ICCV 2025 Workshops | SAUAFG: Skilled Activity Understanding, Assessment and Feedback Generation

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 ICCV 2025 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.

Date & Timings: October 19, 2025 | 13:45–18:00 (Afternoon session)

Venue: Hawaii Convention Center, Room 318-A

Speakers

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.

Decisions: July 15, 2025

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. Supplementary material is allowed. We will follow single-stage review process--we will not have rebuttal stage. Tentative Submission Deadline is: July 03, 2025. Camera-ready dealine: August 10,2025.

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. Supplementary material is allowed. We will follow single-stage review process--we will not have rebuttal stage. Tentative Submission Deadline is: July 03, 2025. We may consider opening Round 2 for Non-Proceedings Track after Round 1 review. More details to follow.

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

Workshop Program

Time	Program
13:45 – 14:00	Opening Remarks
14:00 – 14:30	Keynote-1 + QA: Dr. Kristen Grauman — Topic: Show and Tell: Skill Learning from Video
14:30 – 15:00	Keynote-2 + QA: Dr. Ehsan Adeli — Topic: Multimodal Perception and Generation of Human Behaviors
TBD	Lightning Talks
15:00 – 16:00	Tea Break + Poster Session
16:00 – 16:30	Keynote-3 + QA: Dr. Rogerio Nespolo — Topic: AI for the Operating Room: From Surgical Activity Recognition to Skill Assessment and Feedback
16:30 – 17:00	Keynote-4 + QA: Dr. Gedas Bertasius — Topic: Can AI Models Teach You to Shoot Like Steph Curry? 🏀 Challenges in Expert-Level Skill Analysis
17:00 – 17:30	Keynote-5 + QA: Dr. Walterio Mayol-Cuevas — Topic: From Skill to Struggle: Datasets and Recent Work Towards Understanding When to Offer Help
17:30 – 18:00	Keynote-6 + QA: Dr. Antonino Furnari — Topic: From Observation to Intervention: Mistake Detection and Procedural Assistance in Egocentric Vision
18:00 – 18:15	Closing Remarks