2026 10th International Conference on Advances in Image Processing (ICAIP 2026)
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About this event
2026 10th International Conference on Advances in Image Processing (ICAIP 2026)
Date: November 27-29, 2026
Venue: Shanghai, China
Location Highlight: Shanghai, a global financial, commercial, and shipping hub located on China’s central coast, is known for its futuristic architecture and historical sites. The city blends modern skyscrapers like the Shanghai Tower with historical landmarks such as The Bund and Yu Garden, making it a top destination for culture, cuisine, and tourism.
About ICAIP 2026
The 10th International Conference on Advances in Image Processing (ICAIP 2026) is a premier event that brings together researchers, industry professionals, and experts to discuss the latest advancements and challenges in the field of image processing. The conference aims to provide a platform for fruitful discussions, networking, and exchange of ideas, fostering collaboration between academia and industry.
Image processing has become a crucial technology for many organizations, with applications in production automation, agricultural landscape management, biomedical and healthcare, disaster management, and more. ICAIP 2026 will explore these diverse applications and the potential for future adoption, addressing the challenges and innovations in the field.
Event Details
Co-Sponsored By: East China Normal University and Southwest Jiaotong University
Supported By: Sichuan University, Southwestern University of Finance and Economics, University of Southern Mississippi (USA), and NOVA University of Lisbon (Portugal)
Submission and Publication
Submission Deadline: July 10, 2026
Notification Date: August 10, 2026
Camera Ready Paper Due: August 25, 2026
Registration Deadline: August 25, 2026
Publication: Accepted full papers will be published in a volume of SPIE Proceedings, indexed by Ei Compendex, Scopus, and CPCI (Web of Science).
Conference Topics
- COVID-19 and Imaging
- Acoustic Imaging
- Color Imaging
- Computer Vision
- Image Security and Privacy Protection
- Digital Video
- Feature Extraction
- Holographic Imaging
- Image Acquisition Techniques
- Image and Pattern Analysis
- Image Compression
- Image Enhancement
- Multimedia Security
- Image Quality
- Image Retrieval
- Image Segmentation
Target Audience
ICAIP 2026 attracts a diverse audience including:
- Researchers in image processing and computer vision
- Industry professionals from tech companies and startups
- Academics and educators in related fields
- Students pursuing advanced studies in image processing
- Healthcare professionals interested in medical imaging
- Engineers working in automation, agriculture, and disaster management
Geographic Reach
ICAIP 2026 has a global reach, attracting participants from around the world. The event is particularly strong in drawing attendees from Asia, North America, and Europe, given the international collaborations and the reputation of the sponsoring and supporting institutions.
Estimated Attendance
While specific numbers for ICAIP 2026 are not provided, the conference's history and growth indicate a substantial turnout of researchers, industry professionals, and students. Previous editions have featured hundreds of participants, and with the increasing importance of image processing, attendance is expected to be robust.
