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Dimitris N. Metaxas
Dimitris N. Metaxas
Distinguished Professor of Computer Science, Rutgers University
Verified email at cs.rutgers.edu - Homepage
Title
Cited by
Cited by
Year
Self-attention generative adversarial networks
H Zhang, I Goodfellow, D Metaxas, A Odena
International conference on machine learning, 7354-7363, 2019
45902019
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas
IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 5907-5915, 2017
34992017
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
C Li, R Huang, Z Ding, JC Gatenby, DN Metaxas, JC Gore
IEEE transactions on image processing 20 (7), 2007-2016, 2011
16042011
Stackgan++: Realistic image synthesis with stacked generative adversarial networks
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1947-1962, 2018
15182018
Dynamic 3D models with local and global deformations: Deformable superquadrics
D Terzopoulos, D Metaxas
Computer Vision, 1990. Proceedings, Third International Conference on, 606-615, 1990
13531990
Realistic animation of liquids
N Foster, D Metaxas
Graphical models and image processing 58 (5), 471-483, 1996
11821996
Engineering and algorithm design for an image processing API: a technical report on ITK-the insight toolkit
TS Yoo, MJ Ackerman, WE Lorensen, W Schroeder, V Chalana, ...
Medicine Meets Virtual Reality 02/10, 586-592, 2002
8642002
Learning with structured sparsity
J Huang, T Zhang, D Metaxas
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
6572009
Learning multiscale active facial patches for expression analysis
L Zhong, Q Liu, P Yang, J Huang, DN Metaxas
IEEE transactions on cybernetics 45 (8), 1499-1510, 2014
6472014
Conditional models for contextual human motion recognition
C Sminchisescu, A Kanaujia, D Metaxas
Computer Vision and Image Understanding 104 (2-3), 210-220, 2006
6152006
Semantic graph convolutional networks for 3d human pose regression
L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5782019
Modeling the motion of a hot, turbulent gas
N Foster, D Metaxas
SIGGRAPH '97 Proceedings of the 24th annual conference on Computer graphics …, 1997
5701997
Shape and nonrigid motion estimation through physics-based synthesis
D Metaxas, D Terzopoulos
IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (6), 580-591, 1993
5661993
An anthropometric face model using variational techniques
D DeCarlo, D Metaxas, M Stone
Proceedings of the 25th annual conference on Computer graphics and …, 1998
5181998
Optical flow constraints on deformable models with applications to face tracking
D Decarlo, D Metaxas
International Journal of Computer Vision 38 (2), 99-127, 2000
4612000
A framework for recognizing the simultaneous aspects of american sign language
C Vogler, D Metaxas
Computer Vision and Image Understanding 81 (3), 358-384, 2001
4382001
Multispectral deep neural networks for pedestrian detection
J Liu, S Zhang, S Wang, DN Metaxas
arXiv preprint arXiv:1611.02644, 2016
4362016
UTNet: a hybrid transformer architecture for medical image segmentation
Y Gao, M Zhou, DN Metaxas
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
4312021
Three-dimensional human body model acquisition from multiple views
IA Kakadiaris, D Metaxas
International Journal of Computer Vision 30, 191-218, 1998
4101998
ASL recognition based on a coupling between HMMs and 3D motion analysis
C Vogler, D Metaxas
Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998
4051998
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