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44 changes: 22 additions & 22 deletions _bibliography/papers.bib
Original file line number Diff line number Diff line change
@@ -1,19 +1,17 @@
---
---
@inproceedings{benetatos2021assessing,
@article{achlioptas2023stellar,
bibtex_show={true},
title={Assessing vision quality in retinal prosthesis implantees through deep learning: Current progress and improvements by optimizing hardware design parameters and rehabilitation},
author={Benetatos, Alexandros and Melanitis, Nikos and Nikita, Konstantina S},
booktitle={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
pages={6130--6133},
year={2021},
organization={IEEE},
pdf={https://paperhost.org/proceedings/embs/EMBC21/files/0994.pdf},
html={https://ieeexplore.ieee.org/abstract/document/9630963},
video={https://youtu.be/JYxJJDVUMN8},
abstract={Retinal prosthesis (RP) is used to partially restore vision in patients with degenerative retinal diseases. Assessing the quality of RP-acquired (i.e., prosthetic) vision is needed to evaluate RP impact and prospects. Spatial distortions caused by electrical stimulation of the retina in RP, and the low number of electrodes, have limited the prosthetic vision: patients mostly localize shapes and shadows rather than recognizing objects. We simulate prosthetic vision and evaluate vision on image classification tasks, varying critical hardware parameters: total number and size of electrodes. We also simulate rehabilitation by re-training our models on prosthetic vision images. We find that electrode size has little impact on vision while at least 400 electrodes are needed to sufficiently restore vision (more than 65% classification accuracy on a complex visual task after rehabilitation). Argus II, a currently available implant, produces a low-resolution vision leading to low accuracy (21.3% score after rehabilitation) in complex vision tasks. Rehabilitation produces significant improvements (accuracy improvement of up to 30% on complex tasks, depending on the number of electrodes) in the attained vision, boosting our expectations for RP interventions and motivating the establishment of rehabilitation procedures for RP implantees.},
abbr={EMBC},
title={Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods},
author={Achlioptas, Panos and Benetatos, Alexandros and Fostiropoulos, Iordanis and Skourtis, Dimitris},
journal={arXiv preprint arXiv:2312.06116},
year={2023},
arxiv={https://arxiv.org/abs/2312.06116},
abstract={In this work, we systematically study the problem of personalized text-to-image generation, where the output image is expected to portray information about specific human subjects. E.g., generating images of oneself appearing at imaginative places, interacting with various items, or engaging in fictional activities. To this end, we focus on text-to-image systems that input a single image of an individual to ground the generation process along with text describing the desired visual context. Our first contribution is to fill the literature gap by curating high-quality, appropriate data for this task. Namely, we introduce a standardized dataset (Stellar) that contains personalized prompts coupled with images of individuals that is an order of magnitude larger than existing relevant datasets and where rich semantic ground-truth annotations are readily available. Having established Stellar to promote cross-systems fine-grained comparisons further, we introduce a rigorous ensemble of specialized metrics that highlight and disentangle fundamental properties such systems should obey. Besides being intuitive, our new metrics correlate significantly more strongly with human judgment than currently used metrics on this task. Last but not least, drawing inspiration from the recent works of ELITE and SDXL, we derive a simple yet efficient, personalized text-to-image baseline that does not require test-time fine-tuning for each subject and which sets quantitatively and in human trials a new SoTA. For more information, please visit our project's website: https://stellar-gen-ai.github.io.},
website={https://stellar-gen-ai.github.io},
preview={stellar_teaser.jpeg},
abbr={arXiv},
selected={true}
}

