International Symposium on
Geometry and Vision (ISGV 2021)

A hybrid event - 28-29 January 2021, Auckland, New Zealand


Springer Proceedings: https://www.springer.com/gp/book/9783030720728
Download at: https://link.springer.com/book/10.1007%2F978-3-030-72073-5
Recordings: (Recorded day 1), (Recorded day 2)

ISGV 2021 will be a hybrid event, that offers a mix of face-to-face and virtual experiences simultaneously.

About The Event

The International Symposium on Geometry and Vision (ISGV 2021) will take place on 28-29 January 2021 at Auckland, New Zealand.

ISVG 2021 is an international conference on geometry and vision that brings together academics and researchers working in the areas of digital geometry, graphics, image and video technologies, computer vision, and multimedia technologies. If a submission fits into this wide range of areas, then please contact an area chair closest to the topic of this submission. In general, we would like to invite submissions aiming either at highlighting relationships between adjacent topics within the listed areas or contributing to the solution of a particular topic within one area which is of fairly general interest.

All accepted papers will be published in Springer's Communications in Computer and Information Science (CCIS). Selected ISGV2021 papers (with 30% additional content) will be published as a special issue of the journal: Springer Nature Computer Science, under the title: "From Geometry to Vision: The Methods for Solving Visual Problems".

This conference uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process.

ISVG 2021 is brought to you by the Centre of Robotics & Vision (CeRV), Auckland University of Technology (AUT), in collaboration with the University of Auckland. The best paper of this international symposium will be awarded as the Reinhard Klette Award to memorialize Professor Reinhard Klette, the founding Director of CeRV center.

Professor Reinhard Klette (1950-2020) was a Fellow of the Royal Society of New Zealand (RSNZ), a Helmholtz International Fellow (Germany), a Friendship Ambassador of Shandong province (Shandong China), a winner of Quancheng Friendship Award (Jinan China).

Topics covered:

In the context of the listed areas, the submissions may address the basics or applications under a geometric viewpoint in:

  • Computer Vision or Robot Vision
  • Pattern Recognition and Machine Learning
  • Signal Processing
  • Multimedia Processing and Interaction
  • Medical Image Processing
  • Stereovision
  • HCI, AR and VR
  • Autonomous Vehicles
  • Others

Where and When

  • AUT City Campus, Auckland, New Zealand
  • 28-29 January 2021

Important Dates

Publication of Proceedings

  • All accepted papers must be personally presented by one of the co-authors.
  • All accepted papers will be published in Springer's Communications in Computer and Information Science (CCIS). CCIS is indexed by various A and I services, e.g., Citation Index, Scopus, EI Engineering Index, Google Scholar, DBLP, and so forth.
  • For general information on the Communications in Computer and Information Science series please check the CCIS series Webpage at http://www.springer.com/series/7899.
  • Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
  • Please read the "Volume editor instructions" and "Author instructions" for more information.

General Chairs:

  • Wei Qi Yan (Auckland University of Technology, New Zealand)
  • Harvey Ho (University of Auckland, New Zealand)

Program Chairs:

  • Minh Nguyen (Auckland University of Technology, New Zealand)
  • Zhixun Su (Dalian University of Technology, China)

Organization Chair:

  • Robert Yang (Auckland University of Technology, New Zealand)
  • Gisela Klette (Auckland University of Technology, New Zealand)
  • Yanqiang Li (SDAS, Shandong China)

Areas and Area Chairs:

