2026 the 4th Asia Symposium on Image and Graphics (ASIG 2026)
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About this event
The 4th Asia Symposium on Image and Graphics (ASIG 2026)
Date: December 4-6, 2026
Venue: Kyoto, Japan (Hosted by Ritsumeikan University, Japan)
About ASIG 2026: ASIG 2026 is the premier forum for researchers, engineers, and practitioners in the fields of image and graphics processing. The symposium will explore the latest advancements in computer vision, machine learning, and related fields, including deep learning-based image recognition, generative adversarial networks (GANs), and other cutting-edge technologies.
Key Features
- Unique opportunity to exchange knowledge and ideas with leading experts
- Networking with international researchers, engineers, and practitioners
- Presentations on emerging trends and new directions in image and graphics processing
- Multiple tracks covering various aspects of image and graphics technologies
Tracks and Topics
- Track 1: Image Processing and Analysis
- Image enhancement, restoration, and filtering
- Image segmentation and object detection
- Image compression, coding, and transmission
- Medical image processing and analysis
- Remote sensing and satellite image processing
- Hyperspectral and multispectral image analysis
- Track 2: Computer Vision and Pattern Recognition
- Object detection, tracking, and recognition
- 3D vision and reconstruction
- Motion analysis and action recognition
- Scene understanding and semantic segmentation
- Face, gesture, and pose recognition
- Deep learning for computer vision tasks
- Track 3: Graphics and Visualization
- Rendering techniques (real-time, photorealistic, non-photorealistic)
- Geometric modeling and processing
- Animation, simulation, and virtual reality
- Augmented reality and mixed reality
- Scientific and information visualization
- GPU-based graphics and parallel computing
- Track 4: Machine Learning and AI for Image and Graphics
- Deep learning for image and graphics applications
- Generative models (GANs, VAEs, diffusion models)
- Reinforcement learning in visual tasks
- Transfer learning and domain adaptation
- Explainable AI for image and graphics
- Neural rendering and neural networks for graphics
- Track 5: Multimedia Systems and Applications
- Multimedia content analysis and retrieval
- Multimedia compression and streaming
- Interactive multimedia systems and user interfaces
- Multimedia security, watermarking, and forensics
- Social media analysis and recommendation systems
- Applications in gaming, entertainment, and education
- Track 6: Emerging Technologies and Interdisciplinary Applications
- Quantum image processing and computing
- Neuromorphic computing for image and graphics
- Edge and fog computing for visual data processing
- Ethical and societal implications of image and graphics technologies
- Applications in autonomous vehicles, robotics, and drones
Submission and Participation
Submission Method: Full papers and abstracts are acceptable. Please submit via the Online Submission System.
Conference Proceedings: Accepted papers will be published in either the International Conference Proceedings Series by ACM (archived in the ACM Digital Library) or in the Signals and Communication Technology book series (indexed by Scopus and zbMATH).
Delegate Participation: Attend as a delegate without publishing a paper or presenting.
Contact: For inquiries, email asig_conf@outlook.com or call 001-518-478-2659.
Data sheet
2026 the 4th Asia Symposium on Image and Graphics (ASIG 2026) – Event Attendee & Buyer Profile Analysis
Event date: December 4–6, 2026
Location: Kyoto, Japan
Event status: Upcoming
Research date: June 30, 2026
Event Overview
| Event Name | 2026 the 4th Asia Symposium on Image and Graphics (ASIG 2026) |
| Event Date | December 4–6, 2026 |
| Event Status | Upcoming |
| Venue | Ritsumeikan University, Japan (host confirmed on official website). Specific campus/room not publicly confirmed in the provided official source text. |
| City | Kyoto |
| State / Region | Kyoto Prefecture |
| Country | Japan |
| Organizer | Hosted by Ritsumeikan University, Japan. Full organizing entity name not otherwise publicly confirmed in the provided source text. |
| Official Event Website | asig.net |
| Event Type | Academic symposium / research conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Education & Training; Science & Research |
| Audience Reach | Global academic and technical reach; Asia-based host market |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numeric attendance; high for event identity, dates, location, topic scope, and host institution based on official website text. |
| Main Purpose of Event | Research presentation, paper publication, technical exchange, networking, and discussion of emerging methods in image processing, computer vision, graphics, multimedia systems, and AI-driven visual technologies. |
About the Event
ASIG 2026 is the 4th Asia Symposium on Image and Graphics, scheduled for December 4–6, 2026 in Kyoto, Japan, and hosted by Ritsumeikan University. Based on the official event website, the symposium is positioned as a forum for researchers, engineers, and practitioners working across image processing, computer vision, pattern recognition, graphics, visualization, multimedia systems, and AI for image and graphics applications.