Expand All @@ -33,16 +31,18 @@ @N metric
selected={true}
}

@article{achlioptas2023stellar,
@inproceedings{benetatos2021assessing,
bibtex_show={true},
title={Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods},
author={Achlioptas, Panos and Benetatos, Alexandros and Fostiropoulos, Iordanis and Skourtis, Dimitris},
journal={arXiv preprint arXiv:2312.06116},
year={2023},
arxiv={https://arxiv.org/abs/2312.06116},
abstract={In this work, we systematically study the problem of personalized text-to-image generation, where the output image is expected to portray information about specific human subjects. E.g., generating images of oneself appearing at imaginative places, interacting with various items, or engaging in fictional activities. To this end, we focus on text-to-image systems that input a single image of an individual to ground the generation process along with text describing the desired visual context. Our first contribution is to fill the literature gap by curating high-quality, appropriate data for this task. Namely, we introduce a standardized dataset (Stellar) that contains personalized prompts coupled with images of individuals that is an order of magnitude larger than existing relevant datasets and where rich semantic ground-truth annotations are readily available. Having established Stellar to promote cross-systems fine-grained comparisons further, we introduce a rigorous ensemble of specialized metrics that highlight and disentangle fundamental properties such systems should obey. Besides being intuitive, our new metrics correlate significantly more strongly with human judgment than currently used metrics on this task. Last but not least, drawing inspiration from the recent works of ELITE and SDXL, we derive a simple yet efficient, personalized text-to-image baseline that does not require test-time fine-tuning for each subject and which sets quantitatively and in human trials a new SoTA. For more information, please visit our project's website: https://stellar-gen-ai.github.io.},
website={https://stellar-gen-ai.github.io},
preview={stellar_teaser.jpeg},
abbr={arXiv},
title={Assessing vision quality in retinal prosthesis implantees through deep learning: Current progress and improvements by optimizing hardware design parameters and rehabilitation},
author={Benetatos, Alexandros and Melanitis, Nikos and Nikita, Konstantina S},
booktitle={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
pages={6130--6133},
year={2021},
organization={IEEE},
pdf={https://paperhost.org/proceedings/embs/EMBC21/files/0994.pdf},
html={https://ieeexplore.ieee.org/abstract/document/9630963},
video={https://youtu.be/JYxJJDVUMN8},
abstract={Retinal prosthesis (RP) is used to partially restore vision in patients with degenerative retinal diseases. Assessing the quality of RP-acquired (i.e., prosthetic) vision is needed to evaluate RP impact and prospects. Spatial distortions caused by electrical stimulation of the retina in RP, and the low number of electrodes, have limited the prosthetic vision: patients mostly localize shapes and shadows rather than recognizing objects. We simulate prosthetic vision and evaluate vision on image classification tasks, varying critical hardware parameters: total number and size of electrodes. We also simulate rehabilitation by re-training our models on prosthetic vision images. We find that electrode size has little impact on vision while at least 400 electrodes are needed to sufficiently restore vision (more than 65% classification accuracy on a complex visual task after rehabilitation). Argus II, a currently available implant, produces a low-resolution vision leading to low accuracy (21.3% score after rehabilitation) in complex vision tasks. Rehabilitation produces significant improvements (accuracy improvement of up to 30% on complex tasks, depending on the number of electrodes) in the attained vision, boosting our expectations for RP interventions and motivating the establishment of rehabilitation procedures for RP implantees.},
abbr={EMBC},
selected={true}
}
14 changes: 7 additions & 7 deletions _config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ icon: ⚛️ # the emoji used as the favicon (alternatively, provide image name

url: https://alex-bene.github.io # the base hostname & protocol for your site
baseurl: # the subpath of your site, e.g. /blog/. Leave blank for root
last_updated: true # set to true if you want to display last updated in the footer
last_updated: false # set to true if you want to display last updated in the footer
impressum_path: # set to path to include impressum link in the footer, use the same path as permalink in a page, helps to conform with EU GDPR

# -----------------------------------------------------------------------------
Expand Down Expand Up @@ -69,7 +69,7 @@ og_image: # The site-wide (default for all links) Open Graph preview image
acm_id: # your dl.acm.org/profile/id
blogger_url: # your blogger URL
bluesky_url: # your bluesky URL
dblp_url: https://dblp.org/pid/309/2921.html # your DBLP profile url
dblp_url: # https://dblp.org/pid/309/2921.html # your DBLP profile url
discord_id: # your discord id (18-digit unique numerical identifier)
facebook_id: # your facebook id
flickr_id: # your flickr id
Expand All @@ -92,7 +92,7 @@ quora_username: # your Quora username
research_gate_profile: # your profile on ResearchGate
scholar_userid: KA2BLWUAAAAJ # your Google Scholar ID
scopus_id: # your profile on Scopus
semanticscholar_id: 2141922097 # your Semantic Scholar ID
semanticscholar_id: # 2141922097 # your Semantic Scholar ID
spotify_id: # your spotify id
stackoverflow_id: # your stackoverflow id
telegram_username: # your Telegram user name
Expand Down Expand Up @@ -184,7 +184,7 @@ announcements:
limit: 5 # leave blank to include all the news in the `_news` folder

latest_posts:
enabled: true
enabled: false
scrollable: true # adds a vertical scroll bar if there are more than 3 new posts items
limit: 3 # leave blank to include all the blog posts

Expand Down Expand Up @@ -346,7 +346,7 @@ filtered_bibtex_keywords:
]

