
Dimitris N. Metaxas
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- affiliation: Rutgers University, Division of Computer and Information Sciences
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2020 – today
- 2021
- [j129]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen
, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Medical Image Anal. 67: 101831 (2021) - 2020
- [j128]Alireza Naghizadeh
, Samaneh Berenjian, David J. Margolis, Dimitris N. Metaxas:
GNM: GridCell navigational model. Expert Syst. Appl. 148: 113217 (2020) - [j127]Long Zhao
, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks. Int. J. Comput. Vis. 128(10): 2514-2533 (2020) - [j126]Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21: 152:1-152:50 (2020) - [j125]Zhiqiang Tang
, Xi Peng
, Kang Li
, Dimitris N. Metaxas:
Towards Efficient U-Nets: A Coupled and Quantized Approach. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 2038-2050 (2020) - [j124]Alireza Naghizadeh
, Mohammadsajad Abavisani, Dimitris N. Metaxas:
Greedy AutoAugment. Pattern Recognit. Lett. 138: 624-630 (2020) - [j123]Zixing Zhang
, Dimitris N. Metaxas, Hung-yi Lee
, Björn W. Schuller
:
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 414-416 (2020) - [j122]Hui Qu
, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan
, Kang Li
, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3655-3666 (2020) - [c390]Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen:
Local Regularizer Improves Generalization. AAAI 2020: 6861-6868 - [c389]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI 2020: 10909-10916 - [c388]Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. AAAI 2020: 12677-12684 - [c387]Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. BIBE 2020: 981-986 - [c386]Long Zhao
, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. CVPR 2020: 6527-6536 - [c385]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CVPR 2020: 11382-11392 - [c384]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR 2020: 13853-13863 - [c383]Zachary A. Daniels, Dimitris N. Metaxas:
Active Scene Classification via Dynamically Learning Prototypical Views. DDDAS 2020: 179-187 - [c382]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn Distributed GAN with Temporary Discriminators. ECCV (27) 2020: 175-192 - [c381]Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. ECCV Workshops (1) 2020: 298-309 - [c380]Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas:
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention. ECCV (18) 2020: 300-316 - [c379]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) 2020: 313-329 - [c378]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. ICML 2020: 11447-11457 - [c377]Dong Yang, Qiaoying Huang, Kanski Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. ISBI 2020: 1-4 - [c376]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. ISBI 2020: 736-740 - [c375]Hui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas:
Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty. ISBI 2020: 973-976 - [c374]Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas:
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI. ISBI 2020: 1752-1755 - [c373]Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. ISVC (2) 2020: 251-262 - [c372]Alireza Naghizadeh, Dimitris N. Metaxas:
Condensed Silhouette: An Optimized Filtering Process for Cluster Selection in K-Means. KES 2020: 205-214 - [c371]Zhuowei Li, Qing Xia, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan, Dimitris N. Metaxas:
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. MLMI@MICCAI 2020: 130-138 - [c370]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network Using Neural Architecture Search. MLMI@MICCAI 2020: 634-643 - [c369]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS 2020 - [c368]Mahdi Abavisani, Alireza Naghizadeh, Dimitris N. Metaxas, Vishal M. Patel:
Deep Subspace Clustering with Data Augmentation. NeurIPS 2020 - [c367]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. NeurIPS 2020 - [i58]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. CoRR abs/2001.03187 (2020) - [i57]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CoRR abs/2003.06754 (2020) - [i56]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. CoRR abs/2004.00176 (2020) - [i55]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR abs/2006.00080 (2020) - [i54]Ligong Han, Anastasis Stathopoulos, Tao Xue, Dimitris N. Metaxas:
Unbiased Auxiliary Classifier GANs with MINE. CoRR abs/2006.07567 (2020) - [i53]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. CoRR abs/2007.05448 (2020) - [i52]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn distributed GAN with Temporary Discriminators. CoRR abs/2007.09221 (2020) - [i51]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR abs/2007.09271 (2020) - [i50]Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. CoRR abs/2008.07043 (2020) - [i49]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. CoRR abs/2008.08194 (2020) - [i48]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network using Neural Architecture Search. CoRR abs/2008.08248 (2020) - [i47]Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas:
