Add ECCV 2026 FOUND workshop announcement

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 www.meethawaii.com/convention-center/
 
+# connpass event pages currently return 403 to GitHub Actions / lychee,
+# while the event pages remain useful as historical source links.
+^https://[^/]+\.connpass\.com/event/[0-9]+/?$
+
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content/news/acceptance-to-eccv2026-found-workshop/index.md

@@ -0,0 +1,38 @@
+---
+# Documentation: https://docs.hugoblox.com/managing-content/
+
+title: "Accepted our Workshop Proposal on Foundation Data to ECCV 2026"
+subtitle: ""
+summary: ""
+authors: ["Yoshihiro Fukuhara", "Hirokatsu Kataoka", "Shunsuke Kitada", "Püren Güler", "Risa Shinoda", "Shashanka Venkataramanan", "Jan-Nico Zaech", "Keisuke Tateno", "Koichiro Yamaguchi", "Masaki Inaba", "Hina Otake"]
+tags: ["News", ECCV, ECCV2026]
+categories: ["News"]
+date: 2026-07-12T00:00:00+09:00
+lastmod: 2026-07-12T00:00:00+09:00
+publishDate: 2026-07-12T00:00:00+09:00
+featured: false
+draft: false
+
+# Featured image
+# To use, add an image named `featured.jpg/png` to your page's folder.
+# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
+image:
+  caption: ""
+  focal_point: ""
+  preview_only: false
+
+# Projects (optional).
+#   Associate this post with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
+#   Otherwise, set `projects = []`.
+projects: []
+---
+
+Our workshop proposal for the 2nd FOUND Workshop, ["FOUND: Foundation Data for Industrial Tech Transfer @ ECCV 2026"](https://eccv2026-found-workshop.limitlab.xyz/), has been accepted at ECCV 2026. The workshop will be held on the morning of September 9, 2026, in Malmö, Sweden, in conjunction with ECCV 2026.
+
+> [More Information about the Workshop](/post/eccv2026-found-workshop/)
+
+This workshop builds on the FOUND Workshop accepted at ICCV 2025 and continues the discussion on Foundation Data, domain-grounded datasets, and practical tech transfer for foundation models. The ECCV 2026 edition places a particular focus on Physical AI and World Models, along with robustness under domain shift, out-of-distribution conditions, and long-tail distributions.
+
+{{< blogcard url="https://eccv2026-found-workshop.limitlab.xyz/" >}}

content/post/eccv2026-found-workshop/index.md

@@ -0,0 +1,74 @@
+---
+# Documentation: https://docs.hugoblox.com/managing-content/
+
+title: "FOUND: Foundation Data for Industrial Tech Transfer @ ECCV 2026"
+subtitle: "ECCV 2026 Workshop https://eccv2026-found-workshop.limitlab.xyz/"
+summary: "The 2nd FOUND Workshop at ECCV 2026 focuses on Foundation Data for Industrial Tech Transfer, with emphasis on domain-grounded data, robustness under domain shift, Physical AI, and World Models."
+authors: ["Yoshihiro Fukuhara", "Hirokatsu Kataoka", "Shunsuke Kitada", "Püren Güler", "Risa Shinoda", "Shashanka Venkataramanan", "Jan-Nico Zaech", "Keisuke Tateno", "Koichiro Yamaguchi", "Masaki Inaba", "Hina Otake"]
+tags: ["Workshop", "ECCV", "ECCV2026", "Foundation Data", "Physical AI", "World Models"]
+categories: ["Workshop", "ECCV", "ECCV2026"]
+date: 2026-07-12T00:00:00+09:00
+lastmod: 2026-07-12T00:00:00+09:00
+publishDate: 2026-07-12T00:00:00+09:00
+featured: false
+draft: false
+
+# Featured image
+# To use, add an image named `featured.jpg/png` to your page's folder.
+# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
+image:
+  caption: "https://limitlab.xyz/"
+  focal_point: ""
+  preview_only: false
+
+# Projects (optional).
+#   Associate this post with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
+#   Otherwise, set `projects = []`.
+projects: []
+---
+
+We are happy to announce that our workshop proposal for the 2nd FOUND Workshop, ["FOUND: Foundation Data for Industrial Tech Transfer @ ECCV 2026"](https://eccv2026-found-workshop.limitlab.xyz/), has been accepted! The workshop will be held on the morning of September 9, 2026, in Malmö, Sweden, in conjunction with ECCV 2026.
+
+This workshop follows the [FOUND Workshop accepted at ICCV 2025](/post/iccv2025-found-workshop/) and continues the discussion on Foundation Data: domain-grounded data designed to bridge academic progress in foundation models and practical impact in real-world deployments.
+
+{{< figure src="eccv2026-found-workshop-flyer.png" alt="ECCV 2026 FOUND Workshop flyer" caption="ECCV 2026 FOUND Workshop flyer" link="https://eccv2026-found-workshop.limitlab.xyz/" >}}
+
+> ## About FOUND Workshop
+>
+> Foundation models have pushed computer vision forward, but their reliability often drops in real-world, domain-specific deployments due to long-tail distributions, domain shift, and operational constraints such as privacy, safety, and cost. Closing this gap requires not only better models, but also domain-tailored datasets that capture rare yet critical corner cases and realistic variability.
+>
+> Building on the first FOUND workshop, we refer to this missing piece as Foundation Data: fine-grained, domain-grounded data designed to bridge academic progress and practical impact. FOUND is organized around two coupled pillars, Foundation Data creation and practical tech transfer, with a key focus on Physical AI and World Models.
+
+## Topics of Interest
+
+The workshop focuses on the following topics:
+
+- Foundation Data creation: collection, curation, and labeling for non-Internet and domain-specific settings
+- Self-supervised, semi-supervised, and weakly-supervised learning for domain-grounded data
+- Synthetic and simulation data for bridging domain gaps and covering rare corner cases
+- Robustness under domain shift, out-of-distribution conditions, and long-tail distributions in industrial deployments
+- Physical AI and World Models: data and transfer strategies for embodied and interactive systems
+- Deployment-aligned evaluation protocols and responsible data governance for real-world AI
+
+## Keynote Speakers
+
+The ECCV 2026 edition will feature the following keynote speakers:
+
+- [Iro Armeni](https://cee.stanford.edu/people/iro-armeni), Stanford University
+- [Mark Pollefeys](https://people.inf.ethz.ch/pomarc/), ETH Zurich / Microsoft Mixed Reality and AI Lab
+- [Amir Bar](https://amirbar.net/), Imperial College London / AMI Labs
+- [Anastasia Varava](https://sebgroup.com/career/working-at-seb/meet-our-employees/meet-employees-in-tech-and-data/anastasia-varavas), SEBx / Link
+
+## Call for Nominations
+
+Unlike a standard peer-reviewed call for papers, this workshop uses a self-nomination and curatorial invitation format. Nominated work is reviewed openly by the organizing committee for topical fit, potential to spark discussion, and overall balance of the poster session.
+
+Selected work will be presented at the workshop poster session, with at least one presenter attending ECCV 2026 in person. Invitations do not come with official publication or Springer proceedings. Only presentation titles and presenter names will appear on the workshop website; abstracts and posters stay within the workshop audience.
+
+The nomination form is open until August 19, 2026, 23:59 AoE.
+
+{{< blogcard url="https://forms.gle/RGLWnKD26vofxohN9" >}}
+
+{{< blogcard url="https://eccv2026-found-workshop.limitlab.xyz/" >}}

