8th Instance-Level Recognition and Generation (ILR+G) Workshop Call for Papers

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8th Instance-Level Recognition and Generation (ILR+G) Workshop
European Conference on Computer Vision, ECCV 2026
Malmö, Sweden, September 8th, 2026
https://ilr-workshop.github.io/ECCVW2026
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Relevant topics
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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
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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
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submission deadline: July 3, 2026
notification of acceptance: July 24, 2026
camera-ready papers due: August 15, 2026


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


organising committee
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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