added anycam proliminary

Author: DominikMuhle

_data/authors_internal.yaml

@@ -62,4 +62,8 @@ riccardomarin:
 zhenzhangye:
   first_name: Zhenzhang
   last_name: Ye
-  website: https://cvg.cit.tum.de/members/yez
+  website: https://cvg.cit.tum.de/members/yez
+weirongchen:
+  first_name: Weirong
+  last_name: Chen
+  website: https://chiaki530.github.io

_data/news.yml

@@ -1,3 +1,5 @@
+- date: March 2025
+  description: 'I am proud to be part of **two** of my colleagues work that have been accepted to **CVPR 2025**. The first paper is [AnyCam](publications/anycam) by [Felix Wimbauer](https://fwmb.github.io) and the second paper is [Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction](https://ceveloper.github.io/publications/skeletondiffusion) by [Cecilia Curreli](https://ceveloper.github.io).'
 - date: March 2024
   description: 'Happy to announce that my [students](https://keonhee-han.github.io) paper [Boosting Self-Supervision for Single View Scene Completion via Knowledge Distillation](https://keonhee-han.github.io/publications/kdbts/) was accepted to **CVPR 2024**'
 - date: November 2023

_publications/anycam/assets/architecture.pdf

@@ -0,0 +1,54 @@
+---
+layout: publications
+permalink: /publications/anycam/
+# external_link: https://ceveloper.github.io/publications/skeletondiffusion
+date: 2025_03_02 # determines sorting just take the date of the first publication as YYYY_MM_DD
+image: /assets/teaser.pdf
+image_mouseover: /assets/architecture.pdf
+# icon: /assets/favicon.ico
+
+title: "AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos"
+venue: CVPR, 2025
+authors:
+  - name: felixwimbauer
+    affiliations: "1,2"
+  - name: weirongchen
+    affiliations: "1,2"
+  - name: dominikmuhle
+    affiliations: "1,2"
+  - name: christianrupprecht
+    affiliations: "3"
+  - name: danielcremers
+    affiliations: "1,2"
+affiliations:
+  - name: tum
+    length: long
+  - name: mcml
+    length: long
+  - name: oxford
+    length: long
+
+
+description: "AnyCam is a fast transformer model that directly estimates camera poses and intrinsics from a dynamic video sequence in feed-forward fashion. Our intuition is that such a network can learn strong priors over realistic camera motions. To scale up our training, we rely on an uncertainty-based loss formulation and pre-trained depth and flow networks instead of motion or trajectory supervision. This allows us to use diverse, unlabelled video datasets obtained mostly from YouTube."
+
+links:
+    - name: Project Page
+      link: /publications/anycam/
+    # - name: Paper
+    #   link: https://arxiv.org/abs/2501.06035 
+    #   style: "bi bi-file-earmark-richtext"
+    # - name: Code
+    #   link: https://github.com/Ceveloper/SkeletonDiffusion/tree/main
+    #   style: "bi bi-github"
+
+# citation: '@article{curreli2025nonisotropic,
+#   title={Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction},
+#   author={Curreli, Cecilia and Muhle, Dominik and Saroha, Abhishek and Ye, Zhenzhang and Marin, Riccardo and Cremers, Daniel},
+#   journal={arXiv preprint arXiv:2501.06035},
+#   year={2025},
+#   url={https://arxiv.org/abs/2501.06035},
+#   eprinttype={arXiv},
+#   eprintclass={cv.CV},
+# }'
+# acknowledgements: 'This work was supported by the ERC Advanced Grant SIMULACRON. Thanks to Dr. Almut Sophia Koepke, Yuesong Shen and Shenhan Qian for the proofreading and feedback, Lu Sang for the discussion, Stefania Zunino and the whole CVG team for the support.'
+---

_publications/anycam/assets/teaser.pdf

@@ -1,14 +1,14 @@
 ---
 layout: publications
 permalink: /publications/skeletondiffusion/
-# external_link:  https://ceveloper.github.io/CeciliaCurreli.github.io//publications/skeletondiffusion/
-date: 2024_08_27 # determines sorting just take the date of the first publication as YYYY_MM_DD
+external_link: https://ceveloper.github.io/publications/skeletondiffusion
+date: 2025_03_01 # determines sorting just take the date of the first publication as YYYY_MM_DD
 image: /assets/teaser.gif
-# image_mouseover: /assets/header_vid.mp4
+image_mouseover: /assets/header_vid.mp4
 # icon: /assets/favicon.ico
 
 title: "Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction"
-# venue: preprint
+venue: CVPR, 2025
 authors:
   - name: ceciliacurreli
     affiliations: "1,2"