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Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision

Karteek Alahari 1 Dhruv Batra 2 Srikumar Ramalingam 3 Nikos Paragios 4, 5 Richard Zemel 6
1 VGG - Visual Geometry Group
2 Virginia Polytechnic Institute and State University [Blacksburg]
3 MERL - Mitsubishi Electric Research Laboratories
4 CVN - Centre de vision numérique
5 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
Ecole Centrale Paris, Inria Saclay - Ile de France
6 University of Toronto
Abstract : The papers in this special section address the programs and services supported by graphical models in computer vision. This section explores the main challenges in this framework-modeling novel priors, learning, inference-and presents innovative solutions. The papers cover the aspects of modeling novel priors, inference algorithms and parameter learning methods in the context of higher order graphical models.
Keywords : Graphical models Computer vision Special issue and sections Markov processes
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https://hal-centralesupelec.archives-ouvertes.fr/hal-02423501
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Submitted on : Tuesday, December 24, 2019 - 2:05:45 PM
Last modification on : Tuesday, September 21, 2021 - 3:02:37 AM

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Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard Zemel. Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2015, 37 (7), pp.1321-1322. ⟨10.1109/TPAMI.2015.2434651⟩. ⟨hal-02423501⟩

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