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Join us at ACPR 2025 — the leading international conference in pattern recognition and machine intelligence. Held on the Gold Coast, this event offers a vibrant setting for innovation, learning, and global collaboration.
ACPR is a biennial event supported by the International Association of Pattern Recognition (IAPR). It brings together researchers, students, and industry professionals from around the world to share cutting-edge developments in pattern recognition and related fields. The conference features a four-day single-track program, including the main conference, tutorials, and workshops, designed to foster deep engagement and meaningful exchange of ideas.
The scope of ACPR covers a wide range of topics in pattern recognition, including but not limited to:
- Pattern Recognition and Machine Learning
- Computer Vision and Robot Vision
- Signal, Speech, and Video Processing
- Document and Media Processing and Interaction
- Biomedical Imaging and Bioinformatics
ACPR 2025 provides a unique opportunity for participants to present their research, explore emerging technologies, and build lasting collaborations. Whether you're an academic, a student, or an industry researcher, ACPR offers a welcoming and intellectually stimulating environment that nurtures innovation and advances the field of intelligent systems.
Visit the website to learn more about ACPR2025 in collaboration with Southern Cross University.
ACPR 2025 — Program Schedule
| Time | Event |
|---|---|
| 8:00-9:00 | Registration |
| 9:00-10:30 | Tutorial 2 |
| 10:30-11:00 | Tea Break |
| 11:00-12:30 | Tutorial 2 |
| 12:30-13:30 | Lunch |
| 13:30-15:00 | Tutorial 3 |
| 15:00-15:30 | Tea Break |
| 15:30-17:00 | Tutorial 4 |
| Time | Event |
|---|---|
| 8:00-9:00 | Registration |
| 9:00-9:20 | Introductory Program |
| 9:20-10:20 | Keynote 1 |
| 10:20-10:50 | Tea Break |
| 10:50-12:30 | Oral Session 1 (5 papers) |
| 12:30-13:30 | Lunch |
| 13:30-15:10 | Oral Session 2 (5 papers) |
| 15:10-15:40 | Tea Break |
| 15:40-17:00 | Oral Session 3 (4 papers) |
| Time | Event |
|---|---|
| 9:00-10:00 | Keynote 2 |
| 10:00-10:30 | Tea Break |
| 10:30-12:30 | Oral Session 4 (6 papers) |
| 12:30-13:30 | Lunch |
| 13:30-14:50 | Oral Session 5 (4 papers) |
| 14:50-15:20 | Tea Break |
| 15:20-17:00 | Poster Session (25 papers) |
| 17:00--- | Gala Dinner |
| Time | Event |
|---|---|
| 9:00-10:00 | Keynote 3 |
| 10:00-10:30 | Tea Break |
| 10:30-12:30 | Oral Session 6 (6 papers) |
| 12:30-13:30 | Lunch |
| 13:30-15:10 | Oral Session 7 (5 papers) |
| 15:10-15:40 | Tea Break |
| 15:40-16:00 | Closing Ceremony |
Keynote Speakers
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Professor Alison Noble
Oxford University, England
Professor Alison Noble FRS is currently the Oxford University Technikos Professor of Biomedical Engineering. Her academic research interests are at the inter-disciplinary interface of artificial intelligence (computer vision) and healthcare with her group internationally recognized for its work on ultrasound AI. She has worked with clinical partners in the UK, India, and Kenya on translational AI-based imaging science. Some of her academic work has been successfully commercialised via a spinout and is used in clinics worldwide. Alison currently leads a major programme on human-AI collaboration in healthcare imaging supported by a UKRI Turing AI World-Leading Researcher Fellowship which is, as well, looking at how federated imaging analysis can enable international science partnerships, and socio-technical challenges of integrating AI into healthcare settings. Alison is a former President of the MICCAI Society. She is a Fellow of the Royal Society and Royal Academy of Engineering and a current Vice President and a Foreign Secretary of the Royal Society. Alison received a CBE for services to engineering and biomedical imaging in the 2023 King’s Birthday Honours List.
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Professor Shijian Lu
Nanyang Technological University, Singapore
Prof Lu is an Associate Professor from the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his PhD from the Electrical and Computer Engineering Department of the National University of Singapore. His research interests include computer vision and deep learning. He has published more than 200 internationally refereed journal and conference papers and co-authored over 10 patents. Before joining in NTU, he took several leadership roles in the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*SATR), Singapore, including Head of Visual Attention Lab, Co-Chair of the Image and Pervasive Access Laboratory (IPAL), etc. Prof Lu is currently serving as an Associate Editor for the journals Pattern Recognition and Neurocomputing. He has also served in the program committee of several international conferences such as the Senior Program Committee of the IJCAI and AAAI, the Area Chair of CVPR, ACCV, etc.
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Distinguished Professor Chin-Teng Lin
University of Technology Sydney, Australia
Chin-Teng Lin received the B.S. degree from the National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, West Lafayette, Indiana, U.S.A. in 1989 and 1992, respectively. He is currently a Distinguished Professor, Director of UTS Human-centric AI Center, Co-Director of Australian AI Institute, and Director of CIBCI Lab, FEIT, UTS. He is also invited as the International Faculty of the University of California at San Diego (UCSD) from 2012 to 2020 and Honorary Professorship of University of Nottingham from 2014 to 2021. Prof. Lin’s research focuses on machine-intelligent systems and brain computer interface, including algorithm development and system design. He has published over 460 journal papers (H-Index 99 based on Google Scholar) and is the co-author of Neural Fuzzy Systems (Prentice-Hall) and author of Neural Fuzzy Control Systems with Structure and Parameter Learning (World Scientific). Dr. Lin served as Editor-in-Chief of IEEE Transactions on Fuzzy Systems from 2011 to 2016 and has served on the Board of Governors of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society, and IEEE Computational Intelligence Society. He is the Chair of the 2022-2023 CIS Awards Committee. Dr. Lin is an IEEE Fellow and received the IEEE Fuzzy Pioneer Award in 2017. He received the UTS Chancellor’s Medal of Research Excellence in 2015.