Carview!

CARVIEW

MOTORHOMES

Select Language

HTTP/2 301 server: GitHub.com content-type: text/html location: https://ramoscsv.github.io/longvid_foundations/ x-github-request-id: 54F8:318CF6:9F328C:B2DFD7:6953B761 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 11:28:35 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210048-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767094115.972837,VS0,VE202 vary: Accept-Encoding x-fastly-request-id: 55cd98b4d5d745c1f4072fb9925c9392b457a458 content-length: 162 HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Sun, 19 Oct 2025 03:59:01 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"68f46205-7563" expires: Tue, 30 Dec 2025 11:38:35 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 67C2:123DE:9FE815:B3976B:6953B762 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 11:28:35 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210048-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767094115.188713,VS0,VE234 vary: Accept-Encoding x-fastly-request-id: 55ead0bc0ad8cdd05aa5fa48496e9fee9f4a3059 content-length: 6093 Longvid-Foundations

1st Workshop on Long Multi-Scene Video Foundations

Generation, Understanding and Evaluation

20th of October - Room 303B

Cutting-edge video modeling techniques have achieved impressive results in computer vision, especially in understanding and generating video content. However, these techniques are usually limited to short, single-scene videos and face challenges when applied to real-world scenarios involving complex, long-form narratives with multiple dynamic scenes. This workshop aims to bring together experts in long, multi-scene video modeling to discuss generation, understanding, evaluation, and ethical considerations. The workshop will establish a collaborative platform for exchanging recent breakthroughs and deliberating on the future direction of visual computing models capable of handling extended video content. Through this exchange of ideas and insights, we hope to overcome the challenges of creating and understanding long video narratives and contribute to their practical applications in various fields, including entertainment, education, and health.

Event Starts In:

Days

Hours

Minutes

Seconds

This workshop will be held at Honolulu, Hawaii as part of ICCV 2025.

News & Updates

Non-Proceedings Track

Open

Submission Deadline

August 30, 2025

Proceedings Track

Deadlines Postponed

New Submission Deadline

July 1, 2025

June 8, 2025

Call for Papers

We invite contributions that explore technical, methodological, and societal aspects of working with complex video data that spans extended temporal durations and diverse content. Topics of interest include, but are not limited to:

Multi-scene video generation, including text-to-video (T2V) approaches
Vision-language models designed for long-form video understanding and generation
Efficient training and inference strategies for large-scale video models
Techniques for editing long-form or multi-scene video content
Representation learning tailored to long videos
Ensuring long-term temporal consistency in generated or analyzed video sequences
Long-range reasoning and semantic understanding across scenes
Factuality and grounding in video generation and comprehension tasks
Development of evaluation metrics and benchmarks for long-form video
Analysis of ethical and societal implications of large-scale long video models

Submission Tracks

1. Proceedings Track

For the Proceedings Track, submitted papers are expected to present original, unpublished work and must adhere to a strict double-blind review process. To ensure anonymity, authors should carefully avoid including any identifying information within the paper itself. The formatting of your submission is crucial and must strictly follow the comprehensive guidelines detailed in the ICCV 2025 Author Kit. Submissions should be between 4 and 8 pages in length, with additional pages allowed exclusively for the list of references. Papers accepted into this prestigious track will be compiled and published in the official ICCV 2025 Workshop Proceedings and authors of accepted papers will have the opportunity to present their work in person at the workshop.

Submit to Proceedings Track via: OpenReview

2. No Proceedings Track

The No Proceedings Track offers a more flexible avenue for presenting a wider range of contributions. This track is well-suited for:

Extended abstracts and short papers: We welcome submissions of up to 4 pages that describe work still in progress, report negative findings that are valuable to the community, or articulate insightful position papers on relevant topics.
Previously published work: We also accept submissions of work that has already been published elsewhere. This includes papers that may have been accepted at the main ICCV 2025 conference itself.

Submit to No Proceedings Track via: OpenReview