The first ICCV 2025 Workshop
Findings


Date and Time to be announced soon! @ ICCV 2025 in Honolulu, HI, USA

Venue: Honolulu Convention Center, Room TBD | Virtual: link


Overview

This workshop introduces the concept of a findings-style track to the computer vision community. Findings tracks have been used in the NLP community since 2020 as a means to publish technically sound work, but which may not meet the main conference's threshold for novelty, impact, or excitement. There are many important results that the community should be made aware of, and this venue ensures an audience for these results without delays for further iterations of submissions or that might otherwise be lost if never published. This workshop provides a vehicle to discuss related experience and challenges with integrating a Findings track at computer vision conferences in an effort to advocate for a fully integrated Findings track as well as present Findings-quality papers to help highlight their potential impact and benefits to inform future conferences.

Call for Papers

We call for full papers (8 pages) to be presented at the 1st Workshop on the Findings of ICCV. This workshop aims to publish technically sound and well-executed papers, which may not meet the main conference's threshold for novelty or impact, similar to those accepted to the Findings track at NLP conferences since 2020. There are many important results that the community should be made aware of, and this venue ensures an audience for these results without delays for further iterations of re-submissions or that might otherwise be lost if never published. Thus, papers accepted by this workshop will contain solid, complete work on a broad spectrum of topics, unlike typical workshops focused on a particular topic and which may also accept works in progress. Accepted papers will be included in the conference proceedings (i.e., if accepted, it cannot be resubmitted elsewhere) with a presentation opportunity in the workshop.

To that end, submitted papers should be withdrawn or rejected from the main conference of ICCV’25 and will receive a new meta-review based on the Findings criteria. Authors are asked to submit their originally submitted paper, rebuttal, and any reviews or meta-reviews it received in the supplementary. Since accepted papers will be included in the conference proceedings, we will not accept papers that are under review at other venues. In addition, we will not consider works in progress that have not undergone at least one round of peer review.

We seek contributions on the same topics as the main conference (see the ICCV CfP for a list of topics). Submitted papers will be re-evaluated using the Findings criteria of technically sound work, but which may not meet the main conference's threshold for novelty, impact, or excitement.

Submission timeline


Paper submission: June 30th, 2025 23:59 US Hawaii Standard Time

Acceptance notification: ~July 9th, 2025


Submission materials (without any modification):

  • The paper version submitted (and subsequently rejected or withdrawn) to ICCV'25.
    • We will also consider papers submitted and rejected from ICML’25.
    • Note that papers should not be in submission to another venue.
  • In the supplementary, include:
    • The paper’s original supplementary material (if applicable).
    • A copy of the reviews, meta-review, and rebuttal.
OpenReview Submission Site

Keynote Speakers

To be announced soon.

Schedule

Time
Session
Presenter
8:45 - 9:00 am   
Welcome and Introduction
Organizers


Organizers

Margrit Betke

Yonatan Bisk

Juan C. Caicedo

Professor, Boston University
Assistant Professor, Carnegie Mellon University
Assistant Professor, University of Wisconsin-Madison

Grigorios Chrysos

Trevor Darrell

Deepti Ghadiyaram

Assistant Professor, University of Wisconsin-Madison
Professor, UC Berkeley
Assistant Professor, Boston University

Boqing Gong

Derek Hoiem

Ziwei Liu

Assistant Professor, Boston University
Professor, University of Illinois at Urbana-Champaign
Associate Professor, Nanyang Technological University

Bryan Plummer

Anna Rohrbach

Bryan Russell

Assistant Professor, Boston University
Professor, TU Darmstadt
Senior Research Scientist, Adobe Research

Kate Saenko

Humphrey Shi

Kevin Shih

Professor, Boston University
Associate Professor, Georgia Tech
Senior Research Scientist, NVIDIA

Contact Info


E-mail: iccv25.findings@gmail.com

Header image credits: Gemini 2.0: "Photorealistic image of machine vision system that is finding new scientific data out in the beaches of Honolulu in Hawaii."

Website based on https://vto-cvpr24.github.io/.