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Hugo Academic Theme

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The Hugo Academic Resumé Template empowers you to easily create your job-winning online resumé, showcase your academic publications, and create online courses or knowledge bases to grow your audience.

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Trusted by 250,000+ researchers, educators, and students. Highly customizable via the integrated no-code, widget-based Wowchemy page builder, making every site truly personalized ⭐⭐⭐⭐⭐

Easily write technical content with plain text Markdown, LaTeX math, diagrams, RMarkdown, or Jupyter, and import publications from BibTeX.

Check out the latest demo of what you'll get in less than 10 minutes, or get inspired by our academics and research groups.

The integrated Wowchemy website builder and CMS makes it easy to create a beautiful website for free. Edit your site in the CMS (or your favorite editor), generate it with Hugo, and deploy with GitHub or Netlify. Customize anything on your site with widgets, light/dark themes, and language packs.

We ask you, humbly, to support this open source movement

Today we ask you to defend the open source independence of the Wowchemy website builder and themes 🐧

We're an open source movement that depends on your support to stay online and thriving, but 99.9% of our creators don't give; they simply look the other way.

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Hugo Academic Theme for Wowchemy Website Builder

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Mattia Segù's Projects

bdd100k icon bdd100k

Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

darth icon darth

[ICCV23] Official Implementation of DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

mmtracking icon mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

scalabel icon scalabel

Human-machine collaboration platform for visual data annotation

tet icon tet

Implementation of Tracking Every Thing in the Wild, ECCV 2022

uncertainty_estimation_deep_learning icon uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

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