SAUAFG Workshop ICCV 2025

Introduction

Imagine a world where computer vision-based systems can analyze a video of an athlete, a surgeon, a patient, or a factory worker and instantly provide expert-level actionable feedback---correcting techniques, identifying inefficiencies, and helping people refine their skills in real time. Thanks to rapid progress in video understanding, this vision is becoming reality. AI-powered systems can now analyze complex human activities, assess performance, and generate intelligent feedback, unlocking new possibilities in sports, healthcare, manufacturing, education, rehabilitation, and beyond. Through Expert Keynotes and Invited Contributions, this workshop will explore the cutting edge of skilled activity understanding, assessment, and feedback generation, bridging research and real-world applications.

As AI systems become more capable of understanding human expertise, the implications are profound---empowering individuals with personalized coaching, democratized skill development, and scalable training solutions. We invite researchers, industry leaders, and practitioners to join us in shaping the future of AI-powered skill understanding. Whether working on foundational research, applied solutions, or real-world deployment, this workshop is an opportunity and forum to learn about and push the boundaries of how AI perceives, evaluates, and enhances human ability.

Speakers

Dr. Kristen Grauman (UT Austin + FAIR)

Dr. Antonino Furnari (University of Catania)

Dr. Rogerio Garcia (Intuitive Surgical)

Dr. Ehsan Adeli (Stanford University)

Call for Papers

We invite contributions related to, but not limited to, the following areas:

Algorithms & Applications for Skilled Human Activity and Performance Assessment
- Human Skills/Performance/Action Quality Assessment/Evaluation in various domains such as Sports, Industry/Assembly line, Musical and Dance performance, Surgical procedures, Fitness, Robotics, Gait Assessment, Rehabilitation, Healthcare etc.
- Action and Process Mistake Detection using video and video analytics
- Missing Action Prediction and Alternative Action Sequence Prediction.
- Brave new ideas and novel applications of Action Quality Assessment in: Video Generation, Human-Robot-Collaboration, Robot Skills Learning etc.
Feedback Report Generation for Skills/Performance Improvement & Guidance
- Captioning and Narration for Natural Language Corrective Feedback Generation
- Visual/AR/VR-based Corrective Feedback Generation
New Datasets & Benchmarks
- Datasets and Benchmarks
- Multimodal, Multiview datasets
- Creation of Synthetic Fine-grained Action datasets
- Fine-grained Video/Action generation
Metric learning for Skills/Action/Motion Quality Assessment
Fine-grained Action Recognition & Segmentation
Representation Learning & Learning Paradigms
- Pose Estimation and Human-Centric Representation Learning, especially, suitable for challenging scenarios such as high-speed, non-regular actions, occlusions, etc.
- Generalization/Transfer Learning/Domain Adaptation for SAUAFG
- Semi/Self-Supervised Learning for SAUAFG
- Continual/Incremental Skills and Action Quality Assessment
- Incorporation of Knowledge Graphs
- Learnable Task Graphs
Explainability & Interpretability in SAUAFG models
Ethics & Fairness in SAUAFG
- Ethical Considerations, Fairness, and Bias in SAUAFG systems, and strategies to mitigate them.
- Social Impact of SAUAFG, including its ability to democratize access to training and Performance Evaluations, particularly in underserved communities.

Paper Submission

We have following two Paper Tracks. Please use this [Openreview Link] to submit your papers, and select the appropriate track in OpenReview. We recommend you to use Institution emails to register your account on Openreview, as non-institution emails can take upto 2 weeks to register.

1) Proceedings Track. Papers accepted to this track will be published in the official proceedings. Please use ICCV paper templates. Page limit, excluding references, is 8 pages. Please strictly follow ICCV paper guidelines. Tentative Deadline is: July 01, 2025.

2) Non-Proceedings Track. These papers would be presented at the workshop, but not included in the proceedings and can also be submitted to future venues. We also invite papers previously accepted to ICCV 2025 or any other venues. This tracks allows to share your work and receive feedback on your work, making it stronger. Work-in-Progress or Late breaking work providing provocations for new work and ideas to emerge, with or without an accompanying evaluation, can also be submitted. Tentative Deadline is: July 01, 2025.

Please let us know if you face any problems or have any questions.

ICCV 2025 Workshop on AI-driven Skilled Activity Understanding, Assessment & Feedback Generation

Introduction

Speakers

Call for Papers

Paper Submission

Workshop Program

Organizers

Contact

Program
Opening Remarks
Keynote-1 + QA
Keynote-2 + QA
Tea break + Poster Session
Keynote-3 + QA
Keynote-4 + QA
Closing Remarks