1st workshop on Vision-based InduStrial InspectiON
@CVPR 2023, June 19th, Monday, Vancouver, Canada
8:30am-6:00pm Vancouver Time
Overview
Aims and Scope
The VISION workshop aims to provide a platform for the exchange of scholarly innovations and emerging practical challenges in Vision-based Industrial Inspection. Through a series of keynote talks, technical presentations, and data challenges, this workshop is intended to (i) bring together researchers from the interdisciplinary research communities related to computer vision-based inspection; (ii) connect researchers and industry practitioners to synergize recent research progress and current needs in industrial practice.
Guest Speakers (Topics TBD)
Dr. Bianca Maria Colosimo
Professor at Politecnico di Milano
Dr. Tzyy-Shuh Chang
Founder and President at OG Technologies
Dr. Jianjun Shi
Chair Professor at Georgia Institute of Technology
Dr. Leonid Sigal
Associate Professor at University of British Columbia
Program
Time | Topic | Speakers |
---|---|---|
AM 8:30 - 8:45 | Chair’s Opening Remarks | |
AM 8:45 - 9:15 | Invited Talk I | |
AM 9:15 - 9:45 | Invited Talk II | |
AM 9:45 - 10:00 | Coffee Break | |
AM 10:00 - 12:00 | Best Paper Announcement and Paper Presentation | |
PM 12:00 - 14:00 | Lunch Break and Poster Session | |
PM 14:00 - 14:30 | Invited Talk III | |
PM 14:30 - 15:00 | Invited Talk IV | |
PM 15:00 - 15:45 | Panel Discussion | |
PM 15:45 - 16:00 | Coffee Break | |
PM 16:00 - 18:00 | Data Competition Presentation |
Call for Papers
Submission Instructions
Authors have two options:
- Regular paper: max 8 pages (including figures and tables), appear in the CVPR workshops proceedings
- Extended Abstracts: 4 pages, will NOT appear in the proceedings
Topics of Interest
From an industry point of view:
- Opportunities for Development in vision-based inspection technology, new problem formulation, data formats, and potential applications
- Deployment Practices and Challenges of production vision-based inspection systems
- Open Source Datasets for vision-based inspection research
From an academic point of view:
- Unsupervised, Semi-supervised, and Supervised Anomaly Detection under data and annotation limitations
- Data Generation Techniques for small datasets and rare defect types
- Data-centric Tools and Methodologies for more suitable data collection procedures, higher data quality, and efficiency
- Robust, Explainable Machine Learning for high-stake applications
- Vision-based modeling, diagnosis, control, and quality improvement of the manufacturing system
Important Dates
For regular paper (CVPR proceedings):
March 19th (Extended) |
Paper Submission Deadline
|
April 3rd | Author Notification |
April 7th | Camera-ready |
For extended abstract:
May 7th (Extended) |
Paper Submission Deadline
|
April 15th – May 14th | Rolling Decisions |
Challenges
Awards
1st place
MacStudio
2nd place
iPhone 14 256G
3rd place
Apple Watch Series 8
Most Innovative awards
Apple iPad 10.9”
Participation
The detailed instructions for the data challenge and the dataset can be found via the submission links.
Track | Description | Make a Challenge Submission |
---|---|---|
Challenge 1 | Data-efficient Defect Detection | |
Challenge 2 | Data-generation for Defect Detection |
Important Dates
Jan 30th | Dataset Release and Registration Open |
April 1st | Registration Close |
May 1st | Result Submission Deadline |
May 7th | Technical Report Submission Deadline |
May 20th | Winners Announcement |
Organizers
Workshop Organizers
Haoping Bai
Apple
Gokberk Cinbis
Middle East Technical University
Meng Cao
Apple
Tatiana Likhomanenko
Apple
Shancong Mou
Georgia Institute of Technology
Oncel Tuzel
Apple
Challenge Organizers
Sercan Amaç
Technical University of Munich
Haoping Bai
Apple
Michael Biehler
Georgia Institute of Technology
Gokberk Cinbis
Middle East Technical University
Meng Cao
Apple
Xueying Ding
Carnegie Mellon University
Yavuz Durmazkeser
University of Tübingen
Siawpeng Er
HomeDepot
Arsalan Farooq
Apple
Furkan Küçük
Middle East Technical University
UgurAli Kaplan
University of Tübingen
Tatiana Likhomanenko
Apple
Weston Li
Apple
Ziyue Li
University of Cologne
Shancong Mou
Georgia Institute of Technology
Atahan Özer
University of Tübingen
Oncel Tuzel
Apple
Yinan Wang
Rensselaer Polytechnic Institute
Shenghao Xia
University of Arizona
Hao Yan
Arizona State University
Carrie Yu
Apple
Xiaowei Yue
Virginia Tech
Shuangfei Zhai
Apple
Yinwei Zhang
University of Arizona
Zihan Zhang
Georgia Institute of Technology
Yue Zhao
Carnegie Mellon University
Advisory Committee
Dr. Samy Bengio
Apple
Dr. Ali Farhadi
Apple
Dr. Rahul Kapoor
Apple
Dr. Jianjun Shi
Georgia Institute of Technology
Dr. Jiulong Shan
Apple
Dr. Leonid Sigal
University of British Columbia