  • Deep Learning and Multimedia Technology
    • Wei Qi Yan (AUT, New Zealand, wyan@aut.ac.nz)
  • Deep Vision and Applications
    • Mariano J. Rivera Meraz (Centro de Investigación en Matemáticas AC Guanajuato, Mexico, mrivera@cimat.mx)
  • Discrete Geometry
    • Atsushi Imiya (Chiba University, Japan, imiya@faculty.chiba-u.jp)
  • Face Recognition and Low-Quality Images
    • Domingo Mery (Universidad Catolica de Chile, Santiago, Chile)
  • Kinect Camera and Pattern Analysis
    • Nicolai Petkov (University of Groningen, the Netherland, n.petkov@rug.nl)
  • Medical Image Analysis
    • Harvey Ho (University of Auckland, New Zealand, harvey.ho@auckland.ac.nz)
  • Media Security, Privacy, and Forensics
    • Jiande Sun (Shandong Normal University, jiandesun@sdnu.edu.cn)
  • Numerical Computation and Photometric Images
    • Ryszard Kozera (Warsaw University, Poland, ryszard.kozera@gmail.com)
  • Optical Sensors
    • Ralf Reulke (Humboldt University Berlin, Germany, ralf.reulke@hu-berlin.de)
  • Panoramic Vision
    • Fay Huang (Ilan University, Taiwan, fay@niu.edu.tw)
  • Path Planning for Autonomous Vehicles
    • Yanqiang Li (SDAS, China, liyq@sdas.org)
  • Robotics
    • Loulin Huang (AUT, New Zealand, loulin.huang@aut.ac.nz)
  • Segmentation and Graphical Models
    • Xiaoyi Jiang (University of Münster, Germany, xjiang@uni-muenster.de)
  • Sensor Information Systems
    • Anko Boerner (German Aerospace Center, Germany, Anko.Boerner@dlr.de)
  • Soft Robots
    • Martin Stommel (AUT, New Zealand, mstommel@aut.ac.nz)
  • Stereovision
    • Hsiang-Jen Chien (Auckland Transport, New Zealand, johnny.chien@at.govt.nz)
  • Traffic and Transport
    • Derek Zhang (Auckland Transport, New Zealand, derek.zhang@at.govt.nz)
  • Visual Geometry for Tracking
    • Zhixun Su (Dalian University of Technology, China, zxsu@dlut.edu.cn)
  • Visual Geometry for Safe Driving
    • Akihiro Sugimoto (National Institute of Informatics, Japan, sugimoto@nii.ac.jp)
  • Augmented and Virtual Reality (AR/VR)
    • Minh Nguyen (AUT, New Zealand, mnguyen@aut.ac.nz)

Event KEYNOTE Speakers

Here are the list of our three keynote speakers

Thursday, 28 January 2021 9:00 am-10:00 am

Speaker 3

Professor Nikola Kasabov (Fellow IEEE, Fellow RSNZ, Fellow INNS College of Fellows)

Professor at SECMS and Founding Director KEDRI, Auckland University of Technology, Auckland, New Zealand

  • Title: Brain-Inspired Spiking Neural Network Architectures for Computer Vision
  • Speech Time: Thursday, 28 January 2021 9:00 am-10:00 am
  • Abstract: The talk argues and demonstrates that the third generation of artificial neural networks, the spiking neural networks (SNN), can be used to design brain-inspired architectures for computer vision. Similarly to how the brain learns, these SNN models do not need to be restricted in number of layers, neurons in each layer, etc. as they adopt self-organising learning principles of the brain. The presented approach is illustrated on an exemplar brain-inspired SNN architecture NeuCube (free software and open source available from www.kedri.aut.ac.nz/neucube). Case studies are presented of moving object recognition, facial emotion recognition, face aging recognition, person verification. As NeuCube is designed to follow a brain template, knowledge transfer between humans and machines becomes possible through the creation of brain-inspired Brain-Computer Interfaces (BI-BCI). This opens the way to build a new type of AI systems – the open and transparent AI. More details can be found in: N.Kasabov, Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence, Springer, 2019, https://www.springer.com/gp/book/9783662577134
  • Short Bio: Professor Nikola Kasabov is Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He is the Founding Director of KEDRI and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology. Kasabov is a Past President of the Asia Pacific Neural Network Society (APNNS) and the International Neural Network Society (INNS). He is member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, Springer Series of Bio-and Neurosystems and Editor-in-Chief of the Springer journal Evolving Systems. He is Associate Editor of several international journals. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 650 publications. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: George Moore Chair in Data Analytics at the University of Ulster; Professor at the University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University, Visiting Professor at ETH/University of Zurich and Robert Gordon University UK, Honorary Professor at the University of Auckland. Prof. Kasabov has received a number of awards, among them: Doctor Honoris Causa from Obuda University, Budapest; INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award for 2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorable Member of the Bulgarian, the Greek and the Scottish Societies for Computer Science. More information of Prof. Kasabov can be found on the web site: https://academics.aut.ac.nz/nkasabov.