From a market and lead-generation perspective, this is a specialist technical conference rather than a broad commercial expo. It is most relevant for organizations selling research tools, AI software, compute infrastructure, imaging components, visualization platforms, academic publishing services, lab technologies, and university-industry collaboration offerings. Procurement activity is likely to be concentrated among research labs, university departments, R&D teams, and advanced technology practitioners rather than high-volume trade buyers.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Universities, engineering schools, research institutes | Influence software selection, lab equipment evaluation, research collaboration, grants, and publication channels | High relevance for AI tools, vision software, datasets, GPU computing, visualization, and imaging workflows |
| Research engineers and technical practitioners | Corporate R&D teams, applied AI labs, technology companies | Evaluate platforms, libraries, compute environments, and applied vision/graphics solutions | Good fit for demos, pilot projects, API adoption, and technical proof-of-concept outreach |
| Computer vision and machine learning leaders | AI startups, enterprise innovation teams, robotics and autonomous systems groups | Shape architecture choices, vendor shortlists, and strategic partnerships | Strong relevance for model tooling, MLOps, edge AI, synthetic data, and deployment infrastructure |
| Graphics, visualization, VR/AR specialists | Graphics labs, simulation teams, immersive technology groups | Advise on rendering engines, visualization systems, GPUs, and simulation tools | Relevant for 3D software vendors, hardware manufacturers, and spatial computing providers |
| Academic procurement and lab administrators | University departments, research centers, grant-funded programs | Support acquisition of software licenses, services, instrumentation, and subscriptions | Useful for downstream procurement once technical teams validate need |
| Publishers and conference proceedings stakeholders | Academic publishers, indexing ecosystems, conference service providers | Influence publication workflows and scholarly dissemination partnerships | Relevant for abstract management, peer-review systems, and publishing services |
| Students and early-career researchers | Graduate programs, doctoral labs, technical training pathways | Lower direct buying authority; high future-user and influencer value | Relevant for educational licensing, community adoption, and talent pipeline building |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Kyoto | Local faculty, students, university labs, and nearby research institutions | Moderate | Host-city attendance likely benefits from university location and reduced travel friction |
| Kyoto Prefecture / Kansai Region | Regional universities, R&D centers, imaging and electronics researchers | High | Kansai provides access to strong academic and industrial technology ecosystems |
| Nearby business hubs | Osaka, Kobe, Nara, and broader western Japan technical communities | High | Relevant for enterprise R&D, robotics, electronics, and applied AI practitioners |
| Japan national reach | Researchers and engineers from major universities and corporate labs nationwide | High | The subject matter supports participation from Tokyo-area and other national institutions |
| Asia regional reach | Asia-based researchers, labs, and technical practitioners | High | Event branding as an Asia symposium indicates broad regional relevance |
| International reach | Global research and engineering audience | Moderate to High | Official website states researchers, engineers, and practitioners from around the world |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website explicitly references networking with leading experts and bringing together researchers, engineers, and practitioners from around the world. |
| Regional | Secondary description | The Asia symposium brand and Kyoto location make the event particularly relevant for Asian academic and applied-technology networks. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Ritsumeikan University | Host university / research institution | Officially confirmed as host; likely anchor organization for faculty, labs, and event operations | ritsumei.ac.jp | Professor, Associate Professor, Lab Director, Research Administrator, Department Chair, IT Manager | Confirmed Current-Year Participant |
| Official current-year attendee list not publicly released | Research note | The provided official website text confirms event themes and host details, but not a buyer-side organization directory | asig.net | N/A | Confirmed Government / Procurement Organization |
| Official current-year speaker organizations not publicly available in the provided source text | Research note | Speaker menu exists on the official site, but named organizations were not present in the supplied official content | asig.net | N/A | Confirmed Speaker Organization |
| Prior-year participation evidence not extractable from provided official text | Research note | History links for ASIG 2025, ASIG 2024, and ASIG 2023 are visible, but no named participant data was provided here | asig.net | N/A | Prior-Year Participation Evidence |
