Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDDimitris N. Metaxas
Person information
- affiliation: Rutgers University, Division of Computer and Information Sciences
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]