General information


Overall Program and Call for Demo Presentations are now available. (2020-1-21)

Online registration is now available. (2020-1-20)

Details of invited talks can be found here. (2020-1-20)

Paper updating is closed. (2020-1-10)

Important dates

Paper Submission Deadline: Dec. 11, 2019. Jan. 10, 2020. (closed)
Notification of Acceptance: Jan. 10, 2020 Jan. 24, 2020.
Camera-ready Paper Submission Deadline: Jan. 19, 2020. Jan. 31, 2020.
Early Online Registration Deadline: Feb. 2, 2020. Feb. 10, 2020.
Conference Date: Feb. 20-22, 2020.

Call for Papers

PDF Version

The International Workshop on Frontiers of Computer Vision (IW-FCV) is the exciting chance and place for inter-communication and discussion through many presentations of the advanced researches from the worldwide research communities of computer vision theory, applications, deep learning and big data.

IW-FCV 2020 will be held in Ibusuki, Kagoshima. Ibusuki City is located at the southernmost tip of the Satsuma Peninsula, the mouth of Kagoshima Bay in Kyushu island. Ibusuki is well known as a city with abundant hot springs, such as the "Natural Sand Hot Spring" that is unparalleled in the world, full of culture, art and history, and welcomes you with warm, friendly hospitality and delicious food. In addition, we have prepared various sessions and events so that everyone who attends can enjoy it with academic exchanges.


Topics of interest include all aspects of image processing, computer vision, machine vision, the fundamentals and applications including, but not limited to, the following areas:

Fundamentals and Theory: Image filtering, Enhancement, Restoration, Transformation, Stochastic vision, Stereo vision, Scale space analysis, Hough transform, Morphological processing, Image sequence analysis, Image processing architecture, Representation, Color and illumination analysis, Vision geometry, Coding, Error analysis

Computer Vision and Image Analysis: Shape-from-X, Active vision, Image/Scene segmentation, Object detection and tracking, Visual language and description, Deep Learning-based Vision, Machine & semantic learning for computer vision, Integration of deep learning and conventional method, Performance evaluation and dataset

Applications: Image/Video search and retrieval, Video surveillance, AR/VR/MR/HR, Smart factory, Smart healthcare, Intelligent transportation system, Bio-medical image analysis, Smart agriculture, Smart home, Logistics and distribution, Autonomous land vehicle, Intelligent robot


The following awards are planned:
Best paper award / Best student paper award / Best poster presentation award / Best demo presentation award.


IW-FCV2020 will have the following sessions.

a) Oral session :

  • 15 minutes (12 minutes presentation and 3 minutes Q&A) presentation in an oral session
  • paper type: full / short

b) Poster session :

  • 1.5 hours presentation in a poster session
  • paper type: full / short

c) Extended summary session :

  • 7 minutes (5 minutes presentation and 2 minutes Q&A) presentation for the introduction of on-going projects in an oral session
  • paper type: short

Post-workshop proceedings

The organizing committee publishs the post-workshop proceedings of IW-FCV2020 as a Springer Communications in Computer and Information Science (CCIS) series after the workshop. The post-workshop proceedigns will include only high quality papers selected by reviewers.

The conditions under which a paper is subject to peer review for inclusion in the post-workshop proceedings are as follows:
1.The paper must be a full paper (12-15+ pages) which contains original research that has neither been published nor submitted for publication elsewhere.
2.When submitting a paper, the authors indicates his/her intension to include the paper in the post-workshop proceedings.

In addition, in order for a paper to be included in the post-workshop proceedings, it must:.
3. be presented at the workshop by at least one author.
4. When submitting the camera-ready version, the authors complete and sign a Consent-to-Publish form to transfer the copyright for the paper to publisher.

The post-workshop proceedings will be included in Springer Link Digital Library. And workshop attendees have free access for four weeks after the post-workshop proceedings are published.

