(ICCV 2022) IEEE International Conference on Computer Vision

Signal ProcessingImage Processingdata mining & big data

Conference Date

Sep 22-Sep 23, 2022

Place

Vancouver, Canada

Submission Deadline

Jun 15, 2022

E-mail

Telephone

Description

ICCV 2022: 16. International Conference on Computer Vision
September 22-23, 2022 in Vancouver, Canada


The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

International Conference on Computer Vision aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computer Vision. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Vision.
Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computer Vision are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
Guidelines for Authors

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission Guideline, Abstract Submission Guideline and Author Information before submitting your paper.
Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.
Special Journal Issues

16. International Conference on Computer Vision has teamed up with the Special Journal Issue on Computer Vision. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.
Application Forms

Paper Submission
Author Registration
Listener Registration
Sponsorship and Exhibition
Volunteerism

Selected Papers

Development of Nondestructive Imaging Analysis Method Using Muonic X-Ray with a Double-Sided Silicon Strip Detector
I-Huan Chiu, Kazuhiko Ninomiya, Shin’ichiro Takeda, Meito Kajino, Miho Katsuragawa, Shunsaku Nagasawa, Atsushi Shinohara, Tadayuki Takahashi, Ryota Tomaru, Shin Watanabe, Goro Yabu
Wildfires Assessed by Remote Sense Images and Burned Land Monitoring
M. C. Proença
Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
A Convolutional Deep Neural Network Approach for Skin Cancer Detection Using Skin Lesion Images
Firas Gerges, Frank Y. Shih
Near-Infrared Hyperspectral Imaging Spectroscopy to Detect Microplastics and Pieces of Plastic in Almond Flour
H. Apaza, L. Chévez, H. Loro
Laser Ultrasonic Imaging Based on Synthetic Aperture Focusing Technique Algorithm
Sundara Subramanian Karuppasamy, Che Hua Yang
Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
The Role of Synthetic Data in Aerial Object Detection
Ava Dodd, Jonathan Adams
An Image Processing Based Approach for Assessing Wheelchair Cushions
B. Farahani, R. Fadil, A. Aboonabi, B. Hoffmann, J. Loscheider, K. Tavakolian, S. Arzanpour
Assessing the Theoretical Suitability of Sentinel-2 and WorldView-3 Data for Hydrocarbon Mapping of Spill Events, Using HYSS
K. Tunde Olagunju, C. Scott Allen, F.D. (Freek) van der Meer
Effect of Changing Iron Content and Excitation Frequency on Magnetic Particle Imaging Signal: A Comparative Study of Synomag® Nanoparticles
Kalthoum Riahi, Max T. Rietberg, Javier Perez y Perez, Corné Dijkstra, Bennie ten Haken, Lejla Alic
Predicting Shot Making in Basketball Learnt from Adversarial Multiagent Trajectories
Mark Harmon, Abdolghani Ebrahimi, Patrick Lucey, Diego Klabjan
Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting
A Decision Tree Approach to Estimate Permanent Residents Using Remote Sensing Data in Lebanese Municipalities
K. Allaw, J. Adjizian Gerard, M. Chehayeb, A. Raad, W. Fahs, A. Badran, A. Fakherdin, H. Madi, N. Badaro Saliba