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<!doctype html>
<html lang="en">
<link rel="icon" href="data:image/svg+xml,<svg xmlns=%22http://www.w3.org/2000/svg%22 viewBox=%220 0 100 100%22><text y=%22.9em%22 font-size=%2290%22>🎓</text></svg>">
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<div class="col col-xl-10">
<div class="row mb-3">
<div class="col d-none d-md-block">
<div class="d-flex justify-content-end flex-wrap">
<a href="https://akshayparuchuri.com/" class="btn link-button" role="button">About</a>
<a href="https://akshayparuchuri.com/#research" class="btn link-button" role="button">Research</a>
<a href="https://akshayparuchuri.com/#software" class="btn link-button" role="button">Software</a>
<a href="/media/Akshay_Paruchuri_CV_2024.pdf" target="_blank" class="btn link-button" role="button">CV</a>
</div>
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<div class="col d-md-none">
<div class="d-flex justify-content-end flex-wrap">
<a href="https://akshayparuchuri.com/" class="btn link-button-small" role="button">About</a>
<a href="https://akshayparuchuri.com/#research" class="btn link-button-small" role="button">Research</a>
<a href="https://akshayparuchuri.com/#software" class="btn link-button-small" role="button">Software</a>
<a href="/media/Akshay_Paruchuri_CV_2024.pdf" target="_blank" class="btn link-button-small" role="button">CV</a>
</div>
</div>
</div>
<div class="row pt-1 m-1">
<div class="container" text-align="center">
<div class="row info-text">
<div class="col-sm-4">
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<div class="d-block d-sm-none">
<img src="headshot.jpg" class="img-fluid rounded-circle center-block about-headshot-mobile" alt="headshot">
</div>
<div class="d-none d-sm-block">
<img src="headshot.jpg" class="img-fluid rounded-circle center-block about-headshot" alt="headshot">
</div>
<p class="h3 pt-sm-3 title-name">Akshay Paruchuri</p>
<div class="d-block d-lg-none">
<p class="mb-1 title-email-small"><a href="mailto:[email protected]">[email protected]</a></p>
</div>
<div class="d-none d-lg-block">
<p class="mb-1 title-email"><a href="mailto:[email protected]">[email protected]</a></p>
</div>
<a href="https://github.com/yahskapar" class="fa fa-github"></a>
<a href="https://scholar.google.com/citations?hl=en&user=tc0M7WwAAAAJ&view_op=list_works&sortby=pubdate" class="fa fa-graduation-cap"></a>
<a href="https://www.linkedin.com/in/akshayparuchuri/" class="fa fa-linkedin"></a>
<a href="https://twitter.com/Yahskapar" class="fa fa-twitter"></a>
<div class="d-block d-sm-none">
<br>
</div>
</div>
</div>
<div class="col-sm-8 about-text">
<p>I'm a CS PhD student at <a href="https://cs.unc.edu/">UNC Chapel Hill</a> advised by Professor <a href="https://telepresence.web.unc.edu/">Henry Fuchs</a>. My research interests are at the intersection of computer graphics, augmented reality, and virtual reality. I do research that typically explores these topics with an emphasis on having an outcome that directly benefits applications in areas such as healthcare, entertainment, and robotics.</p>
<p>I've done internships at <a href="https://research.google/blog/advancing-personal-health-and-wellness-insights-with-ai/">Google</a> and <a href="https://www.kitware.com/">Kitware</a> thus far in my PhD. Prior to pursuing a PhD, I was an embedded systems engineer working on wearable devices at <a href="https://www.nike.com/a/nike-adapt-bb-release-info">Nike</a>. I completed my undergraduate education in <a href="https://ece.ncsu.edu/">electrical and computer engineering at NC State University</a>.
</p>
<p>
I'm happy to chat about research, new opportunities, and life in general with just about anyone. Feel free to reach out via email!