Thursday, 28 January 2021 2:00 pm-3:00 pm

Speaker 1

Professor Richard Green (IEEE)

Professor of Computer Science, Department of Computer Science and Software Engineering, College of Engineering, University of Canterbury, New Zealand

  • Title: Computer Vision in Precision Agriculture and Precision Aquaculture
  • Speech Time: Thursday, 28 January 2021 2:00 pm-3:00 pm
  • Abstract: Recent advances in computer vision/deep learning, sensors and processing power/cost has enabled fully autonomous robots and drones to reliably perform tasks. But accurately doing so outdoors is a fascinating and exiting research endeavour – which is also seriously challenging, with capability still so short of human cognitive capability. I will describe some UC contributions across these research areas, including recent computer vision/deep learning research into drones pruning forests, robots pruning vineyards, general purpose farm robots, autonomous underwater vehicles (AUVs) inspecting mussel lines, AUVs scanning ship hulls and wharf pylons to detect invasive biofouling species and AUVs mapping the seabed to locate scallops. Labour shortages and quality/accuracy/safety are the biggest drivers for so many of these precision agriculture/aquaculture applications - but based on recent accelerated computer vision capability, how long until all such repetitive human manual labour tasks can be automated?
  • Short Bio: Since 2004 Professor Richard Green has been lecturing in computer science at the University of Canterbury after running his own successful 50 staff software company in Sydney (sold to a multinational). With over 200 refereed publications, Richard heads the Computer Vision Research Lab with an emphasis on autonomous robot vision/deep learning (robots/drones/underwater robots) and analysing human movement. He has led successful MBIE projects, including an autonomous robot-vine-pruner project and an autonomous forest-pruning-drone project. Richard also leads RAs in SfTI Adaptive Learning Robots), SfTI Precision Aquaculture, MBIE UOAX1810 MaaraTech (agritech robotics) and MBIE Singapore-NZ Bridging the Gap Between Remote Sensing and Tree Modelling with Data Science. UC is now a world leader in this autonomous software research, with a large AI Robotics (UC AIR) research group.

Friday, 29 January 2021 9:00 am-10:00 am

Speaker 1

Professor Dacheng Tao (ARC Laureate Fellow, FACM, FIEEE, FAA)

Professor of Computer Science, School of Computer Science, The University of Sydney, Australia

  • Title: Towards Trustworthy Deep Learning
  • Speech Time: Friday, 29 January 2021 9:00 am-10:00 am
  • Abstract: We are fortunate on the edge to embrace the revolutionary progress of Artificial Intelligence (AI) and to witness the enthusiasm of translational AI deployments sweeping across all sectors in our life and work. The almost simultaneous rise of transformational deep learning, big data, and powerful computational machines since 2010 is progressively enabling AI systems to perceive, learn, reason, and behave like a human, and makes the next generation of AI systems distinct from those developed in the past. Thus, it is critical to better understand why deep learning is capable and has the capacity to raise the third wave of AI. In this talk, we will present our investigations, initiatives, and insights to the interpretation of the successful deep learning.
  • Short Bio: Dacheng Tao is currently Advisor and Chief Scientist of the Digital Science Institute at The University of Sydney. He mainly applies statistics and mathematics to artificial intelligence and data science. His research is detailed in one monograph and over 200 publications in prestigious journals and proceedings at prominent conferences such as IEEE TPAMI, TIP, TNNLS, IJCV, JMLR, NIPS, ICML, CVPR, ICCV, ECCV, AAAI, IJCAI, ICDM and ACM SIGKDD, with several best paper awards, such as the Best Theory/Algorithm Paper Runner Up Award at IEEE ICDM’07, the Distinguished Paper Award at 2018 IJCAI, the 2014 ICDM 10-year Highest-Impact Paper Award, and the 2017 IEEE Signal Processing Society Best Paper Award. He received the 2015 Australian Scopus-Eureka Prize, the 2018 IEEE ICDM Research Contributions Award, and the 2020 Eureka Prize of Excellence in Data Science. He is a fellow of the Australian Academy of Science, AAAS, ACM and IEEE.

