2026 The 11th International Conference on Image, Vision and Computing (ICIVC 2026)
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About this event
2026 The 11th International Conference on Image, Vision and Computing (ICIVC 2026)
Event Overview: The 11th International Conference on Image, Vision and Computing (ICIVC 2026) is a premier academic and research-focused event dedicated to advancing the fields of image processing, computer vision, and computational techniques. Co-sponsored by Kunming University of Science and Technology and IEEE, this conference provides an ideal platform for researchers, academics, industry professionals, and students to exchange insights, discuss developments, and explore innovations in these rapidly evolving domains.
Key Details
- Dates: July 17-19, 2026
- Venue: Kunming, China (referred to as the "Spring City")
- Organizers: Faculty of Information Engineering and Automation, Kunming University of Science and Technology
- Co-sponsors: Kunming University of Science and Technology, China and IEEE
- Technical Support: Provided by SMC
- Co-supported by: Sichuan University, Kunshan Duke University, Xi'an University of Science and Technology, Beijing Institute of Technology, Ocean University of China, and Quanzhou Xiamen University
Event Highlights
ICIVC 2026 will feature a range of academic activities including:
- Keynote speeches by renowned experts in the field
- Invited talks from leading researchers and industry professionals
- Special sessions covering cutting-edge topics such as:
- Generative AI-driven Image and Vision Innovation
- Extreme Environment Visual Adaptation Tech
- Multi-modal Visual-Sensor Data Fusion
- Few-shot/Zero-shot Visual Learning & Generalization
- Multimodal Intelligence for Emotion Recognition and Health Perception
- Radar Image Processing with Advanced Technology
- UAV-Borne Visual Data Processing and Application
- Neural Radiance Fields and 3D Reconstruction
- Low-Light and Nighttime Vision Enhancement
- Event-based Vision and Neuromorphic Sensors
- Efficient Vision Models and Edge Deployment
- Poster and video presentations for diverse research findings
Publication and Indexing
Accepted papers will be published in the ICIVC 2026 Conference Proceedings, which will be archived in IEEE Xplore and indexed by EI Compendex and Scopus. This ensures global visibility and academic recognition for contributing authors.
Target Audience
ICIVC 2026 attracts a diverse group of attendees, including:
- Academic researchers from universities and research institutions
- Industry professionals involved in computer vision and image processing technologies
- Ph.D. students and postdoctoral researchers
- Technology developers and engineers working on AI, machine learning, and computational methods
- Policy makers and funding agencies interested in the advancement of visual computing technologies
Geographic Reach
While the conference is held in Kunming, China, its reach is international. Past editions have been hosted in locations such as Portsmouth, UK, and various cities in China, including Chengdu, Dalian, and Xi'an. The event draws participants from around the world, making it a truly global platform for knowledge exchange.
Call for Papers and Participation
The conference is now open for submissions. Researchers and professionals are invited to submit original, high-quality papers in the following tracks:
- Track 1: Image Processing Theory and Application
- Track 2: Computer Graphics and Computational Photography
- Track 3: Computer Vision Techniques and Application
- Track 4: Multimedia Technology
Contact Information
For paper submissions, registration, and general inquiries, please contact:
- Contact Person: Ms. Lorraine, ICIVC 2026 Conference Secretary
- Email: icivc_conf@163.com
Important Dates
- Paper Submission Deadline: May 15, 2026 (Final Call: June 5, 2026)
- Notification of Acceptance: June 20, 2026
- Camera Ready Version Due: June 25, 2026
- Registration Deadline: June 25, 2026
- Conference Period: July 17-19, 2026
Previous Editions
ICIVC has a rich history, with previous conferences held in:
- Portsmouth, UK
- Chengdu, China
- Dalian, China
- Xi'an, China
- And other notable locations
Why Attend ICIVC 2026?
1. Academic Excellence: Present and discuss cutting-edge research with global experts.
2. Networking Opportunities: Connect with peers, potential collaborators, and industry leaders.
3. Career Development: Enhance your professional profile through presentations and interactions.
4. Technological Insights: Stay updated on the latest advancements and trends in image, vision, and computing technologies.
5. Publishing Prospects: Get your work published in IEEE Xplore and indexed in leading databases.
Visa and Travel Information
For international attendees, visa and travel arrangements should be made well in advance. Detailed information on visa requirements and recommended travel options can be obtained through the conference organizers.
Accommodation
Attendees are advised to book their accommodations early. The conference organizers may provide recommendations for hotels and other lodging options in Kunming.
