Vladan Stojnić (@stojnvla) 's Twitter Profile
Vladan Stojnić

@stojnvla

Ph.D. student at Visual Recognition Group, Czech Technical University in Prague.

ID: 1112338652800126976

linkhttps://stojnicv.xyz calendar_today31-03-2019 12:59:35

46 Tweet

64 Followers

498 Following

Tong Wei (@weitong8591) 's Twitter Profile Photo

Happy to share that this paper got accepted at WACV 2025 WACV. The code is updated for easy use :) Feel free to check it out! Wish everyone a happy NY🥳 arxiv: arxiv.org/pdf/2406.16204 code: github.com/weitong8591/vop

Dmytro Mishkin 🇺🇦 (@ducha_aiki) 's Twitter Profile Photo

ILIAS: Instance-Level Image retrieval At Scale Giorgos Kordopatis-Zilos, Vladan Stojnić , Anna Manko, Pavel Šuma, Nikolaos-Antonios Ypsilantis , Nikos Efthymiadis, Zakaria Laskar, Jiří Matas, Ondřej Chum, Giorgos Tolias tl;dr: new retrieval dataset with guaranteed GT. SigLIP rules. arxiv.org/abs/2502.11748 1/

ILIAS: Instance-Level Image retrieval At Scale

<a href="/g_kordo/">Giorgos Kordopatis-Zilos</a>, <a href="/stojnvla/">Vladan Stojnić</a> , Anna Manko, Pavel Šuma, <a href="/YpsilantisNikos/">Nikolaos-Antonios Ypsilantis</a> , Nikos Efthymiadis, Zakaria Laskar, Jiří Matas, Ondřej Chum, Giorgos Tolias

tl;dr: new retrieval dataset with guaranteed GT. SigLIP rules. 
arxiv.org/abs/2502.11748
1/
Giorgos Kordopatis-Zilos (@g_kordo) 's Twitter Profile Photo

ILIAS is a large-scale dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques

ILIAS is a large-scale dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques
Klára Janoušková (@klaaracz) 's Twitter Profile Photo

📢 ‼️ 📢 ‼️ New blog post alert ‼️ 📢 ‼️ 📢 We are finally publishing our blog post about ImageNet klarajanouskova.github.io/ImageNet/. Not only does it have many cute animals 🦦 🐈 🐋 , it also provides an overview of known issues, as well as new insights.

📢 ‼️ 📢 ‼️ New blog post alert ‼️ 📢 ‼️ 📢 
We are finally publishing our blog post about ImageNet klarajanouskova.github.io/ImageNet/.  
Not only does it have many cute animals 🦦 🐈 🐋 , it also provides an overview of known issues, as well as new  insights.
Giorgos Kordopatis-Zilos (@g_kordo) 's Twitter Profile Photo

Exciting News! Shoutout to Hugging Face🤗 for hosting ILIAS in its full scale! You can now easily download it via: huggingface.co/datasets/vrg-p… This is a milestone in i2i and t2i retrieval, paving the way for significant advancements. Huge thanks to HF team for their support!

Giorgos Kordopatis-Zilos (@g_kordo) 's Twitter Profile Photo

🚨 Call for Papers! 7th Instance-Level Recognition and Generation Workshop (ILR+G) at #ICCV2025 📍 Honolulu, Hawaii 🌺 📅 October 19–20, 2025 🌐 ilr-workshop.github.io/ICCVW2025/ in-proceedings deadline: June 7 out-of-proceedings deadline: June 30 #ICCV2025

Voxel51 (@voxel51) 's Twitter Profile Photo

One of the biggest bottlenecks in deploying visual AI and computer vision is annotation, which can be both costly and time-consuming. Today, we’re introducing Verified Auto Labeling, a new approach to AI-assisted annotation that achieves up to 95% of human-level performance while