Event Schedule

Thursday 28 Jan and Friday 29 Jan 2021, the program of ISGV 2021 will be single track (all listed times are UTC+12:00 NZ time)..

Join Live Zoom Meeting
https://aut.zoom.us/j/93894538987?pwd=TExCSWpIUkJ4bDRmNlFwdmtlYlpRZz09

Meeting ID: 938 9453 8987
Passcode: 177655

Registration

Registration desk opens at WG306/WG308

Brenden Legros

Keynote: Professor Nikola Kasabov (Fellow IEEE, Fellow RSNZ, Fellow INNS College of Fellows), AUT, New Zealand

Topic: Brain-Inspired Spiking Neural Network Architectures for Computer Vision

Morning tea break

Tea, Coffee and Refreshments

Session 1 (paper presentation)

  • Paper ID #12: A Hand-Held Sensor System for Exploration and Thermal Mapping of Volcanic Fumarole Fields (Recorded presentation)
  • Paper ID #06: Traffic-Sign Recognition Using Deep Learning (Recorded presentation)
  • Paper ID #33: A Comparison of Approaches for Synchronizing Events in Video Streams Using Audio (Recorded presentation)
  • Paper ID #21: Close Euclidean Shortest Path Crossing an Ordered 3D Skew Segment Sequence (Recorded presentation)
  • Paper ID #34: Union-Retire: A New Paradigm for Single-Pass Connected Component Analysis
  • Paper ID #31: Tracking Livestock using a Fully Connected Network and Kalman Filter (Recorded presentation)
  • Paper ID #30: Electric scooter and its rider detection framework based on deep learning for supporting scooter-related injury emergency services (Recorded presentation)
  • Paper ID #03: A New Noise Generating Method Based on Gaussian Sampling for Privacy Preservation (Recorded presentation)

Lunch break

Buffet lunch, Tea, Coffee and Refreshments

Brenden Legros

Keynote: Professor Richard Green (IEEE), University of Canterbury, New Zealand

Topic: Computer Vision in Precision Agriculture and Precision Aquaculture (Recorded presentation)

Afternoon tea break

Tea, Coffee and Refreshments

Session 2 (paper presentation)

  • Paper ID #37: Comparison of Red versus Blue Laser Light for Accurate 3D Measurement of Highly Specular Surfaces in Ambient Lighting Conditions (Recorded presentation)
  • Paper ID #15: Sign Language Recognition from Digital Videos Using Deep Learning Methods (Recorded presentation)
  • Paper ID #44: A Graph-regularized Non-local Hyperspectral Image Denoising Method (Recorded presentation)
  • Paper ID #46: MamboNet: Adversarial Semantic Segmentation for Autonomous Driving
  • Paper ID #48: D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation (Recorded presentation)
  • Paper ID #29: Discrete Linear Geometry on Non-Square Grid (Recorded presentation)
  • Paper ID #47: Effective Pavement Crack Delineation using a Cascaded Dilation Module and Fully Convolutional Networks (Recorded presentation)

Conference Banquet

Hot buffet dinner, with special guests (Professor Reinhard's family, AUT International Director, AUT's HOS, HODs, directors of research centres, etc.)

(ISGV_Dinner_Program_Slides) (N3T-Prize-Open-Innovation-Competition) (N3T-N-Prize-promotion-280121 VIDEO)

Announcement of conference best papers, and next ISGV location:

  1. Best Vision paper: Wooden trophy, certificate, monetary prize (and trip to Northland - optional)
  2. Best Geometry paper: Wooden trophy, certificate, monetary prize (and trip to Northland - optional)
  3. Best Machine Learning paper: Wooden trophy, certificate, monetary prize (and trip to Northland - optional)

Registration

Registration desk opens at WG306/WG308

Brenden Legros

Keynote: Professor Dacheng Tao (ARC Laureate Fellow, FACM, FIEEE, FAA), The University of Sydney, Australia