Historical Significance
Kunming, known as the "Spring City" for its mild climate year-round, offers a unique blend of natural beauty and cultural richness. Attendees can explore local attractions such as the Stone Forest, Dian Lake, and the vibrant Flower and Bird Market.
Industry Relevance
ICIVC 2026 is highly relevant for industries involved in:
- Artificial Intelligence and Machine Learning
- Computer Vision and Image Processing
- Robotics and Autonomous Systems
- Healthcare and Medical Imaging
- Autonomous Vehicles and Smart Cities
- Augmented and Virtual Reality
- And other fields leveraging visual computing technologies
Special Sessions
ICIVC 2026 features several special sessions focusing on emerging topics, including:
- Generative AI in Image and Vision
- Visual Adaptation in Extreme Environments
- Multi-modal Sensor Data Fusion
- Efficient Vision Models for Edge Devices
Submission Guidelines
Papers must be original, unpublished work and conform to the conference formatting requirements. Templates are available for both LaTeX and Word. Submissions are to be made through the official submission system.
Conference Objectives
ICIVC 2026 aims to:
- Promote the exchange of ideas and research findings in image, vision, and computing.
- Foster collaborations between academia and industry.
- Support the development of new technologies and applications.
- Encourage the participation of young researchers and students.
Conclusion
ICIVC 2026 is a must-attend event for anyone involved in or interested in the fields of image processing, computer vision, and computational technologies. With its strong academic foundation, diverse special sessions, and global reach, this conference promises to be a hub of innovation and knowledge sharing.
Data sheet
2026 The 11th International Conference on Image, Vision and Computing (ICIVC 2026) – Event Attendee & Buyer Profile Analysis
Event date: July 17–19, 2026
Location: Kunming, Yunnan, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 The 11th International Conference on Image, Vision and Computing (ICIVC 2026) |
| Event Date | July 17–19, 2026 |
| Event Status | Upcoming |
| Venue | Kunming, China venue confirmed on official website excerpt; specific hotel/onsite venue not publicly confirmed in the provided official text. User-provided venue detail: Yunnan Fontaine Blanche Hotel (not verified in the supplied official website excerpt). |
| City | Kunming |
| State / Region | Yunnan |
| Country | China |
| Organizer | Faculty of Information Engineering and Automation, Kunming University of Science and Technology |
| Official Event Website | icivc.org |
| Event Type | International academic conference / research and publication event |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | International academic and technical audience, with strong China-based university and research participation |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendance count; high for event dates, city, organizer, conference scope, publication pathway, and co-sponsorship based on official website text |
| Main Purpose of Event | To present peer-reviewed research, enable academic exchange, support publication in IEEE conference proceedings, and connect researchers, universities, and relevant industry professionals working in image processing, computer vision, graphics, multimedia, and AI-enabled visual computing. |
About the Event
ICIVC 2026 is an international conference focused on image processing, computer vision, computational photography, multimedia technology, and adjacent AI-driven visual computing topics. The official conference website states that the event will be held in Kunming, China, during July 17–19, 2026, and is co-sponsored by Kunming University of Science and Technology and IEEE, with organization led by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology.
From a commercial and lead-generation perspective, this is primarily a research and technical decision-maker environment rather than a traditional trade show. The strongest attendee value lies in university labs, research institutes, IEEE-connected academics, applied AI researchers, technical program contributors, and R&D teams from companies exploring vision, multimodal sensing, edge deployment, and image intelligence. It is relevant for suppliers of AI software, computer vision tooling, GPU/compute platforms, sensors, academic technology partnerships, and research collaboration opportunities, but less suited to pure mass-market attendee-list sales than a broad commercial expo.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University faculty and principal investigators | Engineering schools, AI labs, computer science departments | Influence research software, lab equipment, compute, datasets, and collaboration choices | High relevance for academic technology vendors, GPU/compute suppliers, software platforms, and research service firms |
| Research scientists and postdoctoral researchers | University labs, institutes, applied vision programs | Strong technical evaluators; recommend tools and methods internally | Useful for product trials, benchmarking tools, publications support, and technical partnerships |
| Graduate students and doctoral candidates | Masters and PhD programs in vision, AI, robotics, multimedia | Future adopters and hands-on users; limited budget authority | Good for awareness, community building, and software adoption pipelines |
| Corporate R&D and AI engineering teams | Computer vision companies, edge AI firms, multimedia and imaging technology providers | Evaluate models, tools, sensors, compute, and partnership opportunities | High relevance for B2B technology providers and applied AI solution sellers |
