CVPR 2026 Workshop (CVMI) – Multimodal Microscopy | Deadline March 12

We invite submissions to the 11th CVPR Workshop on Computer Vision for Multimodal Microscopy Image Analysis (CVMI), held in conjunction with CVPR 2026.

Submission deadline: March 12, 2026 (Anywhere on Earth)

The workshop targets the computer vision and machine learning community, with an emphasis on methodological advances for multimodal microscopy and omics data. Topics of interest include but are not limited to:

  • Deep learning and computer vision methods for microscopy image analysis
  • Multimodal, multi-scale, and representation learning (including foundation models)
  • Self-supervised and weakly supervised learning

Accepted papers will be published in the CVPR workshop proceedings and made available via IEEE Xplore and the CVF website.

Workshop website:
https://cvmi-workshop.github.io/callForPaper.html
Submission instructions:
https://cvmi-workshop.github.io/submission.html

Best regards,
Mei

AI in Healthcare Conference, 26-28 August, Imperial College London

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
26 – 28 August 2026, Imperial College London, UK
(2nd Call for Papers)
Deadline: 10 April 2026
Submission to AIiH 2026 is now open, with submission deadline the 10th of April 2026. AIiH 2026 is a single-track conference with oral and poster presentations and will include four keynote presentations and one conference tutorial on translation. This third edition will be hosted in Imperial College London. 
Authors are invited to submit full-length high-quality papers in both theory and/or application areas that are closely relevant to the conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Submissions for special sessions are also welcomed. Special session papers are reviewed in the same way as main sessions (double blind review for full papers and the same page limit) and papers are included in the proceedings for accepted full papers.
AIiH 2026 also features 8 Special Sessions, which covers a wide range of topics that deserve special interests.
Full papers will be published in the Springer LNCS proceedings.
AIiH 2026 also welcomes short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. Abstracts will be archived with DOIs.
1. ABOUT THE CONFERENCE
AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare.
In September 2025, we welcomed delegates from 27 different countries to attend this second edition of the International Conference on Artificial Intelligence in Healthcare (AIiH 2025), which is hosted in September 2025 in the Jesus College, University of Cambridge, UK. A total of 83 full-length papers (12 pages plus to 2 pages of references) and 102 short abstracts (up to 5 pages in length) were received by the April deadline. AIiH 2025 continued to adopt the double-blind peer review policy for full-length papers. Each paper received at least 3 reviews, with an average of 3.6 reviews. Abstracts received 2 or 3 expert reviews per submission. A total of 60 full-length papers were selected for publication in the proceedings and 46 abstracts (excluding late-breaking abstracts) are digitally archived online with DOIs. Contributing authors are from 27 countries, which reflects the international nature of the conference. The best paper and best poster prizes were selected and awarded at the conference. 
More details of the previous editions can be found here: https://aiih.cc/aiih-2025-overview/ and https://aiih.cc/aiih-2024/
2. TOPICS OF INTEREST
The conference welcomes submissions of novel research work in the following areas, but not limited to:
– Ethics of AI in Healthcare
– Predictive Analytics in Healthcare
– AI driven proactive care and predictive intervention
– AI driven early diagnosis and prevention
– Machine and deep learning approaches for health data
– Medical signal and image processing
– AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)
– Digital and virtual pathology / neurology
– AI in Pharmacology: drug discovery and drug development
– AI driven Digital Twinning in Oncology/Medicine
– Precision Medicine and AI
– AI for drug screening and discovery
– AI led personalised healthcare
– AI-aided large-scale cohort data analyses
– Patient-centred AI design
– Assisted living technology
– Healthcare workflow optimisation and automation
– AI driven robotics for healthcare
– AI in mental health
– Patient data and privacy
– AI in proactive health management
3. KEYNOTE SPEAKERS
Prof. Mihaela van der Schaar
University of Cambridge
Prof. Alejandro Frangi 
University of Manchester
Prof. Huiru Zheng
Ulster University
Prof. Michael Lones
Heriot-Watt University
4. CONFERENCE TUTORIAL
Prof. Stephen Smith
University of York
Tutorial Title: “Translating AI in Clinical Practices”
5. SPECIAL SESSIONS
– Multimodal Generative AI in Healthcare
– Intelligent Systems & Robotics for Advanced Healthcare Solutions
– Trustworthy AI for Healthcare in Resource-Constrained Settings
– From Explainability to Accountability
– Ambient Assisted Living Technology for Personalised Healthcare
– Hyperspectral Imaging–Enabled AI for Clinical Diagnosis
– AI Innovations in Autism Diagnosis
– AI & Data Science for Digital Biomarkers
6. IMPORTANT DATES
Full Paper submission deadline:           Friday 10 April 2026
Author notification:                Monday 25 May 2026
Author registration deadline:       Tuesday 16 June 2026
Early registration deadline:        Monday 13 July 2026
Main conference:              Wednesday 26 – Friday 28 August 2026
7. KEY ORGANISERS
CONFERENCE CO-CHAIRS
Prof. Hao Ni, University College London, UK
Prof. Xianghua Xie, Swansea University, UK
Dr. Daniele Cafolla, Swansea University, UK
CLINICIANS & MEDICAL STUDENTS ENGAGEMENT OFFICER
Dr Duaa Alim, Imperial College London, UK
8. CONTACT

Call for Papers – GREEN-PR Workshop @ ICPR 2026

Dear colleagues,

We are pleased to announce the workshop
GREEN-PR: Sustainable Pattern Recognition & Pattern Recognition for Environment,
which will be held in conjunction with the 
26th International Conference on Pattern Recognition (ICPR 2026) in Lyon, France.

