Instance-Level Recognition Workshop at ECCV'24


Our workshop is focused on visual Instance-Level Recognition (ILR), with a primary objective of identifying, comparing, or synthesizing images related to specific objects, scenes, or events. Unlike the broad categorization found in category-level recognition, where classes are defined semantically (e.g., "a chair"), ILR delves into tasks with the utmost granularity in class definition, such as identifying "the chair of my desk".

This year, we expand the scope of our workshop by introducing a call for papers, in addition to hosting keynote talks by renowned speakers and invited paper talks from the main conference.

The 2024 Instance-Level Recognition (ILR) Workshop is a follow-up of five successful editions of our previous workshops — the first two having focused only on landmark recognition (CVPRW18, CVPRW19), the following ones expanding to the domains of artworks and products (ECCVW20, ICCVW21), and the latest one introducing the universal image embedding problem (ECCVW22).

Call For Papers

We call for novel and unpublished work in the format of long papers (14 pages excluding references) and short papers (4 pages excluding references).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 be reviewed in a double-blind fashion. Accepted papers will be presented at the workshop either as a poster or as an oral talk. Only long papers will be published in the ECCV workshop proceedings. All submissions will be handled electronically via the OpenReview conference submission website.

Topics of interest include

  • particular object/event retrieval
  • instance-level object classification, detection and pose estimation
  • image matching and video tracking
  • instance-level image generation
  • other ILR applications
  • universal feature learning for instance-level recognition
  • challenges in ILR, such has long-tail distribution and open vocabulary
  • evaluation of large-scale ILR system
  • ILR datasets
  • leveraging Vision-Language-Models (VLM) to solve ILR problems
  • visual geo-localization

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

    Important Dates

  • Submission deadline: July 25th, 2024
  • Paper notification: August 8th, 2024
  • Camera-ready deadline: August 15th, 2024
  • Workshop date: September 30th, 2024
  • Questions? Please reach out to us at

    Invited Speakers

    Cordelia Schmid

    Research Director at INRIA and Google DeepMind

    Varun Jampani

    Lead Researcher at Stability AI

    Giorgos Kordopatis-Zilos

    Postdoctoral Researcher at the CTU in Prague


    Andre Araujo

    Google DeepMind (Primary Contact)

    Bingyi Cao

    Google DeepMind

    Kaifeng Chen

    Google DeepMind

    Ondrej Chum

    Czech Technical University

    Noa Garcia

    Osaka University

    Bohyung Han

    Seoul National University

    Guangxing Han

    Columbia University

    Giorgos Tolias

    Czech Technical University

    Hao Yang


    Nikolaos-Antonios Ypsilantis

    Czech Technical University

    Xu Zhang


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