Key Focus Areas and Buyer Engagement
The conference focuses on advancing image processing technologies and their applications across various sectors. For potential buyers, ICAIP 2026 offers opportunities to engage with:
- Research institutions seeking partnerships for innovation
- Companies looking to adopt or enhance image processing technologies
- Academics and educators developing curricula or research programs
- Healthcare providers interested in medical imaging solutions
- Engineers and technicians in industries like automation and agriculture
Recommendation for Buyer List
Based on the event's focus and the industries involved, the following types of companies and professionals would be ideal targets for attendee lists:
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Google Research | https://www.research.google/ | Computer Vision Engineer | Leader in AI and image processing research |
| 2 | Canon Inc. | https://www.canon.com/ | Imaging Technology Manager | Major player in imaging equipment and solutions |
| 3 | Mayo Clinic | https://www.mayoclinic.org/ | Medical Imaging Director | Leading healthcare provider with interest in medical imaging |
| 4 | John Deere | https://www.deere.com/ | Agricultural Automation Manager | Uses image processing in agricultural technology |
| 5 | Intel Corporation | https://www.intel.com/ | Computer Vision Architect | Involved in developing vision processing technologies |
| 6 | Siemens Healthineers | https://www.siemens-healthineers.com/ | Medical Imaging Solutions Manager | Provider of advanced medical imaging solutions |
| 7 | NVIDIA | https://www.nvidia.com/ | AI Research Scientist | Leader in GPU technology for image and signal processing |
| 8 | 3M Health Information Systems | https://www.3m.com/healthcare/health-it.html | Healthcare Imaging Solutions Manager | Offers solutions in healthcare information systems including imaging |
| 9 | Bosch Software Innovations | https://www.bosch-si.com/ | Image Processing Software Architect | Engaged in software solutions for image processing applications |
| 10 | Microsoft Research | https://www.microsoft.com/en-us/research/ | Research Developer in Computer Vision | Active in research related to computer vision and AI |
| 11 | Adobe Research | https://research.adobe.com/ | Senior Scientist, Image Processing | Leader in digital imaging and content creation tools |
| 12 | IBM Research | https://www.research.ibm.com/ | Researcher, Visual Computing | Involved in various image and visual computing projects |
| 13 | Cerner Corporation | https://www.cerner.com/ | Medical Imaging Solutions Director | Provides healthcare IT solutions including medical imaging |
| 14 | Hitachi, Ltd. | https://www.hitachi.com/ | Imaging Systems Manager | Offers a range of imaging solutions for various industries |
| 15 | Agfa-Gevaert Group | https://www.agfa.com/ | Digital Imaging Product Manager | Specializes in digital imaging and healthcare solutions |
| 16 | Philips HealthTech | https://www.philips.com/healthtech | Medical Imaging Director | Leading provider of medical imaging and healthcare technology |
| 17 | Amazon Web Services (AWS) | https://aws.amazon.com/ | Machine Learning Engineer, Computer Vision | Offers cloud-based image processing and AI services |
| 18 | General Electric (GE) Healthcare | https://www.gehealthcare.com/ | Medical Imaging Solutions Manager | Provides advanced medical imaging equipment and solutions |
| 19 | Samsung Electronics | https://www.samsung.com/semiconductor/ | Image Sensor Product Manager | Manufactures image sensors and related technologies |
| 20 | Canon Medical Systems | https://www.canon.com/medical/ | Medical Imaging Product Manager | Offers a wide range of medical imaging solutions |
Client Product Fit Note
Please share your client's website to refine the buyer list. The suitability of ICAIP 2026 for your client's product depends on the specific offering:
- If your client sells image processing software or AI tools, target companies like Google, NVIDIA, and Adobe.
- If your client offers medical imaging solutions, focus on Mayo Clinic, Siemens Healthineers, and GE Healthcare.
- If your client is in industrial automation or agricultural imaging, consider John Deere and Bosch.
- If your client provides hardware or components for imaging, target Canon, Samsung Electronics, and 3M Health Information Systems.
Industry Recommendations
Based on the Apollo industry list, the following sectors are most relevant for ICAIP 2026:
- Information Technology & Services
- Biotechnology
- Healthcare & Life Sciences
- Computer Software
- Computer Hardware
- Artificial Intelligence
- Medical Devices
- Research
- Education Management
- Higher Education
Final Recommendation
ICAIP 2026 is a valuable event for companies and professionals involved in image processing technologies. With its global reach, diverse audience, and focus on cutting-edge research and applications, it offers excellent opportunities for networking, collaboration, and business development. The event is particularly recommended for those seeking to engage with leading researchers, industry innovators, and potential partners in the field of image processing.