Topic: Towards Trustworthy Deep Learning (Recorded presentation)

Morning tea break

Tea, Coffee and Refreshments

Session 3 (paper presentation)

  • Paper ID #17: New Zealand Shellfish Detection, Recognition and Counting: a Deep Learning Approach on Mobile Devices (Recorded presentation)
  • Paper ID #14: Towards a generic Bicubic Hermite mesh template for cow udders (Recorded presentation)
  • Paper ID #36: Improving Object Detection in Real-world Traffic Scenes
  • Paper ID #08: Tree Leaf Detection Based on Deep Learning (Recorded presentation)
  • Paper ID #09: Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images using Modified and Improved Encoder-Decoder Architecture (Recorded presentation)
  • Paper ID #10: Apple Ripeness Identification Using Deep Learning Models (Recorded presentation)
  • Paper ID #13: Traffic Sign Recognition Using Guided Image Filtering (Recorded presentation)
  • Paper ID #41: Fruit Detection from Digital Images Using CenterNet (Recorded presentation)

Lunch break

Buffet lunch, Tea, Coffee and Refreshments

Session 4 (paper presentation)

  • Paper ID #19: Coverless Video Steganography Based on Inter Frame Combination (Recorded presentation)
  • Paper ID #20: Character Photo Selection for Mobile Platform (Recorded presentation)
  • Paper ID #24: Segment- and Arc-based Vectorizations by Multi-scale/Irregular Tangential Covering (Recorded presentation)
  • Paper ID #45: Random convolutional network for hyperspectral image classification (Recorded presentation)
  • Paper ID #23: A lane line detection algorithm based on convolutional neural network
  • Paper ID #25: Algorithms for Computing Topological Invariants in Digital Spaces (Recorded presentation)

Conference Wrap-ups and Survival party

With Pizza, drinks, and musics.

(*) to all attendees who are physically coming to the conference venue,
please read the below safety protocols for events that are held during Alert Level 1.

Event Venue

Event venue location info and gallery

AUT City Campus, WA Building, WA Conference Centre

AUT is the second largest university in New Zealand. We have been a university since 2000, but a place of learning for 120 years and operate in accordance with the Education Act (1989).

Sponsors

AUT - Electrical and Electronic Engineering department
Sponsor Amount: 1000.00 NZD

AUT - Computer Science
department
Sponsor Amount: 1000.00 NZD

AUT - Information Technology and Software Engineering department
Sponsor Amount: 1000.00 NZD

Centre for Artificial Intelligence Research (CAIR) @ AUT
Sponsor Amount: 500.00 NZD

