ICPR2020 call for Papers

ICPR 2020 is the premier world conference in Pattern Recognition. It covers both theoretical issues and applications of the discipline. We solicit original research for publication in the main conference. Topics of interest include all aspects of Pattern Recognition, not limited to the following detailed list:

Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis

  • statistical, syntactic and structural pattern recognition
  • classification and clustering
  • artificial neural networks architectures and models
  • machine learning:  symbolic learning, deep learning, transfer learning, active and ensemble learning, semi-supervised learning and spectral methods, reinforcement learning and temporal models

Track 2: Biometrics, Human Analysis and Behavior Understanding

Biometric systems and forensics applications:

  • hard biometrics: face, iris, gait, fingerprint, speech-based recognition
  • soft biometrics: skin, hair, facial and body measurements, behavior, facial expression-based recognition
  • multi-biometrics
  • closed set, open set, open world identity recognition
  • gesture, action and event recognition and tracking
  • human computer interaction: human body motion and gesture-based interaction, speech and natural language-based interaction
  • affective computing
  • pattern recognition for surveillance and security

Track 3: Computer Vision, Robotics and Intelligent Systems

  • early and low-level vision
  • physics-based vision and perceptual organization
  • stereo and multiple view geometry, 3D shape recovery
  • 2D/3D object detection and recognition
  • motion, tracking and video analysis
  • deformable object tracking and registration
  • object recognition and manipulation
  • image and video analysis and understanding
  • vision for autonomous driving
  • vision for robotics, robot navigation and SLAM

Track 4: Document and Media Analysis

  • audio and acoustic processing and analysis
  • spoken language processing
  • character and text recognition
  • handwriting recognition
  • document understanding
  • content based image retrieval and data mining
  • multimedia analysis
  • visual question and answering
  • multimedia applications of pattern recognition
  • media analysis for augmented and virtual reality
  • multimodal fusion

Track 5: Image and Signal Processing

  • sensor array & multichannel signal processing
  • enhancement, restoration and filtering
  • segmentation, features and descriptors
  • coding, compression and super-resolution
  • automatic speech and speaker recognition
  • medical image and signal analysis
  • biological image and signal analysis
  • volumetric image analysis
  • brain-computer interfaces

Important Dates

FIRST ROUND REVIEW

Paper Submission Deadline
April 15, 2020 [11:59 p.m. Central European Std Time]
Final Decisions to Authors.
June 15, 2020

SECOND ROUND REVIEW

Paper Submission Deadline
July 10, 2020 [11:59 p.m. Central European Std Time]
Final Decisions to Authors.
September 30, 2020

CAMERA READY FOR IEEE PROCEEDINGS

Camera ready Submission Deadline
October 15, 2020

Author instructions

Submissions should be made to the appropriate Conference tracks. All papers will be peer reviewed single-blind. The accepted papers will be published by IEEE and will be available in the IEEExplore.  Submissions should be 6 pages minimum, 8 pages maximum including references (IEEE format).

Author Instructions HERE

Contacts

ICPR-2020 Program Chairs

  • Prof. Kim Boyer (Univ. of Albany, USA) kboyer3@albany.edu
  • Prof. Nicu Sebe (Univ. of Trento, Italy) niculae.sebe@unitn.it
  • Prof. Brian Lovell (Univ. of Queensland, Australia) lovell@itee.uq.edu.au
  • Prof. Marcello Pelillo (Caí Foscari Univ., Italy) marcello.pelillo@gmail.com
  • Prof. Rene Vidal (Johns Hopkins Univ., USA) rvidal@cis.jhu.edu
  • Prof. Jingyi Yu (Shanghai Tech, China) jingyi.udel@gmail.com

Special Issues

ICPR2020 gives the opportunity to host best papers presented at the conference in Special Issues of qualified journals in the field of Pattern Recognition, Computer Vision and Multimedia. More Info HERE