The 5th Asian Conference on Pattern Recognition (ACPR 2019) took place on 26-29 November 2019 at Auckland, starting with a welcome reception on the evening of 25 November.
ACPR is a premier-level international conference that brings together researchers working in pattern recognition and related fields. Submissions are not restricted to those from Asia-Pacific, and are highly encouraged.
Topics of interest include all aspects of pattern recognition, including, but not limited to:
- Computer Vision and Robot Vision
- Pattern Recognition and Machine Learning
- Signal Processing (signal, speech, image)
- Media Processing and Interaction (videos, documents, medical, biometrics, HCI, VR, etc.)
The conference was held at the Aotea Centre
in Auckland. ACPR 2019 was brought to you by the Auckland University of Technology (AUT)
, in collaboration with the University of Otago
and the Indian Statistical Institute
Our Keynote Speakers
- Professor Yihong Wu (Chinese Academy of Sciences, China)
Is it Possible to Localize a Camera without Matching?
- Professor Andrea Cavallaro (Queen Mary University of London, UK)
Multimodal Learning for Robust and Privacy Preserving Analytics
- Professor Dacheng Tao (University of Sydney, Australia)
AI at Dawn - Opportunities and Challenges
See individual workshops
for workshop deadlines; main conference as follows:
All times are in IDLW
/ Anywhere in the World (except for the conference itself).
Abstract Submission: 24 July 2019 (submission of title and abstract in EasyChair)
We have received 273 registered submissions for the main conference (workshop deadlines are later).
Paper Submission: 1 August 2019 (no extensions)
Supplementary Materials: 1 August 2019
Notification to Authors: 1 September 2019
Accepted papers are listed here.
Camera Ready Papers Due: 1 October 2019
Demonstration Submission: 1 November 2019
Welcome Reception: 25 November (evening)
Conference Dates: 26-29 November 2019 (NZ Time)
Final Paper Sources: 6 December 2019
Awards at ACPR 2019
The Program Chairs of ACPR 2019 selected the recipients of three awards (each with a $400 prize, partially sponsored by the International Association of Pattern Recognition (IAPR)):
- IAPR Best Paper Award
Nina Tuluptceva, Bart Bakker, Irina Fedulova and Anton Konushin (Russian Federation)
Perceptual Image Anomaly Detection
- IAPR Best Application Paper Award
Yadong Pan and Shoji Nishimura (Japan)
Multi-Person Pose Estimation with Mid-Points for Human Detection under Real-World Surveillance
- IAPR Best Poster Award
Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato and Hidenori Sakanashi (Japan)
Prototype-based Interpretation of Pathological Image Analysis by Convolutional Neural Networks
The General Chairs of ACPR 2019 selected the recipients of the following award (with a NZ$300 prize, sponsored by N3T):
- N3T Best Paper on "Road and Vehicle Safety"
(main conference and workshop papers are eligible)
Kevin Kolcheck, Zheyuan Wang, Haiyan Xu and Jiang Yu Zheng (USA)
Visual Counting of Traffic Flow from A Car via Vehicle Detection and Motion Analysis
Two SkyJumps were also be auctioned at the conference.
Publication of Proceedings
All accepted papers personally presented by one of the authors will be published in Springer's Lecture Notes in Computer Science
(LNCS) for the main conference, and Springer's Communications in Computer and Information Science
(CCIS) for the workshops. LNCS and CCIS are indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Engineering Index, Google Scholar, DBLP, etc. ACPR 2019 is endorsed by the International Association for Pattern Recognition (IAPR).
Local Auckland Partners
Conference preparation is kindly supported by Auckland Tourism, Events and Economic Development Ltd
. We also appreciate special accommodation offers by AUT’s Wellesley Apartments
Centre for Robotics and Vision (CeRV)
Auckland University of Technology
International Society for Artificial Intelligence and Robotics
Auckland Tourism, Events, and Economic Development (ATEED)
AJ Hackett Bungy NZ
Best Paper Award Sponsor
N3T - New Zealand's Transport Technology Testbed
For sponsorship queries, please contact [email protected]