Centre for Robotics and Vision (CeRV) @ AUT
Sponsor Amount: 500.00 NZD

N3T.KIWI
Sponsor Amount: 250.00 NZD

Program Committee



  1. Ahmed Al-Jumaily (AUT, New Zealand, ahmed.aljumaily@aut.ac.nz)
  2. Akihiro Sugimoto (National Institute of Informatics, Japan, sugimoto@nii.ac.jp)
  3. Akila Pemasiri (University of Moratuwa, Sri Lanka, akila.10@cse.mrt.ac.lk)
  4. Alfred M. Bruckstein (Ollendorff Technion Chair in Science, Israel, freddy@cs.technion.ac.il)
  5. Ali Reza Alaei (School of Business and Tourism (IT Programs), Australia, ali.Alaei@scu.edu.au)
  6. Amita Dhiman (Air New Zealand, New Zealand, amita.dhiman@aut.ac.nz)
  7. Andrew Gilman (PlantTech Research Institute Limited, New Zealand, andrew@pri.co.nz)
  8. Andrew Lowe (AUT, New Zealand, andrew.lowe@aut.ac.nz)
  9. Andy Nguyen(University of Oulu, Finland, andy.nguyen@oulu.fi)
  10. Anko Boerner (German Aerospace Center, Germany, Anko.Boerner@dlr.de)
  11. Anthony Griffin, (AUT, New Zealand, anthony.griffin@aut.ac.nz)
  12. Atsushi Imiya (Chiba University, Japan, imiya@faculty.chiba-u.jp)
  13. Brendon J. Woodford (Department of Information Science, University of Otago, brendon.woodford@otago.ac.nz)
  14. Chris Rapson (Auckland Transport, New Zealand, Chris.Rapson@at.govt.nz)
  15. Clinton Fookes (Queensland University of Technology, Australia, c.fookes@qut.edu.au)
  16. Cunjian Chen (Michigan State University, USA, cunjian@msu.edu)
  17. Daisuke Miyazaki (Hiroshima City University, Japan, miyazaki@hiroshima-cu.ac.jp)
  18. Daniel Lopresti (Department of Computer Science and Engineering, Lehigh University, USA, lopresti@cse.lehigh.edu)
  19. Derek Zhang (Auckland Transport, New Zealand, derek.zhang@at.govt.nz)
  20. Domingo Mery (Universidad Catolica de Chile, Santiago, Chile, domingo.mery@uc.cl)
  21. Du Huynh (The University of Western Australia, du.huynh@uwa.edu.au)
  22. Emerita Gunilla Borgefors (Uppsala University, Sweden, gunilla.borgefors@it.uu.se)
  23. Fatih Kurugollu (Department of Electronics, Computing and Mathematics, University of Derby, UK, f.kurugollu@derby.ac.uk)
  24. Fay Huang (Ilan University, Taiwan, fay@niu.edu.tw)
  25. George Azzopardi (Computer Science and Artificial Intelligence, University of Groningen, The Netherlands, g.azzopardi@rug.nl)
  26. Haokun Geng (University of Auckland, New Zealand, haokun.geng@gmail.com)
  27. Harvey Ho (University of Auckland, New Zealand, harvey.ho@auckland.ac.nz)
  28. Hongmou Zhang (German Aerospace Center - DLR, Hongmou.Zhang@dlr.de)
  29. Hsiang-Jen Chien (Auckland Transport, New Zealand, johnny.chien@at.govt.nz)
  30. Ikuhisa Mitsugami, Hiroshima City University, Japan, mitsugami@hiroshima-cu.ac.jp)
  31. Jean-Bernard Hayet (Centro de Investigación en Matemáticas, México, jbhayet@cimat.mx)
  32. Jiande Sun (Shandong Normal University, jiandesun@sdnu.edu.cn)
  33. Jules-Raymond Tapamo, University of KwaZulu-Natal, South Africa, Tapamoj@ukzn.ac.za)
  34. Kar-Ann Toh, Yonsei University, Seoul, Korea, katoh@yonsei.ac.kr)
  35. Kaushik Roy, West Bengal State University, Barasat, kaushik.mrg@gmail.com)
  36. Kazunori Okada (San Francisco State University, USA, kazokada@sfsu.edu)
  37. Kien Nguyen Thanh (Queensland University of Technology, Australia, k.nguyenthanh@qut.edu.au)
  38. Loulin Huang (AUT, New Zealand, loulin.huang@aut.ac.nz)
  39. Lucio Marcenaro (University of Genoa, Italy, lucio.marcenaro@unige.it)
  40. Mariano J. Rivera Meraz (Centro de Investigación en Matemáticas AC Guanajuato, Mexico, mrivera@cimat.mx)
  41. Mark Beckerleg (AUT, New Zealand, mark.beckerleg@aut.ac.nz)
  42. Mark Nixon (School of Electronics and Computer Science University of Southampton, UK, msn@ecs.soton.ac.uk)
  43. Martin Stommel (AUT, New Zealand, mstommel@aut.ac.nz)
  44. Michael Werman (School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel, michael.werman@mail.huji.ac.il)
  45. Minh Nguyen (AUT, New Zealand, mnguyen@aut.ac.nz)
  46. Mohammad Norouzifard (AUT, New Zealand, mohammad.norouzifard@aut.ac.nz)
  47. Nicola Strisciuglio (University of Twente,The Netherlands, n.strisciuglio@utwente.nl)
  48. Nicolai Petkov (University of Groningen, the Netherland, n.petkov@rug.nl)
  49. Noor Saleem ( Centre for Robotics & Vision, New Zealand, nalani@aut.ac.nz)
  50. Parma Nand (AUT, New Zealand, parma.nand@aut.ac.nz)
  51. Patrice Delmas (The Univesrity of Auckland, New Zealand, p.delmas@auckland.ac.nz)
  52. Ralf Reulke (Humboldt University Berlin, Germany, ralf.reulke@hu-berlin.de)
  53. Robert Le (AUT, New Zealand, robert01011991@gmail.com)
  54. Ryszard Kozera (Warsaw University, Poland, ryszard.kozera@gmail.com)
  55. Samaneh Madanian (AUT, New Zealand, sam.madanian@aut.ac.nz)
  56. Sandino Morales (Terrabotics Ltd., UK, sandinomorales@gmail.com)
  57. Syeda Fouzia (AUT, New Zealand, syeda.fouzia@aut.ac.nz)
  58. Shmuel Peleg (School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel, peleg@mail.huji.ac.il)
  59. Titas De (Senior Applied Scientist, Microsoft R & D India, titashde@gmail.com)
  60. Tom Moir (AUT, New Zealand, tom.moir@aut.ac.nz)
  61. Trevor Gee(The Univesrity of Auckland, New Zealand, tgee862@aucklanduni.ac.nz)
  62. Wannes van der Mark (The Univesrity of Auckland, New Zealand, w.vandermark@auckland.ac.nz)
  63. Wei Qi Yan (AUT, New Zealand, wyan@aut.ac.nz)
  64. Xiaoyi Jiang (University of Münster, Germany, xjiang@uni-muenster.de)
  65. Xinguo Yu (Central China Normal University, China, 2429346468@qq.com)
  66. Yanqiang Li (SDAS, China, liyq@sdas.org)
  67. Zahra Moayed (Computer Vision Specialist, Auckland Transport, New Zealand, zahra.moayed@aut.ac.nz)
  68. Zhixun Su (Dalian University of Technology, China, zxsu@dlut.edu.cn)