# Maximum number of authors to be shown for each publication (more authors are visible on click)
max_author_limit: 3 # leave blank to always show all authors
max_author_limit: 4 # leave blank to always show all authors
more_authors_animation_delay: 10 # more authors are revealed on click using animation; smaller delay means faster animation

# Enables publication thumbnails. If disabled, none of the publications will display thumbnails, even if specified in the bib entry.
Expand Down Expand Up @@ -406,7 +406,7 @@ enable_masonry: true # enables automatic project cards arrangement
enable_math: true # enables math typesetting (uses MathJax)
enable_tooltips: false # enables automatic tooltip links generated for each section titles on pages and posts
enable_darkmode: true # enables switching between light/dark modes
enable_navbar_social: true # enables displaying social links in the navbar on the about page
enable_navbar_social: false # enables displaying social links in the navbar on the about page
enable_project_categories: true # enables categorization of projects into multiple categories
enable_medium_zoom: true # enables image zoom feature (as on medium.com)
enable_progressbar: true # enables a horizontal progress bar linked to the vertical scroll position
Expand Down Expand Up @@ -458,7 +458,7 @@ third_party_libraries:
google_fonts:
url:
# fonts: "https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons&display=swap"
fonts: "https://fonts.googleapis.com/css?family=Poppins:300,400,500,700|Poppins+Slab:100,300,400,500,700|Material+Icons&display=swap"
fonts: "https://fonts.googleapis.com/css?family=Lato:100,200,300,400,500,600,700,800,900|Lato+Slab:100,200,300,400,500,600,700,800,900|Roboto:100,200,300,400,500,600,700|Roboto+Slab:100,200,300,400,500,600,700|Material+Icons&display=swap"
highlightjs:
integrity:
css:
Expand Down
12 changes: 3 additions & 9 deletions _data/venues.yml
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@@ -1,9 +1,3 @@
"AJP":
url: https://aapt.scitation.org/journal/ajp
color: "#00369f"

"PhysRev":
url: https://journals.aps.org/

"Vision":
color: "#009f36"
"arXiv":
color: "#f0ad4e"
text: "#050505"
2 changes: 1 addition & 1 deletion _includes/header.liquid
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Expand Up @@ -3,7 +3,7 @@
<nav id="navbar" class="navbar navbar-light navbar-expand-sm {% if site.navbar_fixed %}fixed-top{% else %}sticky-top{% endif %}" role="navigation">
<div class="container">
{% if page.permalink != '/' %}
<a class="navbar-brand title font-weight-lighter" href="{{ site.baseurl }}/">
<a class="navbar-brand title" href="{{ site.baseurl }}/">
{% if site.title == 'blank' %}
{% if site.first_name %}
<span class="font-weight-bold">
Expand Down
37 changes: 22 additions & 15 deletions _layouts/about.liquid
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Expand Up @@ -3,9 +3,9 @@ layout: default
---
<div class="post">
<header class="post-header">
<h1 class="post-title">
<h1 class="main_title">
{% if site.title == 'blank' %}
<span class="font-weight-bold">{{ site.first_name }}</span> {{ site.middle_name }}
<span>{{ site.first_name }}</span> {{ site.middle_name }}
{{ site.last_name }}
{% else %}
{{ site.title }}
Expand All @@ -22,8 +22,7 @@ layout: default
{% if page.profile.image_circular %}
{% assign profile_image_class = 'img-fluid z-depth-1 rounded-circle' %}
{% else %}
{% assign profile_image_class = 'img-fluid z-depth-1
rounded' %}
{% assign profile_image_class = 'img-fluid z-depth-1 rounded' %}
{% endif %}
{% capture sizes %}(min-width: {{site.max_width}}) {{ site.max_width | minus: 30 | times: 0.3}}px, (min-width: 576px)
30vw, 95vw"{% endcapture %}
Expand All @@ -35,6 +34,15 @@ layout: default
{% if page.profile.more_info %}
<div class="more-info">{{ page.profile.more_info }}</div>
{% endif %}
<!-- Social -->
{% if page.social %}
<div class="social">
<div class="contact-icons">{% include social.liquid %}</div>

{% comment %} <div class="contact-note">{{ site.contact_note }}</div> {% endcomment %}
</div>
{% endif %}

</div>
{% endif %}

Expand All @@ -44,28 +52,27 @@ layout: default
{% if page.news and site.announcements.enabled %}
<hr>
<h2>
<a href="{{ '/news/' | relative_url }}" style="color: inherit">Νews</a>
<a href="{{ '/news/' | relative_url }}" style="color: inherit">news</a>
</h2>
{% include news.liquid limit=true %}
{% endif %}

