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Workshops

154 Events
Workshop

AI for Content Creation

James Tompkin ⋅ Krishna Kumar Singh
Wed AM 610/612
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Workshop

The 3rd AI for Visual Arts Workshop and Challenges

Deblina Bhattacharjee ⋅ Bahar Aydemir
Wed AM Mile High 4AB
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Workshop

Workshop on "Bitter Lessons"

Anand Bhattad ⋅ Aditya Prakash
Wed AM Four Seasons 4
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Workshop

The 22nd Embedded Vision Workshop

Matteo Poggi ⋅ Tse-Wei Chen
Wed AM 709
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Workshop

Generative AI for Sign Language

Hezhen Hu ⋅ Yuecong Min
Wed AM 112
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Workshop

IPA: Interactive Physical AI Workshop

Seonwook Park ⋅ Amrita Mazumdar
Wed AM 203
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Workshop

LatinX in Computer Vision Research Workshop

Francisco Lopez-Tiro ⋅ Dustin Carrión-Ojeda ⋅ Willams De Lima ⋅ Hernan Dario Benitez ⋅ Ana Maria Quintero ⋅ William de Lima
Wed AM 106
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Workshop

Multimodal Alignment for a Pluralistic Society

Perampalli Shravan Nayak ⋅ Aishwarya Agrawal
Wed AM 113
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Workshop

On Sensor Vision Workshop

Andrew J. Davison ⋅ Shinjeong Kim
Wed AM Mile High 4EF
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Workshop

2nd Workshop on Photorealistic 3D Head Avatars

Tobias Kirschstein ⋅ Simon Giebenhain
Wed AM 107
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Workshop

Women in Computer Vision

Karen Sanchez ⋅ Carla Muntean
Wed AM 708
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Workshop

The 5th Explainable AI for Computer Vision (XAI4CV) Workshop

Miguel-Ángel Fernández-Torres
Wed AM Mile High 1AB
Computer vision for high-stakes, real-world applications necessitates robust explanation and transparency to foster trust, accountability, and ethical deployment. Celebrating its 5th anniversary, the Explainable AI for Computer Vision (XAI4CV) workshop provides a premier forum for the entire spectrum of XAI research, from interpretable-by-design models to the challenges of multimodal foundation models. The program includes three invited talks, spotlight papers, a tutorial on concept-based explanations for the diagnosis and control of vision foundation models, and a poster session. XAI4CV accepts paper and demo submissions aimed at defining the future of trustworthy visual AI.
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Workshop on Vision-based Assistants in the Real-World

Apratim Bhattacharyya ⋅ Fadime Sener
Wed AM 102/104
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Workshop

Workshop on Agentic AI for Visual Media

Jinjin Gu ⋅ Lei Sun
Wed Full Day Mile High 1EF
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Workshop

Computational Cameras and Displays

Vishwanath Saragadam ⋅ Fei Xia
Wed Full Day Mile High 4CD
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Workshop

Third Joint Egocentric Vision (EgoVis) Workshop

Siddhant Bansal ⋅ Tushar Nagarajan
Wed Full Day 704/706
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Workshop

Visual General Intelligence

Hirokatsu Kataoka ⋅ Yoshihiro Fukuhara
Wed Full Day 703
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Workshop

Workshop on Autonomous Driving

Vincent Casser ⋅ Jose M. Alvarez
Wed Full Day 603
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Workshop

10th Affective & Behavior Analysis in-the-wild

Dimitrios Kollias ⋅ Panagiotis Tzirakis
Wed PM 505
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Workshop

Auto-Annotation with Expert-Crafted Guidelines

Shu Kong ⋅ Sara Beery
Wed PM 711
Machine-learned visual systems are transforming numerous fields such as autonomous driving, biodiversity assessment, and ecological monitoring, but they hunger for vast, high-quality annotated data. Asking domain experts to manually annotate large-scale data is unrealistic; the current paradigm to scale up data annotation is to have domain experts craft annotation guidelines using visual examples and descriptions for non-expert annotators to apply. This paradigm is commonly adopted by companies which provide data labeling services. Lacking domain knowledge, ordinary annotators often produce annotations that are erroneous, subjective, biased, and inconsistent. Further, this process is labor-intensive, tedious, and costly. This workshop aims to pioneer auto-annotation, developing AI agents that can interpret expert-crafted annotation guidelines and generate labels automatically. In essence, we seek to replace ordinary human annotators with AI.
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Workshop

Cognitive Foundations for Multimodal Models

Aditya Chinchure ⋅ Sahithya Ravi
Wed PM 610/612
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Workshop

Computer Vision for Biomechanics Workshop

Ethan Goan ⋅ Akila Pemasiri
PM
Wed PM 112
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Workshop

Sixth Workshop on Neural Architecture Search

Stephen McGough ⋅ Amir Atapour-Abarghouei
Wed PM 110
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Workshop

End-to-End 3D Learning

Zhiwen Fan ⋅ Dimitris Metaxas
Wed PM 501
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Workshop

Workshop on Multimodal Human Motion Analysis

Olivia Nocentini ⋅ Rishabh Dabral
Wed PM 601
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Workshop

2nd Workshop on Multimodal Sign Language Recognition

Raffaele Mineo ⋅ Hamzah Luqman
Wed AM 103
MSLR 2026 is the second edition of a rapidly growing venue on multimodal sign language recognition and translation. The program combines invited talks, a peer-reviewed track published in CVPR Workshops, and the SignEval Challenge featuring updated datasets for isolated LIS and continuous SLR. We emphasize privacy-preserving sensing (e.g., radar), healthcare accessibility, and inclusive practices with sign interpreters. Building on the success at ICCV 2025, MSLR 2026 will consolidate a global, interdisciplinary community spanning computer vision, linguistics, healthcare, and Deaf studies.
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Workshop

