[visionlist] [CfP] - NEW DATES - 7th Instance-Level Recognition and Generation Workshop (ILR+G at ICCV2025)

[Giorgos Kordopatis-Zilos]

[Apologies if you receive multiple copies]

*Call for Papers - ILR+G at ICCV2025*

*7th Instance-Level Recognition and Generation Workshop*
International Conference on Computer Vision, ICCV 2025 
<https://iccv.thecvf.com/>
Honolulu, Hawaii, October 19-20 2025
https://ilr-workshop.github.io/ICCVW2025/

*Important dates*

  * submission deadline: June 21, 2025
  * notification of acceptance: July 10, 2025
  * camera-ready papers due: August 17, 2025


*Topics*
The Instance-Level Recognition and Generation (ILR+G) Workshop aims to 
explore computer vision tasks focusing on specific instances rather than 
broad categories, covering both recognition (instance-level recognition 
- ILR) and generation (instance-level generation - ILG). Unlike 
category-level recognition, which assigns broad class labels based on 
semantics (e.g., “a painting”), ILR focuses on distinguishing specific 
instances, assigning class labels that refer to particular objects or 
events (e.g., “Blue Poles” by Jackson Pollock), enabling recognition, 
retrieval, and tracking at the finest granularity. This year, the 
workshop also covers ILG, also known as personalized generation, which 
involves synthesizing new media that preserve the visual identity of a 
particular instance while varying context or appearance, often guided by 
text.  We encourage the exploration of synergies between ILR and ILG, 
such as using recognition as a foundation for instance-conditioned 
generation, or leveraging generative models to boost ILR in low-data or 
open-set scenarios.

Relevant topics include (but are not limited to):

  * instance-level object classification, detection, segmentation, and
    pose estimation
  * particular object (instance-level) and event retrieval
  * personalized (instance-level) image and video generation
  * cross-modal/multi-modal recognition at instance-level
  * other ILR tasks such as image matching, place recognition, video
    tracking, moment retrieval
  * other ILR+G applications or challenges
  * ILR+G datasets and benchmarking

The task of person and vehicle re-identification clearly falls within 
our definition of ILR. Nevertheless, because of its social implications, 
we intentionally omit it from the list of topics.

*Submission details*
We call for novel and unpublished work in the format of long papers (up 
to 8 pages) and short papers (up to 4 pages). Papers should follow the 
ICCV proceedings style 
<https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines> and will be 
reviewed in a double-blind fashion. Selected long papers will be invited 
for oral presentations; all accepted papers will be presented as 
posters. Only long papers will be published in the ICCV workshop 
proceedings. All submissions will be handled electronically via the CMT 
conference submission website 
<https://cmt3.research.microsoft.com/ILRnG2025>.
*
Organizing committee*
Andre Araujo, Google DeepMind
Bingyi Cao, Google DeepMind
Kaifeng Chen, Google DeepMind
Ondrej Chum, Czech Technical University in Prague
Noa Garcia, Osaka University
Guangxing Han, Google DeepMind
Giorgos Kordopatis-Zilos, Czech Technical University in Prague
Giorgos Tolias, Czech Technical University in Prague
Hao Yang, Amazon
Nikolaos-Antonios Ypsilantis, Czech Technical University in Prague
Xu Zhang, Amazon
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