VISION25 @ ICCV

Overview

Aims and Scope

The VISION workshop will 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 challenge competitions, this workshop aims to (i) bring together researchers from the interdisciplinary research communities related to computer vision-based inspection; and (ii) connect researchers and industry practitioners to synergize recent research progress and current needs in industrial practice.

Keynote Talks

Topics TBD. More keynote speakers will be announced soon — stay tuned!

Dr. Satish Bukkapatnam

Regents Professor, Texas A&M, Texas A&M (TEES)

Dr. Fugee Tsung

Chair Professor, HKUST, HKUST(GZ)

Dr. C Thomas

Applied Research Manager (Machine Learning), Apple

Dr. Zhiyong Xiao

Computer Vision AI/ML Engineer, Medtronic

Roboflow

Computer vision tools for developers and enterprises

Dr. Yao Yuan

Professor of Mathematics, HKUST

Program

Agenda

Time (HAST)	Topic
8:30 - 8:45	Chair’s Opening Remarks
8:45 - 9:15	Invited Talk I
9:15 - 9:45	Invited Talk II
9:45 - 10:15	Invited Talk III
10:15 - 11:00	Coffee Break and Poster Session
11:00 - 12:00	Paper Presentation
12:00 - 13:30	Lunch Break
13:30 - 14:00	Invited Talk IV
14:00 - 14:30	Invited Talk V
14:30 - 15:00	Invited Talk VI
15:00 - 16:00	Coffee Break and Poster Session
16:00 - 17:00	Panel Discussion
17:00 - 18:00	Paper Presentation

Call for Papers

Topics of Interest (not limited to)

From an industry point of view:

New developments and evolving practices across industries such as automotive, electronics, and construction, focusing on materials like glass, carbon fiber, metal, and plastic.
Advances in vision-based inspection technologies, the rise of foundation models, and the challenges these bring in terms of algorithm development (e.g., multi-modal data fusion, physics-informed learning).
Release of large-scale industrial inspection datasets.

From an academic point of view:

Algorithms for Data and Annotation Limitations
Techniques to Overcome Real-world Data Challenges
Data-centric Tools and Methodologies
Robust, Explainable, and Accountable Machine Learning
Meta-Learning, Transfer Learning, and Domain Adaptation
Foundation Models in Industrial Inspection
Multi-Modality Data Fusion for Inspection

Submission Instructions

Research and industrial papers relevant to the topics are invited. Authors have two options:

Regular paper: max 8 pages (details) (including figures and tables), appear in the ICCV workshops proceedings
Extended Abstracts: 4 pages, will NOT appear in the proceedings

Important Dates Submit paper

Full papers intended for publication in the conference workshop proceedings must be submitted by July 3rd extended (~~June 30~~). Acceptance notifications will be sent by July 10.
Extended abstracts (NOT intended for workshop proceedings) have a submission deadline of July 19, with author notifications issued by August 13.

Regular paper (aim to publication in the conference workshop proceedings) submission deadline (AoE):