Authors should consult Springer's authors' guidelines and use their proceedings templates for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. Please kindly refer to the editorial policies webpage and note the importance of this.

Paper Submission Instructions

Paper format

Submitting papers should be formatted with the following paper templates (Springer Computer Sicience Proceedings format): - formatting templates for MS-Word and LaTeX, as well as the link to Overleaf, are available on the Springer webpage: Link

Paper type

IW-FCV2020 accepts the following two paper types.

- full paper : 12-15+ pages
- short paper : 1-8+ pages

Paper submission site

Paper submission is handled via EasyChair : Link

Call for Demo Presentations

IW-FCV 2020 welcomes submissions for DEMO presentations.

Your demo presentations will be shown in the workshop program (Web, and booklet) and be presented in the same room as the poster presentations.

A workshop paper is NOT mandatory for the demo presentation, but you can submit an article to appear in the workshop proceedings (USB stick).
The demo papers will not appear in the post-workshop proceedings.

For submitting the demo presentation, please send the program chair ( an e-mail containing the following items.

  • title of demo presentation:
  • presenter list (names, affiliations):
  • facilities you need for your demo presentation (number of tables and electric outlets you need):
  • paper (in Springer format) (if you intend to include it in the USB proceedings.)

  • The due date of demo submission is Jan. 31, 2020.

    We can provide a board for posters, one or two tables, and a power supply.
    Please note the type of electric outlet is Japanese (Type-A).
    We can not provide any converter for the outlet type.


    Invited talks

      Prof. Changick Kim, KAIST (Korea)

    • Web site
    • Title - Domain adaptation and its application to object detection
    • During the last decade, the field of Computer vision has made huge progress. This progress is mostly due to the powerful effectiveness of Convolutional Neural Networks (CNNs). CNNs allow for very precise predictions if trained with high-quality annotated training data. In a classification setting for instance, you would often use one of the standard network architectures out there (ResNet, VGG etc.) and train it using your dataset. This would likely lead to very good performance. However, supervised learning-based methods perform poorly when the train data and the test data have different distributions. To address the issue, domain adaptation transfers knowledge from the label-sufficient domain (source domain) to the label-scarce domain (target domain). In this talk, I will address the basic concepts of transfer learning and domain adaptation, and talk about multiple approaches to domain adaptation. In addition, recent domain adaptation algorithms applied to object detection will be explained. This talk will conclude with arguments that there is still a lot to be done before domain-adaptive learning systems become practical tools.

      Dr. Yoshitaka Ushiku, OMRON SINIC X Corporation (Japan)

    • Web site
    • Title - Deep Learning for Natural Language Processing and Computer Vision
    • In 2012, computer vision (CV) was benefited from deep learning, resulting in dramatic improvements in image recognition performance. Nowadays, various applications, including detection, segmentation, and 3D vision, are widely studied utilizing state-of-the-art learning methods. In addition to the applications of machine learning (ML), CV area has also been a testbed for fundamental ML technologies, such as convolutional neural networks and transfer learning. Unsupervised domain adaptation (UDA) is a task to transfer knowledge obtained from a source domain to another target domain. The difficulty is that the target samples are not associated with teaching labels, while all data in the source domain are labeled. In the former part of this talk, I will introduce such cutting-edge tasks in CV and ML.

      Besides, with the development of recent machine learning techniques and the commoditization of them, the barriers to import the latest technologies from other areas are dramatically narrowed. Visual captioning, which is a task to generate fluent captions to describe the input multimedia datum, is proposed as such integration of ideas from different fields, namely CV and natural language processing (NLP). Caption generation and its variational problems are energetically addressed from both CV and NLP researchers. Thus, vision and language, which is an intersection area of CV and NLP, is spreading widely. It also includes visual question answering, a task to answer questions with a related photo that visually tells the correct answer. Another task that attracts attention from CV, NLP, and even ML researchers is visual dialog, which is a task that agents attempt to talk to each other concerning visual information. For example, salesclerks use the visual information of their merchandise to sell them to customers. In the latter part of this talk, I will introduce some challenging tasks in CV and some additional topics in vision and language.

