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Paul Gavrikov

@paulgavrikov.bsky.social
54 followers 75 following 85 posts

Postdoc @ KAUST 🇸🇦 | Machine Learning & Computer Vision paulgavrikov.github.io

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Paul Gavrikov @paulgavrikov.bsky.social · 14/07/2026
I am proud to announce that I have joined KAUST (King Abdullah University of Science and Technology) to continue my postdoc journey in the lab of Bernard Ghanem—a very exciting change of scenery as I will be leaving Germany after 30+ years to move to the Red Sea coast in Saudi Arabia 🇸🇦.
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Paul Gavrikov @paulgavrikov.bsky.social · 07/06/2026
Do Vision-Language Models (VLMs) actually "see" everything in a crowded room? 🔍 Today at #CVPR2026, we are presenting VisualOverload, our work exploring the critical visual perception bottlenecks of VLMs in dense scenes. 📍 Today (Poster Session 6), 5:30 PM - 7:30 PM, Poster 431 (ExHall A)
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Paul Gavrikov @paulgavrikov.bsky.social · 04/06/2026
Visit our #CVPR2026 poster #179 at 11:50-12:30 to learn about issues and solutions for negation in CLIP. Work led by Fawaz Sammani and Tzoulio Chamiti.
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Paul Gavrikov @paulgavrikov.bsky.social · 07/04/2026
Meet Slurm Manager: a self-hosted web dashboard for Slurm clusters. Connect via SSH, monitor nodes & jobs in real time, submit scripts, view fairshare quotas — all from your browser. Basically, a handy wrapper over Slurm commands via SSH.
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Paul Gavrikov @paulgavrikov.bsky.social · 03/04/2026
🚨 Deadline Approaching! 🚨 The archival deadline has officially closed, but there is still time to share your research! The Non-Archival submission deadline for CV4Edu at #CVPR2026 is coming up on April 9th, 2026 (AOE).
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Paul Gavrikov @paulgavrikov.bsky.social · 26/03/2026
CLIP models excel at image retrieval, but they famously struggle with negation. Do we really need fine-tuning to fix this? 🤔 In our #CVPR2026 MAR workshop paper, "When Negation Is a Geometry Problem in Vision-Language Models," we rethink the problem.
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Paul Gavrikov @paulgavrikov.bsky.social · 16/03/2026
🚨Less than 24 hours left!
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Paul Gavrikov @paulgavrikov.bsky.social · 15/03/2026
The CV4Edu @ #CVPR archival deadline ends tomorrow, March 16th AOE! Don't forget to submit your paper on the intersection of computer vision and education. Also, join our workshop in Denver and listen to great keynotes by Marcelo Worsley, @mohitbansal.bsky.social, Jacob Whitehill, and more
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Paul Gavrikov @paulgavrikov.bsky.social · 12/03/2026
Do you have an interesting paper on the intersection of computer vision and education, but weren't ready to submit it yet? Our extended deadline still allows you to be part of the #CVPR Workshop proceedings! Archival deadline: March 16, 2026 (AoE) Non-archival deadline: May 10, 2026 (AoE)
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Paul Gavrikov @paulgavrikov.bsky.social · 09/03/2026
🚨 Our submission deadline is approaching soon (March 12, 2026) 🚨 Submit your work to CV4Edu: Computer Vision for Education, our official workshop at #CVPR2026! 📚👁️ 👉 Learn more and submit here: cv4edu.github.io
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Paul Gavrikov @paulgavrikov.bsky.social · 21/02/2026
Proud to announce that VisualOverload was accepted to #CVPR2026! Overall 2/2 accepted.
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Paul Gavrikov @paulgavrikov.bsky.social · 27/01/2026
We are proud to announce the first CV4Edu workshop at #CVPR2026 in Denver. We are bringing together researchers in AI in education, computer vision, and human-centered AI, and invite you to submit a full, short, or position paper to our workshop.
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Paul Gavrikov @paulgavrikov.bsky.social · 30/10/2025
Tracking the spookiest runs @weightsbiases.bsky.social
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Paul Gavrikov @paulgavrikov.bsky.social · 14/10/2025
The worst part about leaving academia is that you loose eduroam access :(
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Paul Gavrikov @paulgavrikov.bsky.social · 01/10/2025
🚨 New paper out! "VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes" 👉 arxiv.org/abs/2509.25339 We test 37 VLMs on 2,700+ VQA questions about dense scenes. Findings: even top models fumble badly—<20% on the hardest split and key failure modes in counting, OCR & consistency.
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Paul Gavrikov @paulgavrikov.bsky.social · 08/09/2025
