2026 4th International Conference on Intelligent Perception and Computer Vision (CIPCV 2026)
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About this event
2026 4th International Conference on Intelligent Perception and Computer Vision (CIPCV 2026)
Date: August 14-16, 2026
Venue: Shanghai, China
Event Type: Academic Conference, Research Symposium, Technical Workshop
Estimated Attendance: [Not specified on the official website]
1️⃣ Who attends (BUYERS / ATTENDEES)
The primary attendees of CIPCV 2026 are:
- Academics and researchers in computer vision and artificial intelligence
- Engineers and scientists from academia and industry
- PhD students and postdoctoral researchers
- Industry professionals in AI, computer vision, and related technologies
- Representatives from sponsoring organizations and media partners
Best Buyer Profiles: Academic institutions, research labs, AI/robotics companies, engineering firms, and technology vendors.
2️⃣ Where the show is happening + attendee geographic origin
Location: Shanghai, China
Attendee Geographic Origin: Global, with a focus on Asia-Pacific, North America, and Europe, based on previous editions and international academic participation.
3️⃣ Audience reach (Local / National / Global)
Reach Type: Global
CIPCV 2026 is an international conference, attracting participants from around the world, particularly from regions with strong academic and industrial presence in AI and computer vision.
4️⃣ Sample buyer company names + websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Intel | https://www.intel.com | Computer Vision Research Director | Leader in AI and computer vision technologies, with active research and development. |
| 2 | NVIDIA | https://www.nvidia.com | AI Research Manager | Prominent in GPU technology for AI and computer vision applications. |
| 3 | Google AI | https://ai.google/ | Machine Learning Researcher | Extensive research in AI, machine learning, and computer vision. |
| 4 | Microsoft Research | https://www.microsoft.com/en-us/research/ | Computer Vision Engineer | Active in advancing computer vision and AI through research and development. |
| 5 | Toyota Research Institute | https://www.tri-global.com/ | Autonomous Systems Researcher | Applies computer vision in autonomous vehicles and robotics. |
| 6 | Stanford University - AI Lab | https://ai.stanford.edu/ | Research Professor, AI/Computer Vision | Prominent academic institution with strong AI and computer vision research programs. |
| 7 | Massachusetts Institute of Technology (MIT) - CSAIL | https://www.csail.mit.edu/ | Computer Science Researcher | Leading research in computer science, including AI and computer vision. |
| 8 | University of California, Berkeley - BAIR | https://bair.berkeley.edu/ | AI Research Scientist | Active in AI and robotics research with a focus on computer vision. |
| 9 | Amazon AI | https://www.amazon.com/ai | Machine Learning Engineer | Applies AI and computer vision in various products and services. |
| 10 | Facebook AI Research (FAIR) | https://ai.facebook.com/ | Research Scientist, Computer Vision | Engaged in cutting-edge research in AI and computer vision. |
5️⃣ Job profiles, industries & event type
Best Job Profiles to Target:
- Research Scientists in AI/Computer Vision
- Machine Learning Engineers
- Computer Vision Engineers
- AI Research Directors
- Academic Researchers and Professors
- Engineers in Robotics and Autonomous Systems
Best Industries to Target (based on Apollo industry list):
- Artificial Intelligence
- Computer Software
- Computer Hardware
- Research
- Education Management
- Higher Education
- Information Technology & Services
6️⃣ Estimated attendance (expected total footfall)
[Not specified on the official website]
7️⃣ Key focus areas & buyer engagement
Key Focus Areas:
- Intelligent Perception
- Computational Intelligence
- Artificial Intelligence
- Computer Vision
- Machine Learning and Adaptive Systems
- Human-Robot Interaction
- Internet of Things (IoT)
- Biometric Authentication and Pattern Recognition
Buyer Engagement Angle: Position your offerings as solutions for advancing research and development in AI and computer vision. Highlight applications in academia, industry, and innovative technologies.
8️⃣ Client-Product Fit Note
Please share your client's website to tailor the buyer list and engagement strategy. Depending on the product, focus areas may vary:
- If your client offers AI/ML platforms or tools, target research scientists and engineers.
- If your client provides academic resources or educational software, target academic institutions and educators.
- If your client is in the robotics or autonomous systems industry, target engineers and researchers in those fields.
9️⃣ Final Recommendation
CIPCV 2026 is a valuable event for connecting with global leaders in AI and computer vision. The audience is highly specialized, making it an ideal platform for showcasing advanced technologies and research findings. Ensure your approach is tailored to the academic and industrial blend of attendees.