</p>
<p>
<strong>I'm actively looking for Summer 2025 internships in graphics, AR/VR, and application areas such as health and entertainment. Please reach out via email if you have an opportunity that that might be a strong fit!</strong>
</p>
<span class="news-title">News</span>
<div class="expandable-list">
<ul>
<li><span class="news-date">Sep 2023</span> <span class="news-entry"><a href="https://arxiv.org/abs/2406.12830">One first-author paper</a> has been accepted to EMNLP 2024 (Main Track) in Miami, Florida!</span> </li>
<li><span class="news-date">Jul 2023</span> <span class="news-entry"><a href="https://ppsnet.github.io/">One first-author paper</a> has been accepted to ECCV 2024 in Milan, Italy!</span> </li>
<li><span class="news-date">Mar 2023</span> <span class="news-entry">Started an internship on Google's Consumer Health Research Team (CHRT) in Seattle, WA!</span> </li>
<li><span class="news-date">Mar 2023</span> <span class="news-entry">New website! Stay tuned for more updates.</span> </li>
</ul>
<span class="news-expand-button news-entry" id="newsExpandBtn">...show all...</span>
</div>
</div>
</div>
<br>
<a name="research"></a>
<div class="row content-header">
<div class="col pr-0">
<p>Research</p>
</div>
</div>
<br>
<p>This website is a work in progress. Please see my <a href="https://scholar.google.com/citations?hl=en&user=tc0M7WwAAAAJ&view_op=list_works&sortby=pubdate">Google Scholar</a> for a full, more up-to-date list of my publications!</p>
<div class="row content-summary pt-4 pb-2">
<div class="d-none d-sm-block col-sm-3 m-0 p-0">
<img src=/media/papers/prob_reasoning_in_LLMs/prob_reasoning_in_LLMs.png class="img-fluid summary-image drop-shadow" alt="teaser img">
</div>
<div class="col-xs col-sm-9">
<p class="summary-title">What Are the Odds? Language Models Are Capable of Probabilistic Reasoning</p>
<p class="summary-authors">Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff</p>
<p class="summary-publication-status">
EMNLP 2024 (Main)
</p>
<p class="summary-text">Probabilistic reasoning is a key challenge for large language models (LLMs). Our paper evaluates LLMs on three tasks of estimating percentiles, drawing samples, and calculating probabilties using real-world and idealized distributions. Techniques such as within-distribution anchoring, real-world context, and simplifying assumptions (e.g., Normal approximations) improved performance by up to 70%.</p>
<div class="d-flex flex-row flex-wrap">
<div>
<a href="https://arxiv.org/pdf/2406.12830" class="btn-sm badge-button" role="button">arxiv</a>
</div>
<div>
<a href="https://github.com/yahskapar/LLMs-and-Probabilistic-Reasoning" class="btn-sm badge-button" role="button">code</a>
</div>
<div>
<a href="https://research.google/blog/evaluating-and-enhancing-probabilistic-reasoning-in-language-models/" class="btn-sm badge-button" role="button">blog post</a>
</div>
<div>
<a href="/media/papers/prob_reasoning_in_LLMs/prob_reasoning_in_LLMs_bib.txt" target="_blank" class="btn-sm badge-button" role="button">bibtex</a>
</div>
</div>
</div>
</div>
<div class="row content-summary pt-4 pb-2">
<div class="d-none d-sm-block col-sm-3 m-0 p-0">
<img src=/media/papers/ppsnet/ppsnet_teaser.png class="img-fluid summary-image drop-shadow" alt="teaser img">
</div>
<div class="col-xs col-sm-9">
<p class="summary-title">Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos</p>
<p class="summary-authors">Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang, Inbar Fried, Stephen M. Pizer, Marc Niethammer, Roni Sengupta</p>
<p class="summary-publication-status">
ECCV 2024
</p>