<!-- Latest posts -->
{% if site.latest_posts.enabled %}
<h2>
<a href="{{ '/blog/' | relative_url }}" style="color: inherit">latest posts</a>
</h2>
{% include latest_posts.liquid %}
{% endif %}

<!-- Selected papers -->
{% if page.selected_papers %}
<hr>
<h2>
<a href="{{ '/publications/' | relative_url }}" style="color: inherit">Publications</a>
<a href="{{ '/publications/' | relative_url }}" style="color: inherit">publications</a>
</h2>
{% include selected_papers.liquid %}
{% endif %}

<!-- Social -->
{% if page.social %}
<hr>
<div class="social">
<div class="contact-icons">{% include social.liquid %}</div>

<div class="contact-note">{{ site.contact_note }}</div>
</div>
{% endif %}
</article>
</div>
11 changes: 9 additions & 2 deletions _layouts/bib.liquid
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,9 @@
{% if site.data.venues[entry.abbr].color != blank %}
{% assign venue_style = site.data.venues[entry.abbr].color | prepend: 'style="background-color:' | append: '"' %}
{%- endif -%}
{% if site.data.venues[entry.abbr].text != blank %}
{% assign text_style = site.data.venues[entry.abbr].text | prepend: 'style="color:' | append: '"' %}
{%- endif -%}
<abbr
class="badge rounded w-100"
{% if venue_style %}
Expand All @@ -18,7 +21,11 @@
{% if site.data.venues[entry.abbr].url %}
<a href="{{site.data.venues[entry.abbr].url}}">{{ entry.abbr }}</a>
{% else %}
<div>{{- entry.abbr -}}</div>
<div
{% if text_style %}
{{ text_style }}
{% endif -%}
>{{- entry.abbr -}}</div>
{% endif %}
</abbr>
{% else %}
Expand All @@ -45,7 +52,7 @@
{% endif %}

<!-- Entry bib key -->
<div id="{{entry.key}}" class="{% if site.enable_publication_thumbnails %}col-sm-8{% else %}col-sm-10{% endif %}">
<div id="{{entry.key}}" class="{% if site.enable_publication_thumbnails %}col-sm-10{% else %}col-sm-12{% endif %}">
<!-- Title -->
<div class="title">{{ entry.title }}</div>
<!-- Author -->
Expand Down
14 changes: 10 additions & 4 deletions _pages/about.md
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Expand Up @@ -15,11 +15,17 @@ profile:

news: true # includes a list of news items
selected_papers: true # includes a list of papers marked as "selected={true}"
# social: true # includes social icons at the bottom of the page
social: true # includes social icons at the bottom of the page
---

Write your biography here. Tell the world about yourself. Link to your favorite [subreddit](http://reddit.com). You can put a picture in, too. The code is already in, just name your picture `prof_pic.jpg` and put it in the `img/` folder.
Hi there! My name is Alexandros Benetatos. I'm currently looking for new opportunities and am particularly interested in pursuing a Ph.D. in Computer Science, with a focus on Generative 3D systems. I'm excited about the potential of creating realistic virtual human agents interacting with immersive 3D environments.

Put your address / P.O. box / other info right below your picture. You can also disable any of these elements by editing `profile` property of the YAML header of your `_pages/about.md`. Edit `_bibliography/papers.bib` and Jekyll will render your [publications page](/al-folio/publications/) automatically.
I received my MSc in Computer Science (Machine Learning) from the [National Technical University of Athens (NTUA)](https://www.ece.ntua.gr/en) and in close collaboration with [Deeplab](https://deeplab.ai/), advised by Prof. [Petros Maragos](https://robotics.ntua.gr/members/maragos/). I also completed my undergraduate in Electrical and Computer Engineering at NTUA.

Link to your social media connections, too. This theme is set up to use [Font Awesome icons](https://fontawesome.com/) and [Academicons](https://jpswalsh.github.io/academicons/), like the ones below. Add your Facebook, Twitter, LinkedIn, Google Scholar, or just disable all of them.
After graduation, I spent a great year as a Research Scientist at [Steel Perlot](https://steelperlot.com/), focusing on developing personalized text-to-image technologies in the field of generative AI.

Aside from my research pursuits in CS, I am passionate about educational robotics. For the past decade, I have coached numerous student teams, leading them to win awards at both national and international competitions. It’s been a joy to inspire young students to delve into complex STEM fields and help them achieve their best.

Reflecting on my past, I have many fond memories of representing Greece in robotics and physics Olympiads during high school, where my interests in computer science began.

<i>Feel free to reach out via email or connect with me on LinkedIn. I am always open to new opportunities and collaborations.</i>
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