This event currently offers limited public evidence for a buyer-company table beyond the confirmed host organization. It is therefore not ideal for event-confirmed attendee list building unless the organizer later publishes speaker affiliations, committee members, accepted papers, or delegate organizations.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Academic | Director, Head, Senior | Key influencer for lab partnerships, software adoption, and funded research tooling |
| 2 | Research Scientist / Research Engineer | R&D | Manager, Senior, Individual Contributor | Evaluates technical performance, experimentation environments, and integration feasibility |
| 3 | Director of AI / Computer Vision Lead | Engineering / AI | Director, VP | Owns applied vision strategy and can sponsor pilots or vendor evaluations |
| 4 | CTO / Chief Scientist | Executive / Technology | C-Level | Important in startups, applied AI labs, and specialist imaging companies |
| 5 | IT Director / Research Computing Manager | IT / Infrastructure | Director, Manager | Relevant for compute, storage, cloud, GPU, and software deployment decisions |
| 6 | Lab Manager / Research Administrator | Operations / Administration | Manager | Supports procurement workflows, vendor onboarding, and budget coordination |
| 7 | Product Manager, Imaging / Vision | Product | Manager, Director | Useful target in commercial organizations translating research into products |
| 8 | Partnerships Director / Business Development Director | Partnerships / Business Development | Director, VP | Important for university-industry collaborations, licensing, and sponsored research |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Direct fit for conference-led scientific exchange and technical experimentation | Research labs, institutes, and conference participants |
| 2 | Higher Education | Universities are core participants and likely the largest attendee segment | Faculty outreach, lab software, academic partnerships |
| 3 | Information Technology & Services | Relevant for enterprise AI, systems integration, and technical services providers | Applied vision deployments and infrastructure services |
| 4 | Computer Software | Strong match for image analytics, graphics engines, and ML platforms | Developer tools, analytics software, visualization products |
| 5 | Computer Hardware | Graphics and AI workloads require compute, sensors, and acceleration hardware | GPU servers, edge devices, workstations, imaging hardware |
| 6 | Electrical/Electronic Manufacturing | Relevant to imaging systems, sensing, embedded vision, and components | Camera modules, boards, processors, embedded platforms |
| 7 | Industrial Automation | Computer vision is widely used in inspection, robotics, and automation | Machine vision systems, quality control, robotics integration |
| 8 | Consumer Electronics | Imaging, graphics, AR/VR, and multimedia applications align with consumer devices | Display systems, imaging products, multimedia interfaces |
| 9 | Automotive | Official topic areas include autonomous vehicles and drones | ADAS, perception systems, simulation, safety datasets |
| 10 | Aviation & Aerospace | Drones, remote sensing, and advanced imaging use cases are directly relevant | Aerial imaging, navigation, mapping, autonomous inspection |
| 11 | Medical Devices | Medical image processing is an official topic area | Imaging analysis, diagnostics support, visualization tools |
| 12 | Media Production | Graphics, rendering, multimedia, and content workflows overlap with media pipelines | Visualization, rendering, simulation, and content analysis tools |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website text provided | No numeric attendance stated in the source material |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website text provided | This appears to be a symposium rather than an exhibition-led event |
| Buyer count | Not publicly confirmed | Unconfirmed | Official website text provided | Buyer mix is likely research- and technology-oriented rather than procurement-heavy |
| Speaker count | Not publicly confirmed in the provided text | Unconfirmed | Official website menu includes Keynote Speakers and Invited Speakers | Named speaker organizations were not included in the supplied content |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official website text provided | No sponsor listing included in the source text |
| Historical attendance | Not available from provided official text | Historical / prior-year evidence unavailable | History links visible only | No prior-year numeric attendance supplied |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Image processing and analysis | Algorithm performance, dataset quality, filtering, segmentation, restoration | Technical demos, benchmark studies, research collaboration proposals | Analytics platforms, SDKs, imaging libraries, annotation tools |
| Computer vision and pattern recognition | Object detection, tracking, semantic understanding, 3D reconstruction | Pilot projects, applied AI use-case workshops, model deployment discussions | Vision AI software, model optimization, synthetic data, edge inference |
| Graphics and visualization | Rendering, modeling, simulation, VR/AR, GPU acceleration | Showcase rendering speed, visualization quality, and integration workflows | Graphics engines, GPU hardware, simulation tools, immersive platforms |
| Machine learning and AI | Training efficiency, model quality, explainability, domain adaptation | Architecture consultations, PoCs, data pipeline assessments | MLOps, model training infrastructure, AI development platforms |
