Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile
Sarah Ibrahimi

@sarahibrahimi_

Student Researcher @Google | PhD student in Computer Vision | University of Amsterdam. Interned @AmazonScience and @naverlabseurope.

ID: 1233034831031939073

linkhttps://saibr.github.io calendar_today27-02-2020 14:23:22

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217 Followers

201 Following

Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile Photo

Really excited to share that our paper 'Learning with Label Noise for Image Retrieval by Selecting Interactions' has been accepted at WACV2022! Work done during my internship at NAVER LABS Europe with Arnaud Sors, Rafael S Rezende, and Stéphane Clinchant. Preprint is coming soon.

Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile Photo

Happy to share that our paper on Inside Out Visual Place Recognition got accepted at #BMVC2021! This work has been done with @nannevn, Tim Alpherts and Marcel Worring. The paper and code can be found at bit.ly/3r6RuDG. Join our poster session tomorrow at 10am or 4pm UTC!

Happy to share that our paper on Inside Out Visual Place Recognition got accepted at #BMVC2021! This work has been done with @nannevn, Tim Alpherts and Marcel Worring. The paper and code can be found at bit.ly/3r6RuDG. Join our poster session tomorrow at 10am or 4pm UTC!
Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile Photo

What a great experience to attend an in-person conference again after 2 years at this amazing location in Hawaii! 🌴 Thanks to the organizers who put all the effort to make it happen! #WACV2022

What a great experience to attend an in-person conference again after 2 years at this amazing location in Hawaii! 🌴 Thanks to the organizers who put all the effort to make it happen! #WACV2022
Papers with Datasets (@paperswithdata) 's Twitter Profile Photo

🖼️The Met Dataset: a large-scale dataset for instance-level recognition in the artwork domain. Consists of 400k images from more than 224k classes. It can be used for research in few-shot learning, self-supervised and supervised contrastive learning. paperswithcode.com/dataset/met

🖼️The Met Dataset: a large-scale dataset for instance-level recognition in the artwork domain. Consists of 400k images from more than 224k classes.

It can be used for research in few-shot learning, self-supervised and supervised contrastive learning.

paperswithcode.com/dataset/met
Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile Photo

Are you at #ICCV2023 and interested in Text-to-Video Retrieval with the help of Audio? Visit our poster on Thursday 2.30-4.30pm in Foyer Sud-185 and our oral in the VL track at 4.30-6pm in P02! I’m also presenting the poster at the #WiCV workshop today at 5.20-6pm. See you there!

Pascal Mettes (@pascalmettes) 's Twitter Profile Photo

Our survey "Hyperbolic Deep Learning in Computer Vision: A Survey" has been accepted to #IJCV! The survey provides an organization of supervised and unsupervised hyperbolic literature. Online now: link.springer.com/article/10.100… w/ Mina Ghadimi Martin Keller-Ressel jeff @syeung10

Pascal Mettes (@pascalmettes) 's Twitter Profile Photo

We will have the first workshop on “Hyperbolic and Hyperspherical Learning in Computer Vision” at ECCV'24! With leading speakers and your latest works. Our submission site will open soon to receive your new or recently published work, join us in Milan! sites.google.com/view/beyondeuc…

Sarah Ibrahimi (@sarahibrahimi_) 's Twitter Profile Photo

Happy to share that the final paper of my PhD got accepted at #TMLR! I'm very grateful for this collaboration and the chance to work in this exciting field of hyperbolic learning. The paper can be found here: openreview.net/pdf?id=P5D2gfi…