Website


Workshop Scope

The GREEN-PR workshop aims to bring together researchers and practitioners working on sustainable approaches to pattern recognition as well as pattern recognition techniques applied to environmental challenges.

Topics of interest include, but are not limited to:


Sustainable Pattern Recognition

  • Energy-efficient and low-carbon pattern recognition methods
  • Green AI and sustainable machine learning for pattern recognition
  • Model compression, pruning, quantization, and efficient architectures
  • Resource-aware learning (computation, memory, energy)
  • Life-cycle assessment of pattern recognition and AI systems
  • Benchmarking and metrics for sustainability in pattern recognition
  • Sustainable data acquisition, annotation, and management
  • Federated, distributed, and edge learning for sustainable PR
  • Responsible and environmentally conscious AI methodologies

Pattern Recognition for Environment

  • Pattern recognition for environmental monitoring and protection
  • Remote sensing, satellite and aerial imagery analysis
  • Biodiversity monitoring and species recognition
  • Climate, weather, and environmental data analysis
  • Pattern recognition for pollution detection and assessment
  • Earth observation and geospatial data analysis
  • Environmental change detection and long-term monitoring
  • Pattern recognition for natural hazards and disaster management
  • AI for agriculture, forestry, and ecosystem management

Cross-Cutting Topics

  • Sustainability-aware benchmarks and datasets
  • Explainable and trustworthy pattern recognition for environmental applications
  • Ethical, societal, and policy aspects of sustainable PR
  • Case studies and real-world deployments
  • Interdisciplinary approaches combining pattern recognition, environmental science, and sustainability

Important Dates

  • Paper submission deadline: May 3rd 2026
  • Notification of acceptance: June 20th 2026
  • Camera-ready papers due: July 31st 2026
  • Workshop date: August 21st 2026

(All reviewing and final decisions will be completed before the university summer closure.)

We warmly encourage you to submit your work and to share this call with interested colleagues.

Best regards,

Noémie Debroux
Laure Tougne Rodet

Antoine Vacavant
On behalf of the GREEN-PR Organizing Committee

AVSS2026 – Call for Workshop Proposals

AVSS 2026: 22nd International Conference on Advanced Visual and Signal-Based Systems
Workshop Day: August 31, 2026 | Lecce, Italy

Workshop Proposal Submission Deadline: March 30, 2026

Notification of Acceptance: Rolling basis (evaluated upon arrival, notification within a few days)

Workshop Camera-Ready Paper Deadline: July 1, 2026

Workshop Day: August 31, 2026


The organizers of the 2026 International Conference on Advanced Visual and Signal-Based Systems (AVSS) are pleased to invite proposals for workshops to be held on August 31, 2026, in Lecce, Italy. Workshops will precede the main conference (September 1-3) and are designed to explore specific challenges and emerging topics in the field, fostering dynamic discussion and community building.

We encourage submissions on new, interdisciplinary, or application-oriented topics that bridge advances in multimedia and signal-based systems with other research areas.

Scope and Topics


Workshop proposals on all topics related to visual and signal-based systems are welcome. Areas of interest include, but are not limited to:

Sensor-Centric: Smart Cameras, Deep Learning at the Edge, Multi-modal Sensors, IoT for Surveillance.

Processing-Centric: Action & Activity Recognition, Anomaly Detection, Person & Object Re-identification, Multi-target Tracking, Biometrics.

System-Centric: UAV-based Systems, Autonomous Systems, Large-Scale Monitoring, Crowd Analysis, Privacy-Enhancing Technologies, AI Ethics.

Application-Centric: Urban Mobility & Traffic Management, Security and Public Safety, Behavioral Analysis, Industrial Surveillance.

Submission Guidelines


Proposals should be submitted as a single PDF file (max 4 pages) and must include the following sections:

  1. Title and Acronym
  2. Abstract (up to 200 words)
  3. Topics and Relevance
  4. Workshop Format (full/half day, tentative schedule)
  5. Organizing Committee (names, affiliations, bios, relevant experience)
  6. Tentative Program Committee
  7. Publicity Plan
  8. Past History (if applicable)
  9. Anticipated Attendance
  10. Special Requirements (any logistical/technical needs)


Organizer Responsibilities & Conference Support


AVSS 2026 will provide: logistical support, registration management, and meeting space.

Workshop organizers are responsible for: setting up a workshop website, issuing their own call for papers, managing the review process, and creating the final program.

To be published by IEEE, organizers must ensure all accepted papers meet quality standards and adhere to the publication schedule.

Submission and Contact


Please submit your proposal and direct any inquiries to the AVSS 2026 Workshop Co-Chairs:

Giovanni Maria Farinella, University of Catania: giovanni.farinella@unict.it

Marco Leo, National Research Council of Italy: marco.leo@cnr.it

Conferences: CV4Edu@CVPR CfP

Hi all,

We are excited to invite submissions to CV4Edu, an interdisciplinary workshop at CVPR 2026 in Denver, bringing together researchers in AI in education, computer vision, and human-centered AI.

The workshop focuses on multimodal perception in classrooms and the challenges of building interpretable, reliable, and privacy-aware AI systems for modeling engagement, self-regulation, and collaboration in real learning environments. 

We welcome work on multimodal modeling, behavioral forecasting, cognitive state inference, privacy-aware benchmarks, real-world deployments, multimodal learning, CV “in the wild”, etc. — as long as the paper makes a clear link to education or learning environments (even if that’s primarily in the discussion), e.g., by indicating applicability beyond benchmark datasets/tasks and explaining potential relevance in noisy educational settings.


Formats: Full, short, or position papers (archival/non-archival in CVPR Style) 

Submission deadline: March 12, 2026

Website: https://cv4edu.github.io/

We hope you’ll join us.

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