      Prof. Md Atiqur Rahman Ahad, University of Dhaka (Bangladesh)

    • Web site
    • Title - Activity & Gait Recognition: Applications in Healthcare & Challenges Ahead
    • Human activity recognitions in both video and sensor domains are very important for different applications. Gait or walking pattern is an important biometric cue for human identification and verification. Understanding of activity or gait can be useful for various applications related to healthcare, elderly support, security, gender identification, etc. These are progressing and various challenges are ahead. There is huge progress recently on vision-based activity and gait analyses – because of the availability of GPUs and deep learning-based methods. Sensor-based gait recognition approaches are explored as well in different areas. However, the challenges are complex and diversified, and hence, the progresses in these domains are still constrained by several genuine challenges. In this speech, some of these scopes and challenges will be highlighted. The talk will highlight our recent competition, held in the IEEE 12th International Conference on Biometrics (ICB), 2019, where 18 teams registered from 14 countries. Finally, 67 solutions were submitted from 10 teams – for age and gender estimation. Occlusion and other challenges will be presented.


    Overall Program (tentative)
    Feb. 20, Thursday
    8:00 - Registration
    9:00 - 9:10 Opening
    9:10 - 10:00 Invited Talk 1:
    Dr. Yoshitaka Ushiku (OMRON SINIC X Corporation, Japan)
    10:00 - 10:15 Break
    10:15 - 11:55 Oral Session 1
    11:55 - 12:40 Lunch
    12:40 - 14:10 Poster / Demo Session 1
    (Coffee Break)
    14:10 - 15:10 Oral Session 2
    15:10 - 15:20 Break
    15:20 - 16:20 Oral Session 3
    Feb. 21, Friday
    8:00 - Registration
    9:00 - 9:50 Invited Talk 2:
    Prof. Md Atiqur Rahman Ahad (University of Dhaka, Bangladesh)
    9:50 - 10:05 Break
    10:05 - 11:50 Oral Session 4
    11:50 - 11:55 Group Photo
    11:55 - 12:40 Lunch
    12:40 - 14:10 Poster / Demo Session 2
    (Coffee Break)
    14:10 - 15:00 Invited Talk 3:
    Prof. Changick Kim (KAIST, Korea)
    15:00 - 15:10 Break
    15:10 - 16:25 Oral Session 5
    16:25 - 16:35 Closing
    18:30 - 20:30 Banquet and Awards @ Ibusuki Hakusuikan
    Feb. 22, Saturday
    9:00 - 16:30 Optional Technical Tour


    • General chairs

      Hiroshi Kawasaki (Kyushu University, Japan)
      Kanghyun Jo (University of Ulsan, Korea)

    • Program chairs

      Wataru Ohyama (Saitama Institute of Technology, Japan)
      Soon Ki Jung (Kyungpook National University, Korea)

    • Publicity chair

      Masashi Toda (Kumamoto University, Japan)

    • Local arrangement chairs

      Satoshi Ono (Kagoshima University, Japan),
      Noritaka Shigei (Kagoshima University, Japan)

    • Financial chair

      Tsubasa Minematsu (Kyushu University, Japan)

    • Web chair

      Takafumi Iwaguchi (Kyushu University, Japan)



    Online registration is now available. Please visit the following link and follow the instruction.
    Registration form

    Registration Fee
    Early-bird registration
    (- Jan.31)
    Late registration
    (Feb. 1-10)
    On-site registration
    (Feb. 20-21)
    Standard 32,000 JPY 36,000 JPY 40,000 JPY
    Student 16,000 JPY 18,000 JPY 20,000 JPY


    Fureai Plaza Nanohanakan
    9300-1 Higashikata, Ibusuki , Kagoshima 891-0404, Japan.