| Technical program contributors and special session leaders | Professors, domain experts, session organizers | Shape technical agenda and influence topic visibility | Best for thought leadership, co-marketing, and standards/community positioning |
| Research institution and lab procurement stakeholders | University administration, lab managers, grant-funded procurement teams | Support acquisition of hardware, software, services, and conference-related technology | Relevant for enterprise software, instrumentation, cloud credits, and research infrastructure offers |
| Professional society and publication ecosystem participants | IEEE-affiliated stakeholders, conference committees | Influence standards, publication, and visibility decisions | Good for conference sponsorship, publishing support, and ecosystem partnerships |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Kunming | Host-city faculty, students, university administrators, and local research collaborators | Moderate | Host location supports strong local academic participation around Kunming University of Science and Technology |
| Yunnan Province | Regional universities, engineering schools, and research programs | Moderate | Likely draw for Southwestern China institutions seeking nearby conference access |
| Southwest China | Academic and applied research participants from Sichuan and neighboring provinces | High | Official co-supporting institutions include Sichuan University, indicating meaningful regional reach |
| National China reach | Universities, institutes, and company researchers from major Chinese academic and technology hubs | High | Confirmed co-supporting universities span multiple cities and provinces |
| International | Researchers, authors, and technical participants from overseas universities and companies | Selective but relevant | Conference is positioned as international, uses English call-for-papers content, and has prior editions outside and inside China |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly framed as an international conference, is listed in the IEEE official conference calendar, and targets universities, research institutions, companies, experts, and students across image, vision, and computing domains. |
| National | Strong secondary reach | Chinese university and institute participation is reinforced by the organizer and co-supported institution base. |
| Regional | Operationally important | Southwestern China is likely to be a practical high-density attendance zone due to venue location and host university ties. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Kunming University of Science and Technology | University / host institution | Co-sponsor and organizer base; central participant in conference delivery and likely source of faculty, lab, and procurement contacts | kmust.edu.cn | Dean, Professor, Lab Director, Procurement Officer, IT Director | Confirmed Current-Year Participant |
| IEEE | Professional society / technical co-sponsor | Co-sponsor connected to publication, conference visibility, and technical ecosystem credibility | ieee.org | Program Chair, Conference Operations, Publications Manager, Technical Activities Lead | Confirmed Current-Year Participant |
| Faculty of Information Engineering and Automation, Kunming University of Science and Technology | Academic organizer / engineering faculty | Direct organizing body for conference operations and academic program execution | kmust.edu.cn | Faculty Dean, Department Head, Professor, Research Center Director | Confirmed Current-Year Participant |
| SMC | Technical support organization | Officially listed as technical support provider for the conference | Not publicly clear in supplied official excerpt | Technical Support Manager, Conference Liaison, Program Support Lead | Confirmed Current-Year Participant |
| Sichuan University | University / co-supported institution | Officially named as a co-supported institution, indicating direct conference linkage | scu.edu.cn | Professor, Research Director, Lab Manager, Procurement Officer | Confirmed Current-Year Participant |
| Duke Kunshan University | University / co-supported institution | Listed in official conference text as a co-supported institution | dukekunshan.edu.cn | Professor, Program Director, Research Administrator, IT Manager | Confirmed Current-Year Participant |
| Xi'an University of Science and Technology | University / co-supported institution | Official co-supported institution relevant to engineering and applied technology audiences | xust.edu.cn | Professor, Research Center Director, Procurement Lead, IT Director | Confirmed Current-Year Participant |
| Beijing University of Technology | University / co-supported institution | Named in official conference text as a co-supported institution | bjut.edu.cn | Professor, Department Chair, R&D Director, Lab Operations Manager | Confirmed Current-Year Participant |
| Ocean University of China | University / co-supported institution | Officially listed as a co-supported institution | ouc.edu.cn | Professor, AI Research Lead, Lab Director, Procurement Officer | Confirmed Current-Year Participant |
| Huaqiao University | University / co-supported institution | Included in the official Chinese welcome text as a co-supported institution | hqu.edu.cn | Professor, Research Program Director, IT Director, Procurement Lead | Confirmed Current-Year Participant |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Academic | Senior | Influences lab technology decisions, collaboration, grants, and publication-related adoption |
| 2 | Research Director | R&D / Research | Director | Owns research priorities, tool evaluation, and strategic partnerships |
| 3 | Lab Director / Laboratory Manager | Lab Operations | Manager / Director | Practical owner of equipment, software deployment, and operational procurement |