Data sheet
2026 10th International Conference on Advances in Image Processing (ICAIP 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 27–29, 2026
Location: Dishui Lake International Software Engineering Institute, 111 Nanmu Road, Pudong New Area, Shanghai, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 10th International Conference on Advances in Image Processing (ICAIP 2026) |
| Event Date | November 27–29, 2026 |
| Event Status | Upcoming |
| Venue | Dishui Lake International Software Engineering Institute |
| City | Shanghai |
| State / Region | Pudong New Area, Shanghai Municipality |
| Country | China |
| Organizer | ICAIP 2026 organizing committee; co-sponsored by East China Normal University and Southwest Jiaotong University |
| Official Event Website | icaip.org |
| Event Type | International academic conference / research and industry knowledge-sharing event |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Global, with strong Asia-Pacific and academic research orientation |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendee volume; official website confirms dates, city, conference scope, sponsors, submission/publication details, and topic areas, but does not publish attendee totals in the provided source content. |
| Main Purpose of Event | To convene researchers, universities, and industry professionals around advances in image processing, computer vision, imaging systems, multimedia security, and applied AI-enabled imaging use cases. |
About the Event
ICAIP 2026 is the 10th edition of the International Conference on Advances in Image Processing, scheduled for November 27–29, 2026 in Shanghai, China. Based on the official event website, the conference is positioned as a forum for researchers and industry participants to exchange ideas on image processing, computer vision, feature extraction, image security, video, pattern analysis, segmentation, biomedical imaging, and related technical domains. The event is co-sponsored by East China Normal University and Southwest Jiaotong University, with additional institutional support from multiple domestic and international universities.
From a business development perspective, ICAIP 2026 matters most as a high-intent technical gathering rather than a mass-market expo. The strongest participant groups are expected to include academic research teams, R&D leaders, laboratory managers, computer vision developers, imaging scientists, and university-industry collaboration stakeholders. It is relevant for suppliers in imaging software, AI infrastructure, research tools, technical publishing, data platforms, sensors, and specialist engineering services, especially where buying decisions are influenced by technical evaluation and partnership discussions rather than immediate transactional sourcing.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and principal investigators | Universities, research institutes, graduate laboratories | Influence research software, compute infrastructure, imaging tools, datasets, and collaboration partners | High relevance for research platforms, vision software, imaging equipment, academic publishing, and grant-aligned partnerships |
| Computer vision and image processing engineers | AI companies, software firms, applied R&D teams, industrial labs | Evaluate algorithms, toolkits, APIs, annotation workflows, and compute environments | Strong fit for software vendors, GPU/cloud providers, MLOps tools, imaging SDKs, and testing platforms |
| R&D directors and lab leaders | Universities, national labs, corporate R&D centers | Budget holders or technical approvers for specialized tools and collaborations | Important for enterprise deals, funded research partnerships, and pilot projects |
| Biomedical and healthcare imaging specialists | Medical research groups, hospitals, health-tech labs | Assess clinical imaging workflows, AI diagnostics support, segmentation and enhancement tools | Relevant for medical imaging software, AI analytics, image archiving, and applied research collaborations |
| Industrial automation and machine vision teams | Manufacturing R&D groups, robotics teams, quality inspection teams | Influence adoption of imaging systems, defect detection models, edge AI, and production analytics | Good fit for machine vision vendors, industrial cameras, embedded AI, and automation software |
| Cybersecurity and multimedia security researchers | Universities, infosec groups, privacy-tech teams | Evaluate privacy-preserving imaging, watermarking, secure transmission, and data protection approaches | Relevant for security software vendors, encryption tools, privacy compliance solutions, and secure infrastructure providers |
| Graduate students and doctoral candidates | Academic programs and research labs | End users and internal advocates for tools, publications, and software environments | Useful for trial adoption, future pipeline building, and campus-level product seeding |