<p class="summary-text">Near-field lighting, emitted by the endoscope and reflected by the surface, is modeled as Per-Pixel Shading (PPS). PPS features are used to perform depth refinement on clinical data using teacher-student transfer learning and a PPS-informed self-supervision, ultimately achieving state-of-the-art results on colonoscopy data.</p>
<div class="d-flex flex-row flex-wrap">
<div>
<a href="https://ppsnet.github.io/" class="btn-sm badge-button" role="button">project</a>
</div>
<div>
<a href="https://arxiv.org/abs/2403.17915" class="btn-sm badge-button" role="button">arxiv</a>
</div>
<div>
<a href="https://github.com/Roni-Lab/PPSNet" class="btn-sm badge-button" role="button">code</a>
</div>
<div>
<a href="/media/papers/ppsnet/ppsnet_bib.txt" target="_blank" class="btn-sm badge-button" role="button">bibtex</a>
</div>
</div>
</div>
</div>
<div class="row content-summary pt-4 pb-2">
<div class="d-none d-sm-block col-sm-3 m-0 p-0">
<img src=/media/papers/marppg/marppg_teaser.png class="img-fluid summary-image drop-shadow" alt="teaser img">
</div>
<div class="col-xs col-sm-9">
<p class="summary-title">Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement</p>
<p class="summary-authors">Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak Patel, Daniel McDuff, Roni Sengupta</p>
<p class="summary-publication-status">
WACV 2024 (Oral)
</p>
<p class="summary-text">Neural Motion Transfer serves as an effective data augmentation technique for PPG signal estimation from facial videos. We devise the best strategy to augment publicly available datasets with motion augmentation, improving up to 79% in inter-dataset testing involving five benchmark datasets and 47% over existing results using SOTA methods on PURE.</p>
<div class="d-flex flex-row flex-wrap">
<div>
<a href="https://motion-matters.github.io/" class="btn-sm badge-button" role="button">project</a>
</div>
<div>
<a href="https://arxiv.org/abs/2303.12059" class="btn-sm badge-button" role="button">arxiv</a>
</div>
<div>
<a href="https://github.com/Roni-Lab/MA-rPPG-Video-Toolbox" class="btn-sm badge-button" role="button">code</a>
</div>
<div>
<a href="/media/papers/marppg/marppg_bib.txt" target="_blank" class="btn-sm badge-button" role="button">bibtex</a>
</div>
</div>
</div>
</div>
<br>
<br>
<a name="software"></a>
<div class="row content-header">
<div class="col pr-0">
<p>Software</p>
</div>
</div>
<div class="row content-summary pt-4 pb-2">
<div class="d-none d-sm-block col-sm-3 m-0 p-0">
<img src=media/software/rppg-toolbox/rppg_toolbox_teaser.png class="img-fluid summary-image drop-shadow" alt="teaser img">
</div>
<div class="col-xs col-sm-9">
<p class="summary-title">rPPG-Toolbox: Deep Remote PPG Toolbox</p>
<p class="summary-authors"></p>
<p class="summary-publication-status">
NeurIPS 2023 Datasets and Benchmarks Track
</p>
<p class="summary-text">A comprehensive toolbox that contains unsupervised and supervised remote photoplethysmography (rPPG) models with support for public benchmark datasets, data augmentation, and systematic evaluation.</p>
<div class="d-flex flex-row flex-wrap">
<div>
<a href="https://arxiv.org/abs/2210.00716" class="btn-sm badge-button" role="button">arXiv</a>
</div>
<div>
<a href="https://github.com/ubicomplab/rPPG-Toolbox" class="btn-sm badge-button" role="button">code</a>
</div>
<div>
<a href="https://proceedings.neurips.cc/paper_files/paper/2023/hash/d7d0d548a6317407e02230f15ce75817-Abstract-Datasets_and_Benchmarks.html" class="btn-sm badge-button" role="button">NeurIPS 2023</a>
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<a href="/media/papers/texfusion/texfusion_bib.txt" target="_blank" class="btn-sm badge-button" role="button">bibtex</a>
</div>
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