2002 - Fellow of the Indian National Academy of Engineering (INAE)
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Motion estimation. Feature extraction, Hidden Markov model, Segmentation, Boosting and Iterative reconstruction are the subjects of his Artificial intelligence studies. His Computer vision research focuses on subjects like Motion, which are linked to Ventricle and Biomedical engineering.
His work deals with themes such as Adversarial system, Facial recognition system, Generative grammar and Feature, which intersect with Pattern recognition. His Machine learning study incorporates themes from Statistical learning, Theoretical computer science, Bayesian probability and Greedy algorithm. His research integrates issues of Cognitive neuroscience of visual object recognition and Generalized forces in his study of Motion estimation.
Dimitris N. Metaxas mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Image segmentation. His study brings together the fields of Machine learning and Artificial intelligence. His research related to Tracking, Motion estimation, Face, Motion and Iterative reconstruction might be considered part of Computer vision.
His Pattern recognition research is multidisciplinary, relying on both Contextual image classification, Facial recognition system and Image retrieval. His research investigates the connection between Facial recognition system and topics such as Facial expression that intersect with issues in Speech recognition. His research in Segmentation intersects with topics in Magnetic resonance imaging, Initialization, Object and Boundary.
His main research concerns Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Deep learning. His studies in Artificial intelligence integrate themes in fields like Machine learning and Code. His Pattern recognition research includes themes of Object detection, Minimum bounding box, Feature and Cluster analysis.
His Segmentation study deals with Magnetic resonance imaging intersecting with Medical imaging. His Computer vision study combines topics from a wide range of disciplines, such as Frame and Trajectory. His research in Deep learning tackles topics such as Discriminator which are related to areas like Real image.
Dimitris N. Metaxas mainly focuses on Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Deep learning. His biological study deals with issues like Code, which deal with fields such as Detector. Dimitris N. Metaxas interconnects Leverage and Gesture recognition in the investigation of issues within Pattern recognition.
His Segmentation research incorporates themes from Idiopathic scoliosis, Cobb angle and Vertebra. His work on Motion, Iterative reconstruction, Landmark and Feature extraction as part of general Computer vision research is frequently linked to Articular cartilage, bridging the gap between disciplines. His biological study spans a wide range of topics, including Positive-definite matrix, Theoretical computer science, Contextual image classification, Joint and Compressed sensing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Dynamic 3D models with local and global deformations: deformable superquadrics
D. Terzopoulos;D. Metaxas.
international conference on computer vision (1990)
A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
Chunming Li;Rui Huang;Zhaohua Ding;J C Gatenby.
IEEE Transactions on Image Processing (2011)
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang.
arXiv: Computer Vision and Pattern Recognition (2016)
Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.
Terry S. Yoo;Michael J. Ackerman;William E. Lorensen;Will Schroeder.
medicine meets virtual reality (2002)
Self-Attention Generative Adversarial Networks
Han Zhang;Ian J. Goodfellow;Dimitris N. Metaxas;Augustus Odena.
arXiv: Machine Learning (2018)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
Dimitris Metaxas;Leon Axel;Gabor Fichtinger;Gábor Székely.
Lecture Notes in Computer Science (2008)
Conditional models for contextual human motion recognition
Cristian Sminchisescu;Atul Kanaujia;Dimitris Metaxas.
Computer Vision and Image Understanding (2006)
Modeling the motion of a hot, turbulent gas
Nick Foster;Dimitris Metaxas.
international conference on computer graphics and interactive techniques (1997)
Shape and nonrigid motion estimation through physics-based synthesis
D. Metaxas;D. Terzopoulos.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1993)
An anthropometric face model using variational techniques
Douglas DeCarlo;Dimitris Metaxas;Matthew Stone.
international conference on computer graphics and interactive techniques (1998)
Profile was last updated on December 6th, 2021.
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Publications: 52
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