| 4 | Associate Professor / Assistant Professor | Academic / Research | Mid-Senior | Often active authors, special session contributors, and early adopters of technical platforms |
| 5 | Computer Vision Engineer | Engineering / AI | Individual Contributor / Manager | Key evaluator of models, data workflows, edge deployment, and tooling |
| 6 | AI Research Scientist | Research / AI | Senior IC / Lead | Shapes evaluation criteria for methods, frameworks, and datasets |
| 7 | IT Director | IT / Infrastructure | Director | Relevant where compute, storage, campus infrastructure, or software deployment is involved |
| 8 | Procurement Officer / Purchasing Manager | Procurement / Administration | Manager | Handles purchasing process for software, hardware, and support services in institutional settings |
| 9 | Program Chair / Conference Chair | Conference / Academic Leadership | Senior | Critical for sponsorship, ecosystem partnership, and visibility initiatives |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Host and co-supported institutions are universities; core attendee base is academic | Research labs, engineering faculties, campus IT, procurement |
| 2 | Research | Research institutes and technical contributors are directly invited by the official call | Applied vision research groups and scientific programs |
| 3 | Information Technology & Services | Relevant for software, services, and AI platform providers supporting vision workloads | Vision infrastructure, model deployment, data pipelines |
| 4 | Computer Software | Matches conference themes around image processing, multimodal intelligence, and edge models | AI frameworks, developer tools, annotation and analytics platforms |
| 5 | Computer Hardware | Vision workloads depend on compute, sensors, edge devices, and acceleration | GPU servers, embedded systems, capture devices |
| 6 | Electrical/Electronic Manufacturing | Relevant to sensors, cameras, edge electronics, and imaging hardware | Imaging components and smart device integration |
| 7 | Industrial Automation | Computer vision is widely used in inspection, robotics, and automation environments | Machine vision and quality-control applications |
| 8 | Telecommunications | Relevant for edge deployment, video transport, and distributed visual systems | Networked vision systems and real-time media infrastructure |
| 9 | Medical Devices | Medical imaging is cited in the official Chinese welcome text as an application area | Imaging analysis, diagnostics support, AI-assisted visual interpretation |
| 10 | Aviation & Aerospace | UAV-borne visual data processing is an official special session topic | Drone vision, remote sensing, navigation, surveillance research |
| 11 | Consumer Electronics | Vision innovation often overlaps with imaging devices and smart products | Camera systems, AR/VR, on-device visual intelligence |
| 12 | Education Management | Conference administration and institutional decision processes may sit outside academic departments | Administrative buyers, digital learning, institution-wide platform adoption |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official website excerpt reviewed | No official attendee count in supplied text |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Academic conference format | This event is not presented as a conventional exhibition in the supplied official text |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website excerpt reviewed | Commercial buyer attendance is not separately reported |
| Speaker count | Keynote speakers, invited talks, and several special sessions confirmed; exact count not publicly confirmed in supplied text | Partially Confirmed | Official website welcome text and menu structure | Presence of keynote and invited speaker program is confirmed |
| Sponsor / support organization count | At least 8 named organizations/entities in supplied text | Confirmed | Official website welcome text | Includes co-sponsors, organizer, technical support, and co-supported institutions |
| Historical attendance | Historical attendance figure not publicly confirmed in supplied text | Historical / prior-year evidence unavailable in provided source extract | Official website excerpt reviewed | Prior-year pages exist, but no numeric attendance in supplied content |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Image processing theory and application | Algorithms, benchmarking, software tools, datasets | Technical demos, software trials, research collaboration outreach | Image analytics platforms, libraries, model optimization tools |
| Computer vision techniques and application | Detection, recognition, segmentation, real-world deployment | Engage applied researchers and enterprise R&D teams | Vision inference platforms, annotation tooling, edge deployment solutions |
| Generative AI-driven image and vision innovation | Model creation, synthetic data, content generation, multimodal workflows | Thought-leadership positioning and advanced AI use-case discussions | Foundation models, synthetic data tools, training infrastructure |
| Multimodal visual-sensor data fusion | Combining image, radar, event, and other sensor streams | Cross-domain partnerships with sensor and AI vendors | Sensor fusion software, embedded hardware, data integration platforms |
| UAV-borne visual data processing | Remote sensing, aerial analytics, visual navigation | Target aerospace, drone, and geospatial R&D buyers | Drone vision software, edge AI, imaging payload technologies |
| Neural radiance fields and 3D reconstruction | 3D perception, simulation, scene modeling | Target advanced labs and industrial R&D teams | 3D vision engines, reconstruction software, high-performance compute |
| Low-light and nighttime vision enhancement | Improved sensing under difficult conditions | Niche application targeting in surveillance, robotics, and imaging | Sensor hardware, enhancement software, embedded inference systems |
