From 28836313e3185c7aa86bb91c45bd37c623914a43 Mon Sep 17 00:00:00 2001 From: alex-bene Date: Tue, 7 May 2024 00:31:41 +0000 Subject: [PATCH] updates --- _bibliography/papers.bib | 44 +- _config.yml | 14 +- _data/venues.yml | 12 +- _includes/header.liquid | 2 +- _layouts/about.liquid | 37 +- _layouts/bib.liquid | 11 +- _pages/about.md | 14 +- _pages/blog.md | 190 ------- _pages/cv.md | 11 - _pages/cv_202404.md | 12 + _pages/projects.md | 65 --- _pages/publications.md | 2 +- _pages/repositories.md | 47 -- _pages/teaching.md | 12 - _posts/2015-03-15-formatting-and-links.md | 36 -- _posts/2015-05-15-images.md | 49 -- _posts/2015-07-15-code.md | 100 ---- _posts/2015-10-20-disqus-comments.md | 12 - _posts/2015-10-20-math.md | 29 -- _posts/2018-12-22-distill.md | 321 ------------ _posts/2020-09-28-github-metadata.md | 39 -- _posts/2020-09-28-twitter.md | 24 - _posts/2021-07-04-diagrams.md | 34 -- _posts/2022-02-01-redirect.md | 9 - _posts/2022-12-10-giscus-comments.md | 12 - _posts/2023-03-20-table-of-contents.md | 45 -- _posts/2023-03-21-tables.md | 106 ---- _posts/2023-04-24-videos.md | 33 -- _posts/2023-04-25-audios.md | 22 - 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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} } @@ -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} } diff --git a/_config.yml b/_config.yml index 168ab04..545eb1f 100644 --- a/_config.yml +++ b/_config.yml @@ -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 # ----------------------------------------------------------------------------- @@ -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 @@ -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 @@ -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 @@ -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. @@ -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 @@ -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: diff --git a/_data/venues.yml b/_data/venues.yml index 4196320..0906555 100644 --- a/_data/venues.yml +++ b/_data/venues.yml @@ -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" \ No newline at end of file diff --git a/_includes/header.liquid b/_includes/header.liquid index 6a5829e..a6aa660 100644 --- a/_includes/header.liquid +++ b/_includes/header.liquid @@ -3,7 +3,7 @@