Dimitris N. Metaxas

Sort by:

A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI

Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore
IEEE Transactions on Image Processing
2011

Intensity inhomogeneity often occurs in real-world images, which presents a considerable challenge in image segmentation. The most widely used image segmentation algorithms are region-based and… (More)

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

Han Zhang, Tao Xu, +4 authors Dimitris N. Metaxas
2017 IEEE International Conference on Computer…
2017

Synthesizing high-quality images from text descriptions is a challenging problem in computer vision and has many practical applications. Samples generated by existing textto- image approaches can… (More)

Realistic Animation of Liquids

Nick Foster, Dimitris N. Metaxas
CVGIP: Graphical Model and Image Processing
1996

We present a comprehensive methodology for realistically animating liquid phenomena. Our approach unifies existing computer graphics techniques for simulating fluids and extends them by incorporating… (More)

Query Specific Fusion for Image Retrieval

Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas
ECCV
2012

Recent image retrieval algorithms based on local features indexed by a vocabulary tree and holistic features indexed by compact hashing codes both demonstrate excellent scalability. However, their… (More)

Dynamic 3D models with local and global deformations: deformable superquadrics

Demetri Terzopoulos, Dimitris N. Metaxas
ICCV
1990

This paper presents a physically-baed approach to fitting comples 3D shapes using a new c las of dynamic models. T h e ~ e models can deform both locally and globally. We formulate deformable… (More)

Modeling the motion of a hot, turbulent gas

This paper describes a new animation technique for modeling the turbulent rotational motion that occurs when a hot gas interacts with solid objects and the surrounding medium. The method is… (More)

Handling Noise in Single Image Deblurring Using Directional Filters

Lin Zhong, Sunghyun Cho, Dimitris N. Metaxas, Sylvain Paris, Jue Wang
2013 IEEE Conference on Computer Vision and…
2013

State-of-the-art single image deblurring techniques are sensitive to image noise. Even a small amount of noise, which is inevitable in low-light conditions, can degrade the quality of blur kernel… (More)

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan, Dimitris N. Metaxas
2013 IEEE International Conference on Computer…
2013

This paper addresses the problem of facial landmark localization and tracking from a single camera. We present a two-stage cascaded deformable shape model to effectively and efficiently localize… (More)

Learning with structured sparsity

Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
ICML
2009

This paper investigates a new learning formulation called structured sparsity, which is a natural extension of the standard sparsity concept in statistical learning and compressive sensing. By… (More)

Discriminative density propagation for 3D human motion estimation

Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas
2005 IEEE Computer Society Conference on Computer…
2005

We describe a mixture density propagation algorithm to estimate 3D human motion in monocular video sequences based on observations encoding the appearance of image silhouettes. Our approach is… (More)

Filter Results:

Publication Year

Publication Type

Co-author

Journals and Conferences