| Academic partnerships and program development stakeholders | Universities, cross-border academic networks, conference sponsors | Support conference sponsorships, collaborations, exchange programs, and research visibility | Relevant for association outreach, publication partners, grants, and co-development opportunities |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Shanghai | Local universities, AI labs, engineering schools, and technology companies | High | Host city offers strong academic and technology ecosystem, especially in Pudong and broader Shanghai research clusters |
| Yangtze River Delta | Attendees from Jiangsu, Zhejiang, Hangzhou, Suzhou, Nanjing, and nearby innovation hubs | High | Likely source of regional university and industrial R&D participation |
| National China | Researchers and academic delegates from major Chinese universities and institutes | High | Official Chinese-language promotion supports domestic reach |
| Asia-Pacific | International authors, speakers, and research collaborators from neighboring countries and regional institutions | Medium | Conference positioning and publication pathway support wider research participation |
| International | Academic and institutional participants from Europe and North America | Medium | Supported by international university participation and English-language publication route via SPIE proceedings |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is branded as an international conference, invites global submissions, and publishes accepted full papers in SPIE proceedings indexed by major scholarly databases. |
| National / Asia-Pacific | Secondary concentration | Practical attendee concentration is likely strongest across China and nearby regional research ecosystems due venue location and co-sponsoring institutions. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| East China Normal University | University / co-sponsor | Confirmed co-sponsor; highly relevant for imaging research, AI collaboration, and academic tool procurement | ecnu.edu.cn | Professor, Principal Investigator, Lab Director, Dean, Research Program Manager | Confirmed Current-Year Participant |
| Southwest Jiaotong University | University / co-sponsor | Confirmed co-sponsor; relevant for engineering, machine vision, and applied imaging research | swjtu.edu.cn | Professor, Research Director, School Administrator, Laboratory Manager | Confirmed Current-Year Participant |
| Sichuan University | University / supporting institution | Officially listed as supporting institution; relevant for research-led partnerships and technical tool adoption | scu.edu.cn | Professor, PI, Research Center Director, Procurement Administrator | Confirmed Current-Year Participant |
| Southwestern University of Finance and Economics | University / supporting institution | Officially listed as supporting institution; relevant where data science, imaging analytics, and interdisciplinary AI programs intersect | swufe.edu.cn | Professor, Program Director, Research Administrator | Confirmed Current-Year Participant |
| The University of Southern Mississippi | University / supporting institution | Officially listed as supporting institution, indicating international academic participation potential | usm.edu | Professor, Research Scientist, Department Chair, Sponsored Research Manager | Confirmed Current-Year Participant |
| NOVA University Lisbon | University / supporting institution | Officially referenced as a supporting international university in the event description | unl.pt | Professor, Research Group Lead, International Partnerships Director | Confirmed Current-Year Participant |
| SPIE | Technical publishing / proceedings organization | Confirmed proceedings publication route for accepted registered papers; relevant for scholarly dissemination and research visibility | spie.org | Publishing Manager, Conference Program Manager, Partnerships Manager | Confirmed Current-Year Participant |
| ICAIP 2025 participating institutions | Prior-year conference ecosystem | Historical continuity suggests repeat academic participation patterns, but current-year attendee names are not published in the provided source | icaip.org | Professor, Researcher, Lab Director | Prior-Year Participation Evidence |
| ICAIP 2024 participating institutions | Prior-year conference ecosystem | Historical edition confirms ongoing conference continuity and institutional interest in image processing topics | icaip.org | Professor, Department Chair, Research Coordinator | Prior-Year Participation Evidence |
| ICAIP 2023 participating institutions | Prior-year conference ecosystem | Useful only as historical pattern evidence; not a confirmed attendee list for the current edition | icaip.org | Research Scientist, Professor, Program Lead | Prior-Year Participation Evidence |
Prior-year participation evidence. Not a confirmed attendee list for the current edition.