Submission

Proceedings templates, you can use either use LaTeX (click here to download, or use Overleaf Template) or Words (click here to download) for the preparation of the papers.

All papers accepted for publication (including references) are full papers (12 - 15 pages) and short papers (6 - 8 pages).

Springer encourages authors to include ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

This conference uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process.

Final Paper and Video Submission

Due to the conference's mixed physical/virtual attendance and unpredictable nature of COVID-19 this year, we require that all presenters submit a pre-recorded video of their presentation in case they are unable to present live.

Please submit your Final Paper and Presentation Video before the 25th of January 2021.

Copy right form and others can also be submitted on the same location.

Upload your video on to the allocated folder (under the paper id), it’s best to name your video file using the following convention: "PaperID_LastNameOfFirstAuthor.mp4". For example, for paper ID #15, the filename is "15_Singh.mp4".

Please ensure that your video is either MP4 or AVI format, limited to 1000MB file size.

The length of the video should be approx. 15 minutes, except for the keynote presentation, as if you were to do it live. For your video, you can record yourself speaking over your slideshow.

Once you have recorded and saved your video, please upload it using the following link:

Click here to submit your video file

Or you can email them to minh.nguyen@aut.ac.nz

Registration

Each participant in the conference must be registered and the registration fee paid. One regular registration covers the publication of a maximum of three papers in the conference proceedings (main conference or workshops). At least one author of each paper must be a regular or student registration. If two or more co-authors of the same paper(s) participate in the conference, they must all be registered and the registration fees paid. You do not have to be an author to attend. Below are the registration rates:

Early Bird (before 15th Jan 2021)

  • Standard Conference Registration - 500.00NZD (~290EUR)
  • Student Registration - 400.00NZD (~233EUR)
  • Online Registration - 200.00NZD (~116EUR)

Standard (after 16th Jan 2021)

  • Standard Conference Registration - 600.00NZD (~350EUR)
  • Student Registration - 450.00NZD (~265EUR)
  • Online Registration - 200.00NZD (~116EUR)

Click here to start the Registration Process

Contact Us

Minh Nguyen

Address

Auckland, New Zealand

Phone Number

+64 9 921 9999 ext 8214

Email

minh.nguyen@aut.ac.nz

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