Dimitris Metaxas

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Rutgers University

Chair, Department of Computer Science at Rutgers University, Director NSF/UCR Center for Dynamic Data Analytics at Rutgers University, Distinguished Professor of Computer Science and Biomedical Engineering 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
125 publications
Hongsheng Li
60 publications
Bo Liu
50 publications
Ian Goodfellow
49 publications
Lingfei Wu
40 publications
Chao Chen
37 publications
Manmohan Chandraker
33 publications
Han Zhang
32 publications
Xi Peng
31 publications
Vladimir Pavlovic
30 publications
Rogerio Feris
25 publications

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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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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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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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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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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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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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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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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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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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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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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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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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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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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