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 | Often drives tool selection, lab collaborations, grant-funded projects, and technical validation |
| 2 | Research Director | R&D | Director | Influences larger platform decisions, institutional partnerships, and strategic research priorities |
| 3 | Laboratory Director / Laboratory Manager | Lab Operations | Manager / Director | Relevant for evaluation and procurement of imaging systems, software, and infrastructure |
| 4 | Computer Vision Engineer | Engineering | Individual Contributor / Manager | Core technical evaluator for vision models, APIs, data tools, and deployment stacks |
| 5 | AI Scientist / Research Scientist | Research / Data Science | Senior IC / Lead | Key for algorithmic adoption, benchmark testing, and thought leadership alignment |
| 6 | Dean / Department Chair | Academic Administration | Executive | Important for institutional partnerships, sponsorships, and program-level initiatives |
| 7 | IT Director | Information Technology | Director | Relevant for storage, compute, security, software licensing, and technical deployment decisions |
| 8 | Program Manager / Sponsored Research Manager | Research Administration | Manager | Helps move collaborations, budgets, approvals, and external partnerships forward |
| 9 | Product Manager, Computer Vision | Product | Manager | Important where applied imaging products are being commercialized |
| 10 | Partnerships Director | Business Development / Partnerships | Director | Relevant for sponsorships, co-research initiatives, and institutional alliance building |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for institutes and scientific labs working in image processing | Research software, imaging infrastructure, collaboration tools |
| 2 | Higher Education | Universities are central to conference participation | Lab tools, publication services, academic partnerships |
| 3 | Information Technology & Services | Relevant for applied AI, imaging deployment, and technical services | Implementation partners, enterprise imaging solutions |
| 4 | Computer Software | Image processing software, vision libraries, AI tools | Modeling, annotation, analytics, image workflow platforms |
| 5 | Computer Hardware | Relevant for edge devices, processors, and imaging compute | GPU systems, embedded devices, camera processing units |
| 6 | Semiconductors | Imaging and AI acceleration often depend on chip design and sensor technology | Sensors, acceleration hardware, machine vision platforms |
| 7 | Electrical/Electronic Manufacturing | Relevant for imaging devices and system integration | Camera modules, lab electronics, embedded image systems |
| 8 | Industrial Automation | Machine vision and automated inspection are named use cases | Defect detection, process vision, robotics inspection |
| 9 | Biotechnology | Biomedical imaging is specifically referenced in event content | Research imaging, cell analysis, visual diagnostics support |
| 10 | Hospital & Health Care | Healthcare applications are a stated use case | Medical image analysis, radiology support, clinical AI |
| 11 | Medical Devices | Relevant to hardware-enabled imaging and diagnostics | Diagnostic platforms, image capture, workflow integration |
| 12 | Computer & Network Security | Image security and privacy protection are listed conference topics | Privacy, secure image transfer, multimedia security |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official website content provided | No attendee total disclosed in the supplied official content |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website content provided | This appears to be a conference rather than a large exhibition-led event |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website content provided | Audience is primarily academic and technical rather than formal hosted buyers |
| Speaker count | Not publicly confirmed in the supplied source text | Not Confirmed | Official website content provided | Site navigation references keynote and invited speeches, but no count is available in the provided extract |
| Sponsor / supporting institution count | At least 6 named institutions/organizations | Confirmed | Official event description | Includes 2 co-sponsors, 4 named supporting institutions, and publication route via SPIE proceedings |
| Historical attendance | No historical attendance number stated in supplied official content | Historical / prior-year evidence unavailable | Official website history references 2017–2025 editions | Only continuity of prior editions is confirmed, not volume |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Image Processing Research | Algorithms, datasets, benchmarking, workflow optimization | Research demos, lab pilots, technical workshops | Image analysis software, annotation tools, experiment management platforms |
| Computer Vision | Detection, segmentation, recognition, visual automation | Applied solution briefings and technical validation sessions | Vision SDKs, edge AI, model deployment tools |
| Biomedical and Healthcare Imaging | Clinical analysis, image enhancement, secure handling of medical data | Cross-disciplinary collaboration with labs and medical researchers | Medical imaging analytics, compliant storage, segmentation platforms |
| Image Security and Privacy Protection | Secure transmission, privacy, watermarking, protected datasets | Security-focused technical sessions and partnership outreach | Encryption, privacy-preserving AI, secure collaboration tools |
| Digital Video and Multimedia | Compression, retrieval, quality improvement, analytics | Use-case demos for streaming, monitoring, and content analysis | Video AI, indexing, quality optimization, media analytics |