Data sheet
2026 4th International Conference on Intelligent Perception and Computer Vision (CIPCV 2026) – Event Attendee & Buyer Profile Analysis
Event date: August 14–16, 2026
Location: Holiday Inn Shanghai Pudong, Shanghai, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 4th International Conference on Intelligent Perception and Computer Vision (CIPCV 2026) |
| Event Date | August 14–16, 2026 |
| Event Status | Upcoming |
| Venue | Holiday Inn Shanghai Pudong |
| City | Shanghai |
| State / Region | Shanghai Municipality |
| Country | China |
| Organizer | Organizer not clearly named in the supplied official website text; conference is stated as being under the sponsorship of the Society of Advanced Science and Engineering. |
| Official Event Website | cipcv.org |
| Event Type | Academic Conference, Research Symposium, Technical Presentation Forum |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numeric attendance; high for event identity, dates, city, country, and topic scope based on official event website content. |
| Main Purpose of Event | To provide an international forum for academics, researchers, scientists, engineers, and industry professionals to present research, exchange knowledge, and discuss advances in intelligent perception, artificial intelligence, and computer vision. |
About the Event
CIPCV 2026 is the fourth edition of an international conference focused on intelligent perception and computer vision. According to the official event website, the conference will be held in Shanghai, China, from August 14 to 16, 2026, and continues a multi-year series following prior editions in Xi'an, Xiamen, and Hangzhou. The program is positioned around keynote speeches, technical oral presentations, poster sessions, paper submissions, and scholarly exchange across artificial intelligence, machine learning, perception systems, imaging, recognition, robotics vision, and related topics.
For commercial outreach and attendee profiling, this event matters because it attracts a concentrated audience of research-led technical decision influencers: university labs, engineering researchers, AI scientists, applied computer vision teams, graduate researchers, and selected industry professionals. While it is not a classic buyer-heavy trade show, it is relevant for suppliers targeting R&D partnerships, scientific software adoption, lab technology sales, AI platforms, imaging systems, edge vision solutions, and university or research-institute collaborations.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and faculty | Universities, engineering schools, AI research centers | Influence lab software selection, research tools, datasets, compute platforms, and collaborative projects | High relevance for scientific software, vision toolkits, sensing hardware, publication platforms, and research services |
| Industry R&D engineers and scientists | AI companies, robotics firms, imaging companies, autonomous systems vendors | Evaluate algorithms, testing tools, hardware modules, model deployment platforms, and development partnerships | High relevance for applied AI vendors, industrial vision suppliers, SDK providers, and prototype-enablement services |
| PhD students and postdoctoral researchers | Universities and national research labs | Strong technical evaluators; often influence early tool adoption and benchmark usage | Useful for early adoption, trial programs, technical communities, and future enterprise champions |
| Laboratory and innovation program leaders | Research institutes, university labs, applied innovation centers | Approve project budgets, collaborations, equipment sourcing, and grant-supported procurement | Good fit for strategic partnerships, instrumentation, compute, and integrated research solutions |
| AI and computer vision product teams | Software companies, hardware OEMs, edge AI vendors | Assess market-ready technologies and co-development opportunities | Relevant for component vendors, embedded systems suppliers, cloud AI providers, and computer vision platforms |
| Keynote speakers and technical committee participants | Senior academics and technical experts | Thought leadership influence rather than direct procurement ownership | High value for credibility building, partnerships, sponsorships, and technical evangelism |
| Publishing and indexing ecosystem stakeholders | Conference proceedings, indexing, research dissemination partners | Indirect influence over visibility and scientific dissemination | Moderate relevance for academic services, research analytics, and institutional visibility solutions |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Shanghai | Local academic institutions, AI startups, industrial R&D groups, technology firms | High | Strong host-city relevance due to dense concentration of universities, advanced manufacturing, and technology enterprises |
| Shanghai Municipality and East China | Researchers and engineers from Jiangsu, Zhejiang, and nearby innovation corridors | High | Likely feeder region for university attendance and corporate technical participation |
| National China | National university researchers, labs, graduate students, and AI industry practitioners | High | Official website positions the conference as an international academic platform hosted in China |