| Efficient vision models and edge deployment | Runtime efficiency, compression, real-time operation | High relevance for productization and campus/enterprise pilots | Model serving, on-device AI, MLOps, edge computing systems |
| Medical imaging and health perception | Clinical visual analysis, image classification, perception modeling | Engage interdisciplinary medical-tech and academic buyers | Imaging analytics software, diagnostic AI, medical data platforms |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for research-tech, academic software, compute, imaging, and AI infrastructure offerings; weaker for unrelated commercial categories |
| Decision-maker availability | Medium | Faculty and lab leaders are influential, but institutional purchasing may involve separate administrative approval layers |
| Data collection potential | Medium | Conference websites often disclose committees, speakers, and supporting institutions, but not always complete attendee lists |
| Apollo targeting potential | High | Universities, research institutions, AI software firms, and computer vision companies are targetable via industry, title, and keyword filters |
| Geographic targeting potential | High | Can be narrowed to China, East Asia, or global research institutions depending outreach budget and language capabilities |
| Best outreach approach | High-touch technical outreach | Works best with research-relevant value propositions, demos, benchmarking, pilot access, or collaboration offers rather than generic sales messaging |
| Overall lead quality | High | High-quality niche audience for AI vision, imaging, research tooling, and technical partnerships |
| Best use case | Targeted B2B outreach and research partnership prospecting | Best for curated account-based targeting instead of broad attendee-list monetization |
| Limitations / risks | Medium | Attendance counts and buyer lists are not publicly confirmed; academic attendance does not always convert to near-term commercial purchasing |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Information Technology & Services; Computer Software; Computer Hardware; Electrical/Electronic Manufacturing; Industrial Automation; Telecommunications; Medical Devices; Aviation & Aerospace; Consumer Electronics; Education Management | Covers the strongest institutional and applied-technology buyer pools aligned with the conference agenda |
| Departments | Research; Engineering; Information Technology; Education; Operations; Procurement | Targets both technical evaluators and operational buyers |
| Seniority | Director; VP; CXO; Head; Manager; Owner where relevant; Professor-equivalent titles via keyword targeting | Prioritizes decision-makers and key influencers |
| Job titles | Professor, Principal Investigator, Research Director, Lab Director, Laboratory Manager, Computer Vision Engineer, AI Research Scientist, Machine Learning Engineer, IT Director, Procurement Officer, Dean, Department Chair | Builds lists around research, evaluation, and institutional procurement authority |
| Geography | China first; then East Asia; then global depending language capacity and campaign type | Aligns with venue location and strongest probable participation zones |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Covers universities, institutes, and established technology vendors with budget and infrastructure |
| Keywords | computer vision, image processing, multimodal, machine vision, visual computing, deep learning, generative AI, neural radiance fields, edge AI, event-based vision, imaging, radar image processing, multimedia technology, UAV vision | Finds organizations and contacts working directly in event topic areas |
| Technologies, if relevant | AI/ML stack, cloud GPU usage, edge inference tooling, sensor systems, computer vision frameworks | Useful for technology-intent segmentation when available |
| Revenue range, if relevant | Use selectively for company-side targets; not essential for higher-education accounts | Helps separate enterprise R&D buyers from smaller technical firms |
| Company type | Educational Institution; Private Company; Public Company; Nonprofit where relevant | Supports separate academic and commercial outreach plays |
Suggested Apollo Search Logic: ("computer vision" OR "image processing" OR "visual computing" OR "machine vision" OR "multimodal" OR "generative AI" OR "3D reconstruction" OR "edge AI" OR "UAV vision" OR "event-based vision") AND (Professor OR "Research Director" OR "Lab Director" OR "AI Research Scientist" OR "Computer Vision Engineer" OR "IT Director" OR "Procurement Officer") AND (China OR Asia, depending market scope).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICIVC 2026 Official Website | Official event website | Event title, official dates, city/country, organizer, co-sponsors, technical support, co-supported institutions, publication statement, tracks, special sessions, and call-for-papers positioning | High |
| Official website excerpt supplied by user | Primary source text | Confirmed that the official conference period is July 17–19, 2026, which supersedes the differing user-provided date range | High |
| User-provided known details | Secondary input | Yunnan region and hotel detail were considered, but the specific venue was not verified in the supplied official website text | Medium |
Verification note: This event appears suitable for targeted B2B attendee intelligence and account-based outreach within academic research, AI, imaging, and computer vision ecosystems. It is less suitable for broad commercial attendee-list building because publicly confirmed attendee counts and named buyer lists are limited in the official materials reviewed.
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