The 3rd MetaFood Workshop (MTF)

Yuhao Chen ⋅ Petia Radeva
Wed PM 709
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Workshop

Machine Unlearning for Vision

Alessio Sampieri ⋅ Bardh Prenkaj
Wed PM Mile High 1AB
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Workshop

Synthetic & Adversarial ForEnsics

Josué Martínez-Martínez ⋅ Pooya Khorrami
Wed PM 107
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Workshop

Spatial Intelligence for Cultural Heritage

Marina Paolanti ⋅ Roberto Pierdicca
Wed PM 708
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Workshop

3D Geometry Generation for Scientific Computing (2nd Edition)

Wuyang Chen ⋅ Marissa Ramirez de Chanlatte ⋅ Peter Yichen Chen ⋅ Chuhang Zou ⋅ Zhiwen Fan ⋅ Daniel Martin ⋅ Michael Mahoney
Thu AM 105
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Workshop

Humans of Generative AI

Jaron Mink ⋅ David Forsyth
Thu AM 710
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Workshop

Multimodal Algorithmic Reasoning Workshop

Anoop Cherian ⋅ Suhas Lohit
Thu AM 601
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Workshop

Exploring the Next Generation of Data

Nadine Chang ⋅ Maying Shen
Thu AM 603
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Workshop

6th Omnidirectional Computer Vision Workshop

Pierre Moulon ⋅ Guillaume Caron
Thu AM 711
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Workshop

Open-World Vision

Shu Kong ⋅ Neehar Peri
Thu AM 712
Open-World Vision (OWV) emphasizes realistic opportunities and challenges in developing and deploying computer vision systems in the dynamic, vast, and unpredictable real open world, which offers abundant data that can benefit training and challenge testing. It contrasts the traditional "closed-world" paradigm of visual learning and inference, which assumes fixed, known data distributions and categorical labels. Models developed under such closed-world assumptions tend to be brittle when encountering ever-changing and novel scenarios in the real open world. Modern visual learning has shifted towards an open-world paradigm, such as pretraining foundation models on massive data sourced from the open world (e.g., web-sourced data). While these models show unprecedented performance and strong adaptability to downstream tasks, they inherit biases from their open-world pretraining data and can still fail in truly novel or underrepresented scenarios during deployment. This workshop aims not only to uncover current limitations, potential risks, emerging opportunities, and unresolved challenges of open-world vision, but also to solicit solutions that advance the field toward more robust, fair, and adaptable visual systems.
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Workshop

Personalization in Generative AI Workshop

Pinar Yanardag ⋅ Nupur Kumari
Thu AM Mile High 4CD
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Workshop

PhysHuman: Physically Grounded Human Perception and Modeling

Feng Liu ⋅ Youngjoong Kwon ⋅ Cheng Zhang
Thu AM 110
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Workshop

Safe Artificial Intelligence for All Domains

Oliver Wasenmüller ⋅ Markus Enzweiler
Thu AM 103
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Workshop

Unified Robotic Vision with Cross-Modal Sensing and Alignment

Zongwei Wu ⋅ Christos Sakaridis
Thu AM Mile High 4AB
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Workshop

4th Workshop on Maritime Computer Vision

Benjamin Kiefer ⋅ Jon Muhovic
Thu AM Mile High 1AB
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Workshop

2nd Workshop on Agents in Interaction, from Humans to Robots

Yufei Ye ⋅ Homanga Bharadhwaj
Thu Full Day Mile High 2A
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Workshop

How Do Vision Models Work?

Tamar Rott Shaham ⋅ Amil Dravid
Thu Full Day Mile High 1EF
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Workshop

2nd Workshop on Video Large Language Models

Rohit Gupta ⋅ Sirnam Swetha
Thu Full Day Four Seasons 4
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Workshop

Workshop on Visual Concepts

Joy Hsu ⋅ R. Kenny Jones
Thu Full Day 501
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Workshop

Sight and Sound

Andrew Owens ⋅ Jiajun Wu
Thu Full Day Mile High 1CD
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Workshop

1st Workshop on Generative 3D Reconstruction

Daniel Barath ⋅ Fabian Manhardt
Thu PM 603
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Workshop

4D Digital Twins: Real-to-Sim-to-Real for Physical AI

Amrita Mazumdar ⋅ Tianye Li
Thu PM Mile High 2C
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Workshop

Artificial Intelligence for Space

Daniele Gammelli ⋅ Gabriele Meoni
Thu PM 710
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Workshop

2nd Workshop on GenAI for Storytelling

Andrew Shin ⋅ Yusuke Mori
Thu PM 105
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Workshop

Appearance Understanding and Generation

Elena Garces ⋅ Giuseppe Vecchio
Thu PM Mile High 4AB
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Workshop

Big Model Adaptation In Computer Vision

Yuki Asano ⋅ Anna Kukleva
Thu PM Four Seasons 2
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Workshop

CVPR 2026 Biometrics Workshop

Bir Bhanu ⋅ Ajay Kumar
Thu PM 106
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Workshop

The 7th International Workshop on Eye and Gaze in Computer Vision

Yihua Cheng ⋅ Seonwook Park ⋅ Hyung Jin Chang
Thu PM 711
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Workshop

Second Workshop on Skilled Activity Understanding, Assessment & Feedback Generation

Paritosh Parmar ⋅ Brendan Morris
Thu PM 705/707
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 CVPR 2026 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.
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