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added radar odometry
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_data/affiliations.yaml

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@@ -12,4 +12,16 @@ oxford:
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short: Oxford
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mit:
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long: Massachusetts Institute of Technology
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short: MIT
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short: MIT
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cariad:
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long: CARIAD SE
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short: CARIAD SE
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audi:
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long: AUDI AG
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short: AUDI AG
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roboticsbonn:
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long: Center for Robotics, University of Bonn
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short: University of Bonn
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lamarr:
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long: Lamarr Institute for Machine Learning and Artificial Intelligence
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short: Lamarr Institute for ML and AI

_data/authors_external.yaml

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@@ -5,4 +5,27 @@ krishnajatavallabhula:
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christianrupprecht:
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first_name: Christian
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last_name: Rupprecht
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website: https://eng.ox.ac.uk/people/christian-rupprecht/
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website: https://eng.ox.ac.uk/people/christian-rupprecht/
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danielcasadoherraez:
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first_name: Daniel
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last_name: Casado Herraez
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website: https://dcasadoherraez.github.io/
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franzkaschner:
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first_name: Franz
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last_name: Kaschner
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website: https://github.com/TheKastenkarl
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matthiaszeller:
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first_name: Matthias
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last_name: Zeller
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website: https://www.ipb.uni-bonn.de/people/matthias-zeller/index.html
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jensbehley:
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first_name: Jens
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last_name: Behley
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website: https://jbehley.github.io/
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michaelheidingsfeld:
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first_name: Michael
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last_name: Heidingsfeld
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cyrillstachniss:
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first_name: Cyrill
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last_name: Stachniss
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website: https://www.ipb.uni-bonn.de/people/cyrill-stachniss/index.html
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_publications/radar_odometry/index.md

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---
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layout: publications
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permalink: /publications/radar_odometry/
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# external_link: https://abhi-rf.github.io/publications/gss/
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date: 2025_01_30 # determines sorting just take the date of the first publication as YYYY_MM_DD
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image: assets/teaser.png
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image_mouseover: assets/architecture.png
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title: "Ground-Aware Automotive Radar Odometry"
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venue: ICRA, 2025
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authors:
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- name: danielcasadoherraez
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affiliations: "1,2"
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equal_contribution: True
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- name: franzkaschner
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affiliations: "3,4"
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equal_contribution: True
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- matthiaszeller:
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affiliations: "1,2"
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- name: dominikmuhle
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affiliations: "4,5"
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- name: jensbehley
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affiliations: "2"
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- name: michaelheidingsfeld
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affiliations: "1"
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- name: danielcremers
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affiliations: "4,5"
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- name: cyrillstachniss
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affiliations: "2,6"
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affiliations:
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- name: cariad
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length: long
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- name: roboticsbonn
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length: short
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- audi:
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length: short
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- name: tum
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length: short
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- name: mcml
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length: long
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- name: lamarr
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length: short
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description: "We propose a simple, yet effective, heuristic-based method to extract the ground plane from single radar scans and perform ground plane matching between consecutive scan."
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links:
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# - name: Project Page
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# link: publications/radar_odometry/
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- name: Paper
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link: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/casado-herraez2025icra.pdf
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style: "bi bi-file-earmark-richtext"
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citation: '@inproceedings{herraez2025ground,
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title={Ground-Aware Automotive Radar Odometry},
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author={Herraez, Daniel Casado and Kaschner, Franz and Zeller, M and Muhle, D and Behley, J and Heidingsfeld, M and Cremers, D and Stachniss, C},
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booktitle={Proc. of the IEEE Intl. Conf. on Robotics \& Automation (ICRA)},
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year={2025}
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}
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'
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---

_publications/skeletondiffusion/index.md

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title={Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction},
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author={Curreli, Cecilia and Muhle, Dominik and Saroha, Abhishek and Ye, Zhenzhang and Marin, Riccardo and Cremers, Daniel},
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journal={arXiv preprint arXiv:2501.06035},
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year={2025},
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url={https://arxiv.org/abs/2501.06035},
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eprinttype={arXiv},
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eprintclass={cv.CV},
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}'
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year={2025}
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}
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'
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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.'
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---

assets/css/header.css

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body {
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font-family: "Lato", Verdana, Helvetica, sans-serif;
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background-color: #FFF;
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color: #000;
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.header-title {
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width: -moz-fit-content;
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width: fit-content;
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font-weight: 400;
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color: #555;
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}
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.header-venue {
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color: #000;
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}
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.header-venue-emph {
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font-style: normal;
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font-weight: 500;
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font-size: 16pt;
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color: firebrick;
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padding-left: 0.25em;
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}
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.header-awards {
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color: firebrick;
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width: -moz-fit-content;
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width: fit-content;
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.header-authors {
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font-size: 14pt;
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.header-authors .author-block {
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display: inline-block;
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margin-right: 0.5em;
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}
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.header-authors .author-me {
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color: #000;
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font-weight: 700;
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}
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.header-authors a:hover {
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text-decoration: underline;
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}
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.link-block {
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align-items: center;
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}
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.link-block a {
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color: #FFF;
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.link-block a :visited {
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color: #FFF;
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.link-block a :hover {
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color: #235e70;
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.link-block a .icon {
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color: #FFF;
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color: #FFF;
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.link-block a .icon :hover {
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color: #FFF;
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.link-block a .publication-link {
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color: #FFF;
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.link-block a .publication-link :visited {
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color: #FFF;
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.link-block a .publication-link :hover {
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color: #235e70;
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}/*# sourceMappingURL=header.css.map */

assets/css/index.css

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body {
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font-family: "Noto Sans", sans-serif;
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}
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.footer .icon-link {
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font-size: 25px;
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color: #000;
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}
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.link-block a {
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margin-top: 5px;
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margin-bottom: 5px;
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}
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.dnerf {
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font-variant: small-caps;
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}
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.teaser .hero-body {
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padding-top: 0;
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padding-bottom: 3rem;
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}
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.teaser {
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font-family: "Google Sans", sans-serif;
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}
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.results-carousel {
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overflow: hidden;
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}
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.results-carousel .item {
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margin: 5px;
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overflow: hidden;
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padding: 20px;
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font-size: 0;
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}
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.results-carousel video {
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margin: 0;
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}
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.slider-pagination .slider-page {
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background: #000000;
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}
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.eql-cntrb {
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font-size: smaller;
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}
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.before,
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.after {
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margin: 0;
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}
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.before figcaption,
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.after figcaption {
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background: #fff;
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border: 1px solid #c0c0c0;
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border-radius: 4px;
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color: #2e3452;
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opacity: 0.6;
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padding: 4px;
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position: absolute;
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bottom: 0px;
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transform: translateY(-50%);
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line-height: 100%;
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.before figcaption {
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left: 4px;
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}
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.after figcaption {
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right: 4px;
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}/*# sourceMappingURL=index.css.map */

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