| Asia-Pacific | Cross-border academic and applied research participants | Medium to High | Likely based on international positioning, topic relevance, and accessible regional travel to Shanghai |
| North America and Europe | Selective international scholars, authors, and technical speakers | Medium | Likely international reach due to paper submissions, proceedings, and indexing visibility; current-year country mix not publicly confirmed |
| Global virtual/academic network | Researchers following proceedings, calls for papers, and indexing outcomes | Indirect | Important for long-tail outreach even if physical attendance is limited |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website describes CIPCV 2026 as an international conference and forum for academics, researchers, and scientists from worldwide. |
| National | Secondary practical reach | China is likely to represent a strong share of in-person participation due to host-country convenience and the event location in Shanghai. |
| Regional | Operational concentration | East China and the broader Asia-Pacific region are likely to be the strongest physical feeder markets. |
4. Sample Buyer Companies and Websites
The organizer has not publicly disclosed a current-year attendee list, buyer directory, exhibitor roster, or named sponsor list in the supplied official website content. The table below therefore focuses on strong market-fit prospecting targets relevant to the conference themes. These are not confirmed attendees unless stated otherwise.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| SenseTime | AI and computer vision company | Direct alignment with intelligent perception, imaging, recognition, and applied AI workflows | sensetime.com | Head of Computer Vision, Research Scientist, R&D Director, Product Director AI | Strong Market Fit, Attendance Not Confirmed |
| Megvii | AI and visual perception company | High relevance to perception systems, machine learning technologies for vision, and edge AI | megvii.com | Director of AI Research, Computer Vision Lead, Innovation Manager | Strong Market Fit, Attendance Not Confirmed |
| Hikvision | Vision systems and video analytics company | Relevant to surveillance video, motion tracking, pattern recognition, and intelligent detection topics | hikvision.com | Director of Imaging AI, Video Analytics Lead, Product R&D Manager | Strong Market Fit, Attendance Not Confirmed |
| Dahua Technology | Video intelligence and security technology company | Good fit for computer vision, image analysis, camera networks, and detection applications | dahuatech.com | R&D Director, AI Product Manager, Vision Algorithm Lead | Strong Market Fit, Attendance Not Confirmed |
| iFLYTEK | AI platform and intelligent systems company | Relevant across AI, speech recognition, machine learning, and intelligent application themes | iflytek.com | AI Platform Director, Research Lead, Applied Scientist | Strong Market Fit, Attendance Not Confirmed |
| DJI | Robotics and imaging technology company | Strong alignment with active and robot vision, camera systems, edge perception, and autonomy | dji.com | Head of Perception, Robotics Vision Lead, Imaging Systems Director | Strong Market Fit, Attendance Not Confirmed |
| Huawei | Telecom, cloud, AI, and hardware enterprise | Relevant to AI compute, IoT, sensors, edge deployment, and industrial perception systems | huawei.com | Chief Scientist, Cloud AI Director, Research Partnerships Manager | Strong Market Fit, Attendance Not Confirmed |
| Baidu | AI platform and autonomous technology company | Strong fit for machine learning, computer vision, and intelligent transportation topics | baidu.com | AI Research Director, Autonomous Systems Lead, Vision Scientist | Strong Market Fit, Attendance Not Confirmed |
| Alibaba Cloud | Cloud and AI infrastructure provider | Relevant for AI training, deployment, data processing, and enterprise vision application enablement | alibabacloud.com | Cloud AI Director, Solutions Architect, Industry Partnerships Director | Strong Market Fit, Attendance Not Confirmed |
| Tencent Cloud | Cloud, AI, and enterprise platform provider | Relevant to AI infrastructure, model services, imaging workflows, and enterprise adoption | tencentcloud.com | Enterprise AI Lead, Research Collaboration Manager, Product Strategy Director | Strong Market Fit, Attendance Not Confirmed |
| Lenovo Research | Corporate research and advanced technology organization | Applies AI and vision technologies across edge computing, devices, and enterprise systems | lenovo.com | Research Director, AI Lab Manager, Strategic Innovation Lead | Strong Market Fit, Attendance Not Confirmed |
| UBTECH Robotics | Robotics and intelligent systems company | Relevant for human-robot interaction, intelligent sensing, and perception-based robotics | ubtrobot.com | Robotics Vision Director, Perception Engineer Lead, R&D Partnerships Manager | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Director of AI Research | Research | Director | Owns research direction, external collaboration, and technical evaluation |
| 2 | Head of Computer Vision | Engineering / R&D | Head / Director | Directly aligned with conference content and solution fit |
| 3 | Research Scientist | Research | Manager / Individual Contributor | Technical evaluator and likely paper author or presenter |