| Multimedia systems and applications | Compression, retrieval, security, user experience, streaming | Application-focused demos and workflow modernization discussions | Media processing software, watermarking, interactive systems |
| Emerging interdisciplinary applications | Autonomous systems, robotics, drones, ethical AI, edge computing | Cross-sector partnership building and advanced R&D engagement | Edge AI, robotics vision, remote sensing, compliance-oriented AI tooling |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Relevant for technical and research buyers; weaker for traditional procurement-led sales motions |
| Decision-maker availability | Medium | Likely access to faculty leaders, research engineers, and technical evaluators rather than large enterprise procurement heads |
| Data collection potential | Low to Medium | Public participant transparency appears limited based on the provided source material |
| Apollo targeting potential | High | Thematic targeting is strong across AI, higher education, research, imaging, graphics, and applied computer vision sectors |
| Geographic targeting potential | High | Japan, Asia, and global technical research ecosystems can be segmented effectively |
| Best outreach approach | High | Use technical relevance messaging, research collaboration framing, publications alignment, and proof-of-performance content |
| Overall lead quality | Medium | High specialization but limited public attendee transparency reduces direct event-list value |
| Best use case | High | Ideal for thematic prospecting into research-led AI, computer vision, graphics, and university-industry collaboration audiences |
| Limitations / risks | High | Not ideal for guaranteed attendee-list sales without official directories; commercial conversion may depend on product technical depth |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Computer Hardware; Electrical/Electronic Manufacturing; Industrial Automation; Consumer Electronics; Automotive; Aviation & Aerospace; Medical Devices; Media Production | Build a thematic target universe aligned with conference topic areas |
| Departments | Engineering; Information Technology; Research; Product Management; Operations; Education; Business Development | Reach technical evaluators, lab leaders, and commercialization stakeholders |
| Seniority | C-Level; VP; Director; Head; Manager; Senior; Professor-equivalent where available | Focus on decision-makers and high-influence technical buyers |
| Job titles | Professor, Principal Investigator, Research Scientist, Research Engineer, Director of AI, Computer Vision Engineer, CTO, Chief Scientist, IT Director, Lab Manager, Research Computing Manager, Product Manager Imaging, Product Manager Vision, Partnerships Director | Mirror the event’s likely attendee and buyer-side influence profile |
| Geography | Japan first; then East Asia; then Southeast Asia; then global English-speaking research markets | Prioritize local-to-regional relevance before broader outbound expansion |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ for universities and large R&D institutions | Capture both specialist AI firms and large institutional buyers |
| Keywords | computer vision, image processing, image analysis, graphics, visualization, rendering, machine learning, deep learning, GAN, diffusion, semantic segmentation, 3D vision, remote sensing, multimedia, AR, VR, neural rendering, autonomous vehicles, robotics, drones | Increase precision around the official program themes |
| Technologies | GPU computing, cloud AI infrastructure, edge AI, ML frameworks, visualization stacks where technology filters are available | Refine toward implementation-ready organizations |
| Revenue range | Use broad ranges; not essential for academic targets | Revenue is less reliable for universities and research institutions |
| Company type | Educational institutions, research institutes, public-private labs, software vendors, hardware manufacturers, applied AI startups | Separate academic prospects from commercial implementation buyers |
Suggested Apollo Search Logic: ("computer vision" OR "image processing" OR "image analysis" OR "graphics" OR "visualization" OR "rendering" OR "deep learning" OR "semantic segmentation" OR "3D vision" OR "remote sensing" OR "multimedia" OR "AR" OR "VR" OR "neural rendering") AND (Professor OR "Research Scientist" OR "Research Engineer" OR "Director of AI" OR CTO OR "IT Director" OR "Lab Manager" OR "Product Manager")
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ASIG 2026 Official Website | Official event website | Confirmed official event name, dates (December 4–6, 2026), city (Kyoto), country (Japan), host institution (Ritsumeikan University), event scope, call-for-papers topics, delegate participation option, and publication pathways | High |
| ASIG 2026 Official Website Navigation | Official site structure | Verified the existence of menu sections for Speakers, Venue, Program Overview, Registration Guide, and History pages, while noting that named attendee, sponsor, or speaker organizations were not included in the supplied source text | High for structural verification; limited for named participant verification |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 the 4th Asia Symposium on Image and Graphics (ASIG 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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