tang, et al. ∙

research

∙ 07/17/2020

Learn distributed GAN with Temporary Discriminators

In this work, we propose a method for training distributed GAN with sequ...

Hui Qu, et al. ∙

research

∙ 06/13/2020

Unbiased Auxiliary Classifier GANs with MINE

Auxiliary Classifier GANs (AC-GANs) are widely used conditional generati...

Ligong Han, et al. ∙

research

∙ 03/15/2020

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

The ability to reliably perceive the environmental states, particularly ...

Pengxiang Wu, et al. ∙

research

∙ 11/25/2019

Point Cloud Processing via Recurrent Set Encoding

We present a new permutation-invariant network for 3D point cloud proces...

Pengxiang Wu, et al. ∙

research

∙ 11/21/2019

Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

Conditional generative adversarial networks have shown exceptional gener...

Ligong Han, et al. ∙

research

∙ 07/25/2019

Unsupervised Domain Adaptation via Calibrating Uncertainties

Unsupervised domain adaptation (UDA) aims at inferring class labels for ...

Ligong Han, et al. ∙

research

∙ 02/22/2019

Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

For the initial shoulder preoperative diagnosis, it is essential to obta...

Xiaoxiao He, et al. ∙

research

∙ 10/18/2018

MRI Reconstruction via Cascaded Channel-wise Attention Network

We consider an MRI reconstruction problem with input of k-space data at ...

Qiaoying Huang, et al. ∙

research

∙ 08/07/2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...

Zhiqiang Tang, et al. ∙

research

∙ 07/26/2018

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

We consider the problem of image-to-video translation, where an input im...

Long Zhao, et al. ∙

research

∙ 05/24/2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Random data augmentation is a critical technique to avoid overfitting in...

Xi Peng, et al. ∙

research

∙ 05/21/2018

Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Generative Adversarial Netw...

Han Zhang, et al. ∙

research

∙ 03/15/2018

Improving GANs Using Optimal Transport

We present Optimal Transport GAN (OT-GAN), a variant of generative adver...

Tim Salimans, et al. ∙

research

∙ 02/06/2018

Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution

Lifting is a common manual material handling task performed in the workp...

Rahil Mehrizi, et al. ∙

research

∙ 12/02/2017

Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...

Yan Zhu, et al. ∙

research

∙ 10/19/2017

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...

Han Zhang, et al. ∙

research

∙ 07/25/2017

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Automatic liver segmentation in 3D medical images is essential in many c...

Dong Yang, et al. ∙

research

∙ 05/17/2017

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Automatic localization and labeling of vertebra in 3D medical images pla...

Dong Yang, et al. ∙

research

∙ 03/25/2017

Sketch-based Face Editing in Video Using Identity Deformation Transfer

We address the problem of using hand-drawn sketch to edit facial identit...

Long Zhao, et al. ∙

research

∙ 02/10/2017

Reconstruction-Based Disentanglement for Pose-invariant Face Recognition

Deep neural networks (DNNs) trained on large-scale datasets have recentl...

Xi Peng, et al. ∙

research

∙ 12/10/2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...

Han Zhang, et al. ∙

Dimitris Metaxas

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