| Industrial and Production Automation | Machine vision for inspection, quality, and automation | Industry case studies and pilot deployment discussions | Industrial cameras, AI inspection, embedded analytics |
| Research Publication and Academic Visibility | Credible dissemination, indexing, proceedings placement | Conference sponsorship and publication support discussions | Publishing services, editorial support, conference partnerships |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for research tools, AI infrastructure, vision software, medical imaging, and academic partnerships; weaker for general non-technical products. |
| Decision-maker availability | Medium | Technical decision makers are likely present, but many purchasing decisions may be committee-based or grant-driven. |
| Data collection potential | Medium | Useful for targeted lead building if speaker, committee, and author data are accessible; weaker if relying only on public attendee disclosure. |
| Apollo targeting potential | High | Conference themes map well to Higher Education, Research, Computer Software, IT Services, Medical Devices, and Industrial Automation. |
| Geographic targeting potential | High | China, Shanghai, and Asia-Pacific segmentation should be effective; international academic filtering also relevant. |
| Best outreach approach | High | Use technical-value messaging, case studies, collaboration language, pilot projects, and publication/research productivity benefits. |
| Overall lead quality | High | Good niche event for specialist B2B outreach and attendee list building in imaging and vision ecosystems. |
| Best use case | High | Best for lead generation among researchers, labs, universities, and technical R&D stakeholders rather than high-volume commercial buyer lists. |
| Limitations / risks | Medium | Public attendee counts and named participant lists are limited in the provided official source; conversion cycles may be longer due academic procurement timelines. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Computer Hardware; Semiconductors; Electrical/Electronic Manufacturing; Industrial Automation; Biotechnology; Hospital & Health Care; Medical Devices; Computer & Network Security | Build event-aligned prospect universes across academic and applied imaging markets |
| Departments | Research, Engineering, Information Technology, Product Management, Academic Affairs, Partnerships, Operations | Reach technical evaluators and institutional influencers |
| Seniority | Director, VP, CXO, Head, Professor-equivalent, Manager, Senior IC | Balance technical depth with budget influence |
| Job titles | Professor, Principal Investigator, Research Director, Laboratory Director, Laboratory Manager, Computer Vision Engineer, Research Scientist, AI Scientist, IT Director, Department Chair, Dean, Program Manager, Partnerships Director, Product Manager Computer Vision | Prioritize high-fit academic and technical personas |
| Geography | China; Shanghai; Jiangsu; Zhejiang; Asia-Pacific; selected Europe and North America academic institutions | Mirror likely attendee origin and international research participation |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture universities, institutes, hospitals, and mid-to-large R&D organizations |
| Keywords | image processing, computer vision, imaging, image segmentation, feature extraction, multimedia security, digital video, image retrieval, image enhancement, medical imaging, machine vision, pattern analysis | Identify organizations and contacts aligned to conference subject matter |
| Technologies | AI/ML stack, GPU computing, imaging software, data annotation, CV frameworks, lab computing infrastructure | Useful when prospecting applied R&D and AI deployment buyers |
| Revenue range | Use where available for commercial organizations; not essential for universities and research institutes | Supports prioritization of commercial imaging buyers |
| Company type | Universities, research institutes, hospitals, AI software firms, electronics manufacturers, industrial automation firms | Focuses prospecting on the most event-relevant institution types |
Suggested Apollo Search Logic: (“image processing” OR “computer vision” OR “medical imaging” OR “machine vision” OR “image segmentation” OR “feature extraction” OR “multimedia security”) AND (Research OR Engineering OR Information Technology) AND (Professor OR “Research Director” OR “Lab Director” OR “Computer Vision Engineer” OR “Research Scientist” OR “IT Director”).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICAIP 2026 Official Website | Official event website | Confirmed event name, dates, city, country, international positioning, co-sponsors, supporting institutions, call for papers topics, publication details, and important deadlines | High |
| User-supplied venue details | Provided event detail | Venue name and street address: Dishui Lake International Software Engineering Institute, 111 Nanmu Road, Pudong New Area | Medium |
| ICAIP History / Prior Editions | Official event website historical reference | Confirmed continuity of prior editions from 2017 through 2025; used only as historical evidence, not current-year attendance confirmation | High |
| SPIE | Official organization website | Referenced for organizational identity of the proceedings publisher named on the official event site | High |
This event is suitable for B2B attendee list building where the goal is niche technical prospecting in academic research, computer vision, imaging, and applied AI ecosystems. It is less suitable for high-volume retail-style buyer list generation because publicly confirmed attendee and buyer counts are limited.
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