[CfP] 8th Instance-Level Recognition and Generation Workshop @ ECCV2026

[Giorgos Kordopatis-Zilos]

[Apologies if you receive multiple copies]

Call for Papers – ILR+G@ECCV2026

8th Instance-Level Recognition and Generation (ILR+G) Workshop 
European Conference on Computer Vision, ECCV 2026
Malmö, Sweden, September 8-12th, 2026
https://ilr-workshop.github.io/ECCVW2026

relevant 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). Instance-level (IL) represents the finest granularity of visual understanding, where each unique object, scene, or event constitutes its own class. This contrasts with semantic-level (SL), which relies on broader class definitions based on general semantic content. For example, under SL, an artwork image may be labeled as (e.g.) “a painting”, whereas under IL, it is identified as a specific work, (e.g.) “Blue Poles” by Jackson Pollock. Two objects share a class label only if they are visually indistinguishable, naturally leading to open-world settings with vast numbers of classes and increased challenges. While ILR focuses on distinguishing specific instances, ILG aims to synthesize images or videos of a particular object while preserving its identity. Despite its importance in real-world applications, IL has received less attention than SL. This workshop aims to highlight core challenges, diverse applications, and common ground across ILR and ILG, while fostering exploration of potential synergies.

Relevant topics include (but are not limited to):

• instance-level object classification, detection, segmentation, and pose estimation
• particular object and event retrieval
• personalized image and video generation
• cross-modal/multi-modal recognition at instance-level
• other ILR tasks such as image matching, visual geo-localization, animal re-identification, copy detection, video tracking, moment retrieval
• other ILR+G applications, datasets, and benchmarks

Even though tasks such as person and vehicle re-identification fall within the definition of ILR, we intentionally omit them from the list of topics, due to ethical and social implications. Submitted papers on those topics will be desk rejected. 

submission details
We call for novel and unpublished work in the format of long papers (14 pages excluding references) and short papers (4 pages excluding references). Papers should follow the ECCV proceedings style and will undergo double-blind peer review. 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 ECCV workshop proceedings. This year, financial awards will be given to the best papers, and student support grants will be provided to eligible participants. All submissions will be handled electronically via the OpenReview submission system.

important dates
submission deadline: June 26, 2026
notification of acceptance: July 24, 2026
camera-ready papers due: August 15, 2026

invited speakers
Georgia Gkioxari, Caltech
Adam Harley, Meta Reality Labs
Richard Zhang, Adobe Research (TBC)

organising committee
Andre Araujo, Google DeepMind
Bingyi Cao, Google DeepMind
Kaifeng Chen, xAI
Ondrej Chum, Czech Technical University in Prague
Noa Garcia, University of Osaka
Guangxing Han, Google DeepMind
Giorgos Kordopatis-Zilos, Czech Technical University in Prague
Giorgos Tolias, Czech Technical University in Prague
Yankun Wu, University of Osaka
Hao Yang, Amazon
Nikolaos-Antonios Ypsilantis, Czech Technical University in Prague
Xu Zhang, Amazon