ICIAP 2021 is the 21st edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR)
The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics:
Video Analysis & Understanding; Pattern Recognition and Machine Learning; Deep Learning
Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics and Biometrics; Image Processing for Cultural Heritage; Robot Vision; Brave new Ideas;
Invited Speaker (Confirmed)
Prof. Larry S. Davis
University of Maryland & Amazon, USA
Larry S. Davis received his bachelor of arts degree from Colgate University in 1970. He received his MS and PhD from the University of Maryland in 1974 and 1976 respectively.
From 1977 to 1981, he was an assistant professor in the Department of Computer Science at the University of Texas, Austin. He then took a position as a professor at the University of Maryland in 1981. From 1985 to 1994, he was the director of the University of Maryland Institute for Advanced Computer Studies.
Currently Davis is a Professor in the Institute for Advanced Computer Studies and the Department of Computer Science. He served as chair of the Department of Computer Science from 1999 to 2012. He is the director of the Center for Automation Research (CfAR).
Davis is a fellow of the International Association for Pattern Recognition (IAPR), the Institute of Electrical and Electronic Engineers (IEEE) and the Association for Computing Machinery (ACM). His research has been cited nearly 40,000 times.
Prof. Roberto Cipolla
University of Cambridge UK
Roberto Cipolla obtained a B.A. (Engineering) from the University of Cambridge in 1984 and an M.S.E. (Electrical Engineering) from the University of Pennsylvania in 1985. From 1985 to 1988 he studied and worked in Japan at the Osaka University of Foreign Studies (Japanese Language) and Electrotechnical Laboratory.
In 1991 he was awarded a D.Phil. (Computer Vision) from the University of Oxford and from 1991-92 was a Toshiba Fellow and engineer at the Toshiba Corporation Research and Development Centre in Kawasaki, Japan. He joined the Department of Engineering, University of Cambridge in 1992 as a Lecturer and a Fellow of Jesus College. He became a Reader in Information Engineering in 1997 and a Professor in 2000.
His research interests are in computer vision and robotics and include the recovery of motion and 3D shape of visible surfaces from image sequences; object detection and recognition; novel man-machine interfaces using hand, face and body gestures; real-time visual tracking for localisation and robot guidance; aplications of computer vision in mobile phones, visual inspection and image-retrieval and video search. He has authored 2 books, edited 12 volumes and co-authored more than 400 papers.
Prof. Dima Aldamen
University of Bristol UK
Reader (Associate Professor) in Computer Vision at the University of Bristol, United Kingdom. Received her PhD from the University of Leeds, UK (2009). Dima’s research interests are in the automatic understanding of object interactions, actions and activities using static and wearable visual (and depth) sensors. Dima co-chaired BMVC 2013, is area chair for BMVC (2014-2018), associate editor of Pattern Recognition (2017-). She was selected as a Nokia Research collaborator in 2016, and as an Outstanding Reviewer in ICCV17, CVPR13 and CVPR12. She currently supervises 8 PhD students, and 3 postdoctoral researchers.
Prof. Dr. Laura Leal-Taixe
Technische Universität München GE
Prof. Dr. Laura Leal-Taixé was born in Barcelona where she pursued B.Sc. and M.Sc. in Telecommunications Engineering at the Technical University of Catalonia (UPC). She went to Boston, USA to do her Masters Thesis at Northeastern University with a fellowship from the Vodafone foundation. She obtained her PhD from the Institute for Information Processing (TNT) of the Leibniz University of Hannover in Germany, spending a year as a visiting scholar at the University of Michigan, Ann Arbor, USA. She then spent two years as a postdoctoral researcher at the Institute for Geodesy and Photogrammetry at ETH Zürich, Switzerland, and a year as senior postdoctoral researcher in the Computer Vision Group at the Technical University in Munich. She is a recipient of the Sofja Kovalevskaja Award of 1.65 million euros for her project socialMaps.
Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS).
The Microsoft CMT platform will be used for submission and managing all the review process.
Organizers will provide Springer direction to build manuscript in Word and Latex based on Springer LNCS Information for Authors of Computer Science Publications.
Double blind reviews
Reviews Start: April 6, 2021
Reviews Deadline: June 5, 2021
Program Chairs Preliminary Decisions: June 10, 2021
Dates & Schedule: (tentative)
Call for challenge proposals: December 1st, 2020
Workshop proposals: March 1st, 2021
Paper Submission : May 5th, 2021
Notifications to Authors : June 15th, 2021
Camera Ready Papers Due : July 12th, 2021
Challenge deadline: June 12th, 2021
Early Registration Deadline : June 26, 2021
Tutorial Date: September 13th 2021
Workshop Dates: September 14th, 2021
Conference Dates: September 15th – 17th , 2021
Tentative Arrangement of Sessions:
Sept 13-14: Main conference registration plus Workshops/Tutorial day
Sept 15: Main conference – Industrial Session (Demos, panel). Conference Welcome
Sept 16: Main conference – Conference Gala Dinner
Sept 17: Main Conference full day
Full-Registration (IAPR member)
Student Registration (IAPR member)
Tutorial/workshop registration (IAPR member)
Tutorial/workshop registration (non-member)