| 4 | Professor / Principal Investigator | Academic Research | Senior | Influences grants, lab tooling, collaborations, and student adoption |
| 5 | AI Product Manager | Product | Manager | Maps research outcomes into commercial product use cases |
| 6 | CTO | Executive | C-Level | Approves strategic R&D, infrastructure, and innovation partnerships |
| 7 | Innovation Manager | Innovation / Strategy | Manager | Useful for pilot projects, industry-university collaboration, and scouting |
| 8 | Lab Manager | Research Operations | Manager | Often handles tool procurement, infrastructure needs, and vendor coordination |
| 9 | Partnerships Director | Business Development / Partnerships | Director | Key for academic alliances, co-development, and technology transfer |
| 10 | Program Manager, AI/Robotics | Programs / Engineering | Manager | Coordinates implementation, vendor testing, and research translation |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core fit for AI, software, systems integration, and technical solution vendors | AI platforms, model deployment, research collaboration tools |
| 2 | Computer Software | Direct overlap with machine learning, vision software, and algorithmic tooling | Vision SDKs, labeling tools, MLops, analytics |
| 3 | Research | Academic and institutional research participation is central to the event | University labs, institutes, grant-funded programs |
| 4 | Higher Education | Faculty, labs, and research students are a major attendee segment | Lab software, academic partnerships, educational licenses |
| 5 | Industrial Automation | Computer vision is heavily used in industrial inspection and smart systems | Machine vision, quality control, robotics integration |
| 6 | Electrical/Electronic Manufacturing | Relevant for imaging devices, sensors, embedded boards, and smart hardware | Sensor systems, smart cameras, edge devices |
| 7 | Computer Hardware | Important for compute, imaging, embedded systems, and acceleration infrastructure | GPU appliances, camera systems, edge hardware |
| 8 | Automotive | Relevant to autonomous perception and intelligent transportation themes | ADAS, mobility AI, vehicle sensing |
| 9 | Telecommunications | Supports AI networking, edge compute, IoT, and camera infrastructure | Connected sensing, low-latency inference environments |
| 10 | Aviation & Aerospace | Applies advanced vision, navigation, robotics, and imaging analytics | Drone perception, remote sensing, navigation intelligence |
| 11 | Medical Devices | Computer vision and biomedical image analysis are listed topic areas | Imaging diagnostics, smart devices, medical analysis workflows |
| 12 | Semiconductors | Supports AI accelerators, sensing chips, and embedded compute | Inference hardware, sensors, edge optimization |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Publicly Confirmed | Official website content supplied by user | No attendee count visible in the supplied official text |
| Exhibitor count | Not applicable / not publicly listed | Not Publicly Confirmed | Official website content supplied by user | Conference appears presentation-led rather than exhibition-led |
| Buyer count | Not publicly disclosed | Not Publicly Confirmed | Official website content supplied by user | Event is academically oriented; “buyers” are mainly research and innovation decision influencers |
| Speaker count | Not publicly confirmed in supplied text | Not Publicly Confirmed | Official website content supplied by user | Website references keynote speeches and previous speakers, but no visible current-year count in supplied content |
| Sponsor count | Named sponsor roster not visible in supplied text | Not Publicly Confirmed | Official website content supplied by user | Only generic “Sponsors / Supporter / Media partner” headings are visible |
| Historical attendance | No historical numeric attendance found in supplied official content | Historical / prior-year evidence unavailable | Official website content supplied by user | Prior editions are confirmed by city and year only |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence | Research acceleration, model development, validation, deployment | Technical demos, collaboration offers, benchmarking support | AI platforms, model tools, training infrastructure, optimization services |
| Computer Vision | Recognition, detection, tracking, image processing, edge inference | Vision proof-of-concepts and use-case-specific solution mapping | Vision SDKs, labeling tools, camera systems, imaging analytics |
| Intelligent Perception | Sensor fusion, interpretation, embedded intelligence | Joint research opportunities and hardware-software integration discussions | Sensors, edge modules, data acquisition and fusion platforms |
| Machine Learning | Training performance, reproducibility, model evaluation | Trial licenses, benchmark partnerships, academic pricing | MLOps, experiment management, data pipelines |
| IoT and Intelligent Networks | Connected sensing, distributed processing, device integration | System integration talks and pilot architecture discussions | IoT platforms, edge gateways, device management |
| Human-Robot Interaction | Perception-driven robotics, motion understanding, adaptive interfaces | Partnership outreach with robotics labs and product teams | Robotics vision modules, navigation software, interaction systems |
