added lightspeed paper

Author: DominikMuhle

_data/authors_internal.yaml

@@ -50,4 +50,12 @@ tarunyenamadra:
 mariiagladkova:
   first_name: Mariia
   last_name: Gladkova
-  website: https://cvg.cit.tum.de/members/gladkova
+  website: https://cvg.cit.tum.de/members/gladkova
+reginehartwig:
+  first_name: Regine
+  last_name: Hartwig
+  website: https://reginehartwig.github.io
+riccardomarin:
+  first_name: Riccardo
+  last_name: Marin
+  website: https://ricma.netlify.app

_publications/lightspeed/index.md

@@ -0,0 +1,56 @@
+---
+layout: publications
+permalink: /publications/lightspeed/
+external_link: https://reginehartwig.github.io/publications/lightspeed/
+date: 2024_12_01 # determines sorting just take the date of the first publication as YYYY_MM_DD
+image: assets/teaser.png
+image_mouseover: assets/header_vid.png
+
+title: "Lightspeed Computation of Geometry-aware Semantic Embeddings"
+venue: TBD, 2025
+authors:
+  - name: reginehartwig
+    affiliations: "1,2"
+  - name: dominikmuhle
+    affiliations: "1,2"
+  - name: riccardomarin
+    affiliations: "1,2"
+  - name: danielcremers
+    affiliations: "1,2"
+
+affiliations:
+  - name: tum
+    length: short
+  - name: mcml
+    length: long
+
+
+description: "A novel, optimal-transport based learning method to solve the challenge of matching semantically similar parts distinguished by their geometric properties, e.g., left/right eyes or front/back legs. It is faster and outperforms previous supervised methods in terms of semantic matching and geometric understanding."
+
+
+links:
+    - name: Project Page
+      link: https://reginehartwig.github.io/publications/lightspeed/
+    # - name: Paper
+    #   link: https://arxiv.org/abs/2404.07933
+    #   style: "bi bi-file-earmark-richtext"
+    # - name: Code
+    #   link: https://github.com/keonhee-han/KDBTS
+    #   style: "bi bi-github"
+
+
+# citation: '@inproceedings{han2024kdbts,
+#  title = {Boosting Self-Supervision for Single-View Scene Completion
+#  via Knowledge Distillation},
+#  author = {K Han and D Muhle and F Wimbauer and D Cremers},
+#  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+#  year = {2024},
+#  eprint = {2404.07933},
+#  eprinttype = {arXiv},
+#  eprintclass = {cs.CV},
+# }'
+
+
+# acknowledgements: 'This work was supported by the ERC Advanced Grant SIMULACRON, by the Munich Center for Machine Learning, and by the German Federal Ministry of Transport and Digital Infrastructure (BMDV) under grant 19F2251F for the ADAM project.'
+
+---