content/post/iccv2025-found-workshop/index.md

@@ -1,12 +1,12 @@
 ---
 # Documentation: https://docs.hugoblox.com/managing-content/
 
-title: "Foundation Data for Industrial Tech Transfer"
+title: "FOUND: Foundation Data for Industrial Tech Transfer @ ICCV 2025"
 subtitle: "ICCV 2025 Workshop https://iccv2025-found-workshop.limitlab.xyz/"
-summary: "https://iccv2025-found-workshop.limitlab.xyz/"
+summary: "The FOUND Workshop at ICCV 2025 focused on Foundation Data for Industrial Tech Transfer, highlighting data-centric methods, robust dataset construction, and practical adaptation of foundation models to real-world domains."
 authors: ["Yoshihiro Fukuhara", "Hirokatsu Kataoka", "Püren Güler", "Shunsuke Kitada", "Xavier Boix", "Dan Hendrycks", "Keisuke Tateno", "Shinichi Mae", "Tatsuya Komatsu", "Nishant Rai", "Ryo Nakamura", "Risa Shinoda", "Takahiro Itazuri", "Yoshiki Kubotani", "Guarin Flück", "Wadim Kehl", "Kazuki Kozuka"]
-tags: ["Workshop", "ICCV2025"]
-categories: ["Workshop", "ICCV2025"]
+tags: ["Workshop", "ICCV", "ICCV2025", "Foundation Data", "Foundation Models", "Tech Transfer"]
+categories: ["Workshop", "ICCV", "ICCV2025"]
 date: 2025-09-27T03:13:47Z
 lastmod: 2025-09-27T03:13:47Z
 featured: false
@@ -28,7 +28,7 @@ image:
 projects: []
 ---
 
-We are happy to announce the ICCV 2025 workshop “FOUND: Foundation Data for Industrial Tech Transfer” has been accepted! This workshop will be held in conjunction with ICCV 2025, one of the top conferences in computer vision. The workshop will highlight the critical role of data in building foundation models, with a particular focus on robust dataset construction and industry-driven applications.
+We are happy to announce that our workshop proposal for the FOUND Workshop, ["FOUND: Foundation Data for Industrial Tech Transfer @ ICCV 2025"](https://iccv2025-found-workshop.limitlab.xyz/), has been accepted! This workshop will be held in conjunction with ICCV 2025, one of the top conferences in computer vision. The workshop will highlight the critical role of data in building foundation models, with a particular focus on robust dataset construction and industry-driven applications.
 
 > ## About FOUND Workshop
 >