Learning Trailer Moments in Full-Length Movies. CoRR abs/2008.08502 (2020) - [i46]Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris N. Metaxas, Shanhui Sun:
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks. CoRR abs/2008.11109 (2020) - [i45]Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. CoRR abs/2009.10687 (2020) - [i44]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR abs/2010.08001 (2020) - [i43]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. CoRR abs/2011.10077 (2020) - [i42]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CoRR abs/2012.01405 (2020) - [i41]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. CoRR abs/2012.04835 (2020) - [i40]Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR abs/2012.08604 (2020)
2010 – 2019
- 2019
- [j121]Long Zhao
, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas:
Cartoonish sketch-based face editing in videos using identity deformation transfer. Comput. Graph. 79: 58-68 (2019) - [j120]Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
ASSD: Attentive single shot multibox detector. Comput. Vis. Image Underst. 189 (2019) - [j119]Lezi Wang, Xiang Yu, Thirimachos Bourlai
, Dimitris N. Metaxas:
A coupled encoder-decoder network for joint face detection and landmark localization. Image Vis. Comput. 87: 37-46 (2019) - [j118]Jingru Yi
, Pengxiang Wu, Menglin Jiang
, Qiaoying Huang, Daniel J. Hoeppner, Dimitris N. Metaxas:
Attentive neural cell instance segmentation. Medical Image Anal. 55: 228-240 (2019) - [j117]Han Zhang
, Tao Xu
, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1947-1962 (2019) - [j116]Rahil Mehrizi
, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li
:
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Trans. Hum. Mach. Syst. 49(1): 85-94 (2019) - [c366]Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. AAAI 2019: 5441-5449 - [c365]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - [c364]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. BMVC 2019: 103 - [c363]Lezi Wang, Chongyang Bai, Maksim Bolonkin, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian, Dimitris N. Metaxas:
Attention-based Facial Behavior Analytics inSocial Communication. BMVC 2019: 271 - [c362]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops 2019: 99-102 - [c361]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow. CVPR Workshops 2019: 1057-1064 - [c360]Long Zhao
, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR 2019: 3425-3435 - [c359]Qiaoying Huang, Dong Yang, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI. FIMH 2019: 352-360 - [c358]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas:
Sharpen Focus: Learning With Attention Separability and Consistency. ICCV 2019: 512-521 - [c357]Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas:
AdaTransform: Adaptive Data Transformation. ICCV 2019: 2998-3006 - [c356]Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. ICML 2019: 7354-7363 - [c355]Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen:
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI 2019: 1312-1318 - [c354]Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas:
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI 2019: 4348-4354 - [c353]Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K. Min, Leon Axel, Dimitris N. Metaxas:
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation. ISBI 2019: 793-797 - [c352]Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas:
Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images. ISBI 2019: 900-904 - [c351]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Context-Refined Neural Cell Instance Segmentation. ISBI 2019: 1028-1032 - [c350]Zachary A. Daniels, Dimitris N. Metaxas:
Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic Models. ISBI 2019: 1270-1274 - [c349]Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas:
MRI Reconstruction Via Cascaded Channel-Wise Attention Network. ISBI 2019: 1622-1626 - [c348]Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas:
Deep Attentive Feature Learning for Histopathology Image Classification. ISBI 2019: 1865-1868 - [c347]Xiaoxiao He
, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris N. Metaxas, Kang Li:
Effective 3D humerus and scapula extraction using low-contrast and high-shape-variability MR data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530O - [c346]Qiaoying Huang, Xiao Chen, Dimitris N. Metaxas, Mariappan S. Nadar:
Brain Segmentation from k-Space with End-to-End Recurrent Attention Network. MICCAI (3) 2019: 275-283 - [c345]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. MICCAI (2) 2019: 282-290 - [c344]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes. MICCAI (1) 2019: 369-377 - [c343]Hui Qu, Zhennan Yan, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss. MICCAI (1) 2019: 378-386 - [c342]Qiaoying Huang, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
Dynamic MRI Reconstruction with Motion-Guided Network. MIDL 2019: 275-284 - [c341]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images. MIDL 2019: 390-400 - [c340]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. NeurIPS 2019: 11681-11692 - [i39]Xiaoxiao He, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris N. Metaxas, Kang Li:
Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data. CoRR abs/1902.08527 (2019) - [i38]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CoRR abs/1904.03345 (2019) - [i37]Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas:
2nd Place Solution to the GQA Challenge 2019. CoRR abs/1907.06794 (2019) - [i36]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. CoRR abs/1907.08871 (2019) - [i35]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes. CoRR abs/1907.09140 (2019) - [i34]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CoRR abs/1907.11202 (2019) - [i33]Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas:
Greedy AutoAugment. CoRR abs/1908.00704 (2019) - [i32]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. CoRR abs/1908.04469 (2019) - [i31]Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
ASSD: Attentive Single Shot Multibox Detector. CoRR abs/1909.12456 (2019) - [i30]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. CoRR abs/1910.02548 (2019) - [i29]Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. CoRR abs/1911.09199 (2019) - [i28]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR abs/1911.09298 (2019) - [i27]Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. CoRR abs/1911.10729 (2019) - 2018
- [j115]Xi Peng
, Shaoting Zhang, Yang Yu, Dimitris N. Metaxas:
Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild. Int. J. Comput. Vis. 126(2-4): 184-197 (2018) - [j114]Xi Peng
, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment. Int. J. Comput. Vis. 126(10): 1103-1119 (2018) - [j113]Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
:
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65(4): 733-744 (2018) - [c339]Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas:
CU-Net: Coupled U-Nets. BMVC 2018: 305 - [c338]Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CVPR 2018: 2226-2234 - [c337]Hareesh Ravi, Lezi Wang, Carlos Muñiz, Leonid Sigal, Dimitris N. Metaxas, Mubbasir Kapadia:
Show Me a Story: Towards Coherent Neural Story Illustration. CVPR 2018: 7613-7621 - [c336]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. ECCV (3) 2018: 348-364 - [c335]Jingru Yi
, Pengxiang Wu
, Menglin Jiang
, Daniel J. Hoeppner, Dimitris N. Metaxas:
Instance Segmentation of Neural Cells. ECCV Workshops (6) 2018: 395-402 - [c334]Long Zhao
, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. ECCV (15) 2018: 403-419 - [c333]Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li
:
Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution. FG 2018: 485-491 - [c332]Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas:
Improving GANs Using Optimal Transport. ICLR (Poster) 2018 - [c331]Yu Tian, Xi Peng, Long Zhao
, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [c330]Jingru Yi, Pengxiang Wu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Pixel-wise neural cell instance segmentation. ISBI 2018: 373-377 - [c329]Dong Yang, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood. ISBI 2018: 479-483 - [c328]Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li
, Dimitris N. Metaxas, Yiqiang Zhan:
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. ISBI 2018: 1221-1224 - [c327]Dimitris N. Metaxas, Mark Dilsizian, Carol Neidle:
Linguistically-driven Framework for Computationally Efficient and Scalable Sign Recognition. LREC 2018 - [c326]Dong Yang, Bo Liu, Leon Axel, Dimitris N. Metaxas:
3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network. STACOM@MICCAI 2018: 181-190 - [i26]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment. CoRR abs/1801.06066 (2018) - [i25]Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris N. Metaxas, Kang Li:
Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution. CoRR abs/1802.01741 (2018) - [i24]Zachary A. Daniels, Dimitris N. Metaxas:
Scenarios: A New Representation for Complex Scene Understanding. CoRR abs/1802.06117 (2018) - [i23]Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas:
Improving GANs Using Optimal Transport. CoRR abs/1803.05573 (2018) - [i22]Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. CoRR abs/1805.08318 (2018) - [i21]Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CoRR abs/1805.09707 (2018) - [i20]