Dimitris Metaxas

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Rutgers University

Distinguished Professor of Computer Science and Biomedical Engineering at Rutgers University, Department of Computer Science at Rutgers University, Director NSF/UCR Center forAccelerated and Real time Analytics (CARTA) at Rutgers University, Director Center for Computational Biomedicine, Imaging and Modeling at Rutgers, Professor at University of Pennsylvania from 1992-2001

Featured Co-authors

Xiaogang Wang
144 publications
Ting Liu
124 publications
Hongsheng Li
89 publications
Bo Liu
84 publications
Chao Chen
60 publications
Lingfei Wu
56 publications
Yi Zhu
52 publications
Manmohan Chandraker
51 publications
Ian Goodfellow
50 publications
Han Zhang
48 publications
Rogerio Feris
42 publications

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training

Data augmentation has proved extremely useful by increasing training dat...
03/30/2021 ∙ by Yunhe Gao, et al. ∙ 16 ∙ share

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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...
03/05/2021 ∙ by Ananya Jana, et al. ∙ 11 ∙ share

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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 ...
03/04/2021 ∙ by Meng Ye, et al. ∙ 20 ∙ share

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Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

Recently, Generative Adversarial Networks (GANs) have demonstrated their...
02/09/2021 ∙ by Yikai Zhang, et al. ∙ 7 ∙ share

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SelfNorm and CrossNorm for Out-of-Distribution Robustness

Normalization techniques are crucial in stabilizing and accelerating the...
02/04/2021 ∙ by Zhiqiang Tang, et al. ∙ 12 ∙ share

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A Topological Filter for Learning with Label Noise

Noisy labels can impair the performance of deep neural networks. To tack...
12/09/2020 ∙ by Pengxiang Wu, et al. ∙ 9 ∙ share

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

We introduce a novel representation learning method to disentangle pose-...
12/02/2020 ∙ by Long Zhao, et al. ∙ 7 ∙ share

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Error-Bounded Correction of Noisy Labels

To collect large scale annotated data, it is inevitable to introduce lab...
11/19/2020 ∙ by Songzhu Zheng, et al. ∙ 2 ∙ share

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Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...
10/15/2020 ∙ by Long Zhao, et al. ∙ 7 ∙ share

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

Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly preva...
09/22/2020 ∙ by Ananya Jana, et al. ∙ 27 ∙ share

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Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Accurate estimation of shape thickness from medical images is crucial in...
08/25/2020 ∙ by Qiaoying Huang, et al. ∙ 7 ∙ share

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Enhanced MRI Reconstruction Network using Neural Architecture Search

The accurate reconstruction of under-sampled magnetic resonance imaging ...
08/19/2020 ∙ by Qiaoying Huang, et al. ∙ 44 ∙ share

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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...
08/18/2020 ∙ by Meng Ye, et al. ∙ 16 ∙ share

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

Oriented object detection in aerial images is a challenging task as the ...
08/17/2020 ∙ by Jingru Yi, et al. ∙ 4 ∙ share

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OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Data augmentation is one of the most important tools in training modern ...
07/17/2020 ∙ by Zhiqiang Tang, et al. ∙ 15 ∙ share

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Learn distributed GAN with Temporary Discriminators

In this work, we propose a method for training distributed GAN with sequ...
07/17/2020 ∙ by Hui Qu, et al. ∙ 13 ∙ share

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Unbiased Auxiliary Classifier GANs with MINE

Auxiliary Classifier GANs (AC-GANs) are widely used conditional generati...
06/13/2020 ∙ by Ligong Han, et al. ∙ 0 ∙ share

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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 ...
03/15/2020 ∙ by Pengxiang Wu, et al. ∙ 13 ∙ share

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Point Cloud Processing via Recurrent Set Encoding

We present a new permutation-invariant network for 3D point cloud proces...
11/25/2019 ∙ by Pengxiang Wu, et al. ∙ 34 ∙ share

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Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

Conditional generative adversarial networks have shown exceptional gener...
11/21/2019 ∙ by Ligong Han, et al. ∙ 24 ∙ share

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Unsupervised Domain Adaptation via Calibrating Uncertainties

Unsupervised domain adaptation (UDA) aims at inferring class labels for ...
07/25/2019 ∙ by Ligong Han, et al. ∙ 9 ∙ share

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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...
02/22/2019 ∙ by Xiaoxiao He, et al. ∙ 2 ∙ share

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MRI Reconstruction via Cascaded Channel-wise Attention Network

We consider an MRI reconstruction problem with input of k-space data at ...
10/18/2018 ∙ by Qiaoying Huang, et al. ∙ 0 ∙ share

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Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...
08/07/2018 ∙ by Zhiqiang Tang, et al. ∙ 0 ∙ share

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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...
07/26/2018 ∙ by Long Zhao, et al. ∙ 4 ∙ share

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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...
05/24/2018 ∙ by Xi Peng, et al. ∙ 2 ∙ share

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Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Generative Adversarial Netw...
05/21/2018 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Improving GANs Using Optimal Transport

We present Optimal Transport GAN (OT-GAN), a variant of generative adver...
03/15/2018 ∙ by Tim Salimans, et al. ∙ 0 ∙ share

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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...
02/06/2018 ∙ by Rahil Mehrizi, et al. ∙ 0 ∙ share

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Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...
12/02/2017 ∙ by Yan Zhu, et al. ∙ 0 ∙ share

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

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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

Automatic liver segmentation in 3D medical images is essential in many c...
07/25/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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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...
05/17/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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Sketch-based Face Editing in Video Using Identity Deformation Transfer

We address the problem of using hand-drawn sketch to edit facial identit...
03/25/2017 ∙ by Long Zhao, et al. ∙ 1 ∙ share

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Reconstruction-Based Disentanglement for Pose-invariant Face Recognition

Deep neural networks (DNNs) trained on large-scale datasets have recentl...
02/10/2017 ∙ by Xi Peng, et al. ∙ 0 ∙ share

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

Synthesizing high-quality images from text descriptions is a challenging...
12/10/2016 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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