Call for Papers – Marrakesh, Morocco, April 26–30, 2027

IEEE FG 2027

The 21st IEEE International Conference on Automatic Face and Gesture Recognition

Marrakesh, Morocco
April 26–30, 2027

https://fg2027.ieee-biometrics.org

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The IEEE International Conference on Automatic Face and Gesture Recognition (FG) is the premier international forum for research on image- and video-based face, gesture, and body behavior analysis and recognition. Its broad scope encompasses advances in computer vision, pattern recognition, machine learning, computer graphics, and related areas, as well as innovative methods and applications involving faces, gestures, human behavior, and body movements.

The 21st IEEE International Conference on Automatic Face and Gesture Recognition (FG 2027) marks an important milestone in the history of the conference series, as it will be held in Africa for the first time.

FG 2027 will take place April 26–30, 2027, in Marrakesh, Morocco, as a fully in-person event. We invite submissions addressing both foundational and emerging research topics in face, gesture, body, and human behavior analysis and recognition.

Important Dates — All deadlines are Anywhere on Earth (AoE)

  • Abstract submission: October 9, 2026
  • Paper submission: October 16, 2026
  • Author notification: December 20, 2026
  • Camera-ready paper: January 26, 2027
  • Author registration deadline: January 26, 2027
  • Conference: April 26–30, 2027

Topics of Interest Include, but Are Not Limited To

  • Face, gesture, and body detection and tracking
  • Robust recognition under varying conditions, including pose, occlusion, and illumination
  • Generative modeling and neural rendering, including deepfakes and AR/VR
  • Advanced learning paradigms, including self-supervised learning, few-shot learning, and foundation models
  • Soft biometrics and behavioral analysis, including emotion, personality, and demographic attributes
  • Multimodal fusion and cross-modal analysis
  • Benchmark development and dataset creation
  • Cognitive and bio-inspired vision systems
  • Bias mitigation, interpretability, fairness, privacy, and ethical considerations
  • Real-world applications and deployment studies

Submission

IEEE FG 2027 will follow a one-round review process.

For submission guidelines and further details, please visit:

https://fg2027.ieee-biometrics.org/call-for-papers/

We would greatly appreciate it if you could circulate this Call for Papers among potentially interested colleagues, researchers, and students.

We look forward to welcoming you to Marrakesh for IEEE FG 2027!

 

DTISO CFP: The IEEE co-sponsored International Conference on Digital Transformation and Intelligent SOciety, 17 – 20 November 2026 | Barcelona, Spain

NEmo 2026 @ NeurIPS Symbolic Embodied Intelligence (deadline 10 Sept)

Dear all,

We are pleased to announce NEmo 2026: Neuro-Symbolic Embodied Intelligence, a workshop at NeurIPS 2026, taking place on December 12, 2026 in Sydney, Australia.

NEmo focuses on long-lived autonomous agents that perceive, reason, plan, learn and adapt over extended interactions in physical or richly simulated environments. Perception is where much of this is decided: how the output of learned vision becomes something an agent can reason over, how those symbols stay grounded as the scene changes, and what happens when the perceptual commitment was simply wrong.

Topics of interest include:

  • combining learned perception, reinforcement learning and large language models with planning and structured symbolic knowledge
  • grounding and shared semantics
  • memory over long horizons
  • affordances
  • recovery from failed assumptions

We accept ongoing and already published work as well as new contributions.

Important dates

  • Submission deadline: September 10, 2026
  • Workshop date: December 12, 2026

Website: https://nemo.semantic.review
OpenReview: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/NEmo

Best,
The NEmo 2026 Organizing Committee

Special Issue: Information Theory and Large Language Models

Dear all,
We are excited to announce the Special Issue “Information Theory and Large Language Models” in Entropy (MDPI, ISSN 1099-4300), affiliated with the section “Information Theory, Probability and Statistics”. For full details, please visit the official special issue page:

About this Special Issue

The rapid development of large language models (LLMs) calls for solid theoretical foundations to tackle core challenges including scalability, interpretability, and robustness. Information theory provides powerful analytical frameworks for AI data processing and system optimization, yet its integration into modern LLM research remains insufficiently explored.
This Special Issue aims to fill this gap, welcoming innovative theoretical research and novel algorithms that leverage information theory to advance the capability and interpretability of LLMs, promoting interdisciplinary innovation in this fast-growing field.

Important Dates

* 15 November 2026: Manuscript submission deadline * Rolling publication: Accepted papers will be published online continuously upon approval

Topics of Interest

We welcome original research and review papers covering (but not limited to):
1. Information-theoretic foundations of LLMs 2. Memory and retrieval mechanisms in LLMs 3. Reinforcement learning and LLM reasoning 4. Generalization bounds for LLM training 5. Uncertainty quantification and hallucination detection in LLMs 6. Multimodal LLM information fusion 7. Energy-efficient LLMs via information-theoretic optimization 8. LLM watermarking technologies 9. Large language model compression algorithms
On behalf of the Guest Editors: Dr. Xueyan Niu, Prof. Dr. Jun Chen, Dr. Bo Bai

SNAMS 2026: The IEEE co-sponsored 13th Conference on Social Networks Analysis, Management and Security, 17 – 20 November 2026 | Barcelona, Spain

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