| Biomedical Image Analysis | Medical imaging classification, segmentation, and analysis | Cross-sector innovation discussions with health-tech researchers | Medical imaging AI, annotation tools, validation frameworks |
| Intelligent Transportation | Vehicle perception, traffic analytics, infrastructure sensing | Engage automotive, smart city, and mobility research teams | ADAS tools, edge vision, smart mobility analytics |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong relevance for research, AI, imaging, and advanced technology suppliers; weaker for general-purpose B2B products |
| Decision-maker availability | Medium | Senior academics and R&D leaders are valuable influencers, but direct procurement officers may be limited |
| Data collection potential | Medium | Conference websites often provide committees, speakers, program content, and author signals, but not always downloadable attendee lists |
| Apollo targeting potential | High | AI companies, research-focused enterprises, and higher education targets can be filtered effectively in Apollo |
| Geographic targeting potential | High | Shanghai, East China, and APAC create efficient geo-prioritization for outreach |
| Best outreach approach | High | Use research-led messaging, benchmarking offers, collaboration framing, demos, and technical credibility rather than hard sales messaging |
| Overall lead quality | High | Good event for R&D, academic partnership, and advanced technology prospecting |
| Best use case | High | Lead generation for AI research tools, perception systems, imaging solutions, innovation partnerships, and higher education sales |
| Limitations / risks | Medium | Not a classic procurement expo; public attendee confirmation is limited; sales cycles may be research-led and slower |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Research; Higher Education; Industrial Automation; Electrical/Electronic Manufacturing; Computer Hardware; Automotive; Telecommunications; Medical Devices; Semiconductors; Aviation & Aerospace | Capture the highest-fit technical and research-side audiences |
| Departments | Engineering; Research; Information Technology; Product Management; Business Development; Operations | Prioritize roles with technical influence and partnership ownership |
| Seniority | C-Level; VP; Director; Head; Manager; Owner for startups | Focus on decision-makers and high-influence evaluators |
| Job titles | CTO, Chief Scientist, Director of AI Research, Head of Computer Vision, Research Scientist, Professor, Principal Investigator, Lab Manager, AI Product Manager, Robotics Vision Lead, Innovation Manager, Partnerships Director | Align outreach with the event’s research and applied-technology profile |
| Geography | Shanghai; China; East China; Asia-Pacific; selected global AI research hubs | Build core local and regional lists first, then expand internationally |
| Employee size | 11–50; 51–200; 201–500; 501–1000; 1001–5000; 5001+ | Covers startups, mid-market innovation firms, and enterprise R&D groups |
| Keywords | computer vision, intelligent perception, machine learning, AI research, image processing, robotics vision, edge AI, pattern recognition, intelligent sensors, IoT, image analysis, autonomous systems | Improve relevance when title and industry alone are too broad |
| Technologies | AI/ML stack, cloud infrastructure, computer vision frameworks, GPU compute, embedded vision | Useful for tooling, infrastructure, and deployment vendors |
| Revenue range | Optional: $1M–$10M, $10M–$50M, $50M–$500M, $500M+ | Use only if budget qualification matters for the client’s offer |
| Company type | Private, Public, Educational Institution, Research Organization | Separates enterprise buyers from academic research prospects |
Suggested Apollo Search Logic: (“computer vision” OR “intelligent perception” OR “machine learning” OR “image processing” OR “robotics vision” OR “edge AI” OR “intelligent sensors”) AND (CTO OR “Director of AI Research” OR “Head of Computer Vision” OR “Research Scientist” OR Professor OR “Lab Manager” OR “AI Product Manager”) with geography prioritized to Shanghai, China, and Asia-Pacific.
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 |
|---|---|---|---|
| CIPCV 2026 Official Website | Official event website | Official event name, dates, city, country, conference scope, prior edition cities, call-for-paper topics, and submission timeline | High |
| User-supplied event details | Provided input | Venue listed as Holiday Inn Shanghai Pudong and date range matching the official website | Medium |
| Official website content excerpt supplied in prompt | Primary source text | Confirmed no publicly visible attendee count, named sponsor list, buyer directory, or exhibitor count in the supplied content | High |
Verification note: This event is suitable for B2B attendee list building mainly at the researcher, innovation, AI engineering, academic partnership, and applied R&D level. It is less suitable for classic procurement-list sales than a commercial expo, but it is useful for targeted prospecting into university labs, research institutes, AI product teams, and advanced technology organizations.
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 4th International Conference on Intelligent Perception and Computer Vision (CIPCV 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds