Giorgos Kordopatis-Zilos
@gkordo.bsky.social
π€ 114
π₯ 267
π 24
Postdoct Researcher at Visual Recognition Group, CTU in Prague - gkordo.github.io/
π new state-of-the-art on ILIAS dataset! Curious how well the latest models can recognize particular objects? We evaluated the base and large variants of DINOv3 and Perception Encoder (PE) on instance-level image retrieval. See the results π
vrg.fel.cvut.cz/ilias/
18 days ago
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
22 days ago
The Colloquium in Pattern Recognition and Computer Vision of the Visual Recognition Group at CTU in Prague has a long tradition dating back to 1998. The list of all speakers is available
docs.google.com/spreadsheets...
. Enjoy! The 50th edition is coming soon
cmp.felk.cvut.cz/colloquium/
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Pattern Recognition and Computer Vision Colloquium - past speakers
https://docs.google.com/spreadsheets/d/1bPbao-2m7M9ke3kkRWyB607iicwpJEFBBMTFfQlSzaU/edit?usp=sharing
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reposted by
Giorgos Kordopatis-Zilos
Dmytro Mishkin
29 days ago
Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
@ryan-ramos.bsky.social
@stojnicv.xyz
@gkordo.bsky.social
Yuta Nakashima
@gtolias.bsky.social
@noagarciad.bsky.social
tl;dr: CLIP sees difference DSLR vs iphone, DINO doesn't.
arxiv.org/abs/2508.10637
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reposted by
Giorgos Kordopatis-Zilos
Vladan StojniΔ
about 1 month ago
Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?
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π¨ Deadline Extension Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @iccv.bsky.social π new deadline: June 26, 2025 (23:59 AoE) π paper submission:
cmt3.research.microsoft.com/ILRnG2025
π ILR+G website:
ilr-workshop.github.io/ICCVW2025/
#ICCV2025
#ComputerVision
#AI
3 months ago
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reposted by
Giorgos Kordopatis-Zilos
Spyros Gidaris
3 months ago
I am at
#CVPR2025
this week in Nashville! Presenting "Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers" on multi-modal semantic future prediction. Come discuss! Fri 13 Jun 10:30-12:30, poster #345
bsky.app/profile/sta8...
add a skeleton here at some point
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reposted by
Giorgos Kordopatis-Zilos
Vladan StojniΔ
3 months ago
Are you at
@cvprconference.bsky.social
#CVPR2025
? Come and check out LPOSS. We show how can graph-based label propagation be used to improve weak, patch-level predictions from VLMs for open-vocabulary semantic segmentation. π June 13, 2025, 16:00 β 18:00 CDT π Location: ExHall D, Poster #421
add a skeleton here at some point
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
3 months ago
VRG is presenting 8 papers at
#CVPR2025
. You can find me and collaborators at the following 4 posters: Fri 10:30-12:30 A Dataset for Semantic Segmentation in the Presence of Unknowns Fri 16:00-18:00 LOCORE: Image Re-ranking with Long-Context Sequence Modeling
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Are you at
@cvprconference.bsky.social
? Come by our poster! π Sat 14/6, 10:30-12:30 π Poster #395, ExHall D
add a skeleton here at some point
3 months ago
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reposted by
Giorgos Kordopatis-Zilos
Noa Garcia
4 months ago
The 2nd CEGIS workshop on visual generative models evaluation is back at
#ICCV2025
!! Submit your contributions: - Deadline: June 26th 2025 - Notification: July 10th, 2025 - Camera-ready: August 18th, 2025 See you in Honolulu!
sites.google.com/view/cegis-w...
@iccv.bsky.social
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cegis
2nd workshop on critical evaluation of generative models and their impact on society 19 or 20 October 2025 at ICCV 2025, Honolulu, Hawaii
https://sites.google.com/view/cegis-workshop/cegisiccv2025
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Call for Papers update - ILR+G workshop
@iccv.bsky.social
We will now feature a single submission track with new submission dates. π New submission deadline: June 21, 2025 π Submit here:
cmt3.research.microsoft.com/ILRnG2025
π More details:
ilr-workshop.github.io/ICCVW2025/
#ICCV2025
add a skeleton here at some point
4 months ago
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
5 months ago
VRG from CTU in Prague has 9 of its members listed as outstanding reviewers. Congratulations to
@gkordo.bsky.social
,
@billpsomas.bsky.social
,
@stojnicv.xyz
, Pavel Suma,
@ducha-aiki.bsky.social
, Miroslav PurkrΓ‘bek, Tomas Vojir, and Yaqing Ding.
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π¨ Call for Papers! 7th Instance-Level Recognition and Generation (ILR+G) Workshop at
@iccv.bsky.social
π Honolulu, Hawaii πΊ π October 19β20, 2025 π
ilr-workshop.github.io/ICCVW2025/
in-proceedings deadline: June 7 out-of-proceedings deadline: June 30
#ICCV2025
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ILR+G 2025
The Official Site of ICCV 2025 Workshop, Instance-Level Recognition and Generation Workshop
http://ilr-workshop.github.io/ICCVW2025/
5 months ago
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Exciting News! Shoutout to
@hf.co
π€ for hosting ILIAS in its full scale! You can now easily download it via:
huggingface.co/datasets/vrg...
This marks a milestone in i2i and t2i retrieval, paving the way for significant advancements in the field. Huge thanks to
@hf.co
team for their support!
add a skeleton here at some point
6 months ago
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ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future 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.
7 months ago
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reposted by
Giorgos Kordopatis-Zilos
Dmytro Mishkin
7 months ago
ILIAS: Instance-Level Image retrieval At Scale
@gkordo.bsky.social
, Vladan StojniΔ
@annetka.bsky.social
Pavel Ε uma, Nikolaos-Antonios Ypsilantis
@nikos-efth.bsky.social
Zakaria Laskar,JiΕΓ Matas, OndΕej Chum,
@gtolias.bsky.social
tl;dr: SigLIP rules. Lots of ablations
arxiv.org/abs/2502.11748
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
7 months ago
For PhD and MSc students interested in a research visit to Prague/VRG in 2025: we're open to hosting short-term collaborations or internships on a range of computer vision topics. If this sounds exciting, reach out by e-mail! We'd love to discuss potential projects. Some examples π§΅
#Internship
#CV
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reposted by
Giorgos Kordopatis-Zilos
Nikos Efthymiadis
10 months ago
1/n Bear with me for a moment: Imagine you train a model to classify photos, but you need it to generalize to paintings π¨. You only have data from photos, and the target domain is inaccessible due to cost or legal rights. You train many models and you validate on the source domain.
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reposted by
Giorgos Kordopatis-Zilos
Bill Psomas
10 months ago
π New paper alert: FREEDOM is here! Check out βComposed Image Retrieval for Training-FREE DOMain Conversion,β our training-free method for domain conversion with VLMs. π― π WACV 2025 π‘ Retrieve images using image+text queries! π
arxiv.org/abs/2412.03297
π
github.com/NikosEfth/fr...
#WACV2025
#AI
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Composed Image Retrieval for Training-Free Domain Conversion
This work addresses composed image retrieval in the context of domain conversion, where the content of a query image is retrieved in the domain specified by the query text. We show that a strong visio...
https://arxiv.org/abs/2412.03297
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reposted by
Giorgos Kordopatis-Zilos
Nikos Efthymiadis
10 months ago
1/ π Excited to share our work, "Composed Image Retrieval for Training-Free Domain Conversion", accepted at WACV 2025! π
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reposted by
Giorgos Kordopatis-Zilos
Dmytro Mishkin
10 months ago
Here is a small and cozy starter pack "Prague CV/ML". Most of the people here are not posting much, and I secretly hope that being in the list will motivate them to do so :P
go.bsky.app/G9TYiYQ
add a skeleton here at some point
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
10 months ago
Arxiv paper:
arxiv.org/abs/2408.03282
Code:
github.com/pavelsuma/ames
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AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
This work investigates the problem of instance-level image retrieval re-ranking with the constraint of memory efficiency, ultimately aiming to limit memory usage to 1KB per image. Departing from the p...
https://arxiv.org/abs/2408.03282
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reposted by
Giorgos Kordopatis-Zilos
Giorgos Tolias
10 months ago
Deep global descriptors give a convenient way for retrieval, but local descriptors are a game changer in finding needles in a haystack (particular objects in clutter). Due to their high cost, with AMES we optimize the performance/memory trade-off during re-ranking.
#ECCV2024
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