Is basic image understanding solved in today’s SOTA VLMs? Not quite. We present VisualOverload, a VQA benchmark testing simple vision skills (like counting & OCR) in dense scenes. Even the best model (o3) only scores 19.8% on our hardest split.
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Reposted by Paul Gavrikov
Keuper Labs @keuper-labs.bsky.social · 08/07/2025
Congratulations to @paulgavrikov.bsky.social for an excellent PhD defense today!
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Paul Gavrikov @paulgavrikov.bsky.social · 28/05/2025
Yesterday, I had the great honor of delivering a talk on feature biases in vision models at the VAL Lab at the Indian Institute of Science (IISc). I covered our ICLR 2025 paper and a few older works in the same realm. youtu.be/9efpCs1ltcM
youtu.be
Paul Gavrikov - Feature Biases in Vision Models (Research Talk @ IISc, Bengaluru)
YouTube video by Paul Gavrikov
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Paul Gavrikov @paulgavrikov.bsky.social · 03/05/2025
What an incredible week at #ICLR 2025! 🌟 I had an amazing time presenting our poster "Can We Talk Models Into Seeing the World Differently?" with @jovitalukasik.bsky.social. Huge thanks to everyone who stopped by — your questions, insights, and conversations made it such a rewarding experience.
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Paul Gavrikov @paulgavrikov.bsky.social · 24/04/2025
Today at 3pm - poster #328. See you there!
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Paul Gavrikov @paulgavrikov.bsky.social · 21/04/2025
On Thursday, I'll be presenting our paper "Can We Talk Models Into Seeing the World Differently?" (#328) at ICLR 2025 in Singapore! If you're attending or just around Singapore, l'd love to connect—feel free to reach out! Also, I’m exploring postdoc or industry opportunities–happy to chat!
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Paul Gavrikov @paulgavrikov.bsky.social · 01/02/2025
We should start boycotting proceedings that do not have a "cite this article" button.
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Paul Gavrikov @paulgavrikov.bsky.social · 27/01/2025
Proud to announce that our paper "Can We Talk Models Into Seeing the World Differently?" was accepted at #ICLR2025 🇸🇬. This marks my last PhD paper, and we are honored that all 4 reviewers recommended acceptance, placing us in the top 6% of all submissions.
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Paul Gavrikov @paulgavrikov.bsky.social · 13/01/2025
I analyzed the top 20 most common words in titles of all computer vision (cs.CV) papers on arxiv since 2007. A lot of "learning" papers ...
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Paul Gavrikov @paulgavrikov.bsky.social · 31/12/2024
10 years ago #ICLR (2014) only had 69 submissions, today nearly 12k. So many good papers: openreview.net/group?id=ICL...
openreview.net
ICLR 2014
Welcome to the OpenReview homepage for ICLR 2014
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Paul Gavrikov @paulgavrikov.bsky.social · 16/12/2024
Yeah, I am sure my paper on Feature Biases in ImageNet classifiers is a great match for a journal on lifestyle and sustainable goals.
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Paul Gavrikov @paulgavrikov.bsky.social · 15/12/2024
Today at #NeurIPS2024 Interpretable AI Workshop! Poster sessions are at 10am and 4pm. "How Do Training Methods Influence the Utilization of Vision Models?" arxiv.org/abs/2410.14470 We won’t be there, but Ruta Binkyte is presenting for us!
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Paul Gavrikov @paulgavrikov.bsky.social · 13/12/2024
Gemini 2.0 Flash is the best free-to-use LLM for writing tasks, blazing fast, and last-but-not-least available in the EU ...
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Paul Gavrikov @paulgavrikov.bsky.social · 07/12/2024
One of the most interesting aspects of adversarial training to me is not that it increases robustness, but it's ability to revert biases. If a model is strongly biased for X, it will likely completely ignore X at sufficient eps. This is clearly visible in the texture/shape bias!
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Paul Gavrikov @paulgavrikov.bsky.social · 03/12/2024
The adaption of ChatGPT amongst non-tech users is incredible - I see so many people in public transport using the app.
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Paul Gavrikov @paulgavrikov.bsky.social · 29/11/2024
Tired of showing the same old same adversarial attack examples? Generate your own with this little Foolbox-based Colab: colab.research.google.com/drive/1WfqEW...
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Paul Gavrikov @paulgavrikov.bsky.social · 28/11/2024
WILD! Some researchers from have republished ResNet under their own names at some predatory journal. @csprofkgd.bsky.social Predatory: ijircce.com/admin/main/s...
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Paul Gavrikov @paulgavrikov.bsky.social · 26/11/2024
#ICLR best rebuttal award goes to ...
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