Dear colleagues,
We are excited to inform you that the FOCUS: Foundation Models Creators meet Users workshop will be held on September 30th, 2024, at ECCV 2024 in Milan, Italy.
This workshop presents an excellent opportunity for those engaged in integrating cutting-edge foundation models into robotics pipelines and applications. It will be a platform to present your work, exchange ideas, and discuss future trends.
Please find more details about the workshop and important deadlines below.
Summary
- Workshop Website: https://focus-workshop.github.io/
- CMT Submission Page: https://cmt3.research.microsoft.com/FOCUS2024
- Submission Opening: June 15, 2024
- Submission Deadline: July 15, 2024 (11:59 p.m. CET)
- Author Notification: July 31, 2024
- Camera ready papers Deadline: August 15th, 2024
Workshop Overview
Over the last few years, the field of Artificial Intelligence has witnessed significant growth, largely fueled by the development of large-scale machine learning models, also called foundation models. Such general-purpose solutions often reveal potentials that go beyond what their creators originally envisioned, motivating users to adopt these models for a broad spectrum of applications.
The goal of this workshop is to identify and discuss strategies to assess both positive and negative (possibly unexpected) behaviors in the development and use of foundation models.
Particular attention will be given to applications that diverge significantly from the scenarios encountered during the training phase of foundational models. These include application-specific visual understanding, uncertainty evaluation, goal-conditioned reasoning, human habits learning, task and motion planning, scene navigation, vision-based manipulation, etc.
Our purpose is to foster an open discussion between foundation model creators and users, targeting the analysis of the most pressing open questions for the two communities and fostering new fruitful collaborations.
Call for Papers
The workshop calls for submissions addressing, but not limited to, the following topics:
New vision-and-language applications
Supervised vs unsupervised based foundation model and downstream tasks
Zero-shot, Few-shot, continual and life-long learning of foundation model
Open set, out-of-distribution detection and uncertainty estimation
Perceptual reasoning and decision making: alignment with human intents and modeling
Prompt and Visual instruction tuning
Novel evaluation schemes and benchmarks
Task-specific vs general-purpose models
Robustness and generalization
Interpretability and explainability
Ethics and bias in prompting
Submission guidelines
Papers should be submitted at:
https://cmt3.research.microsoft.com/FOCUS2024
We accept two types of submission:
Full papers: must present original research, not published elsewhere, and follow the ECCV main conference policies and format with a maximum length of 14 pages (extra pages with references only are allowed). Accepted full papers will be included in the ECCV 2024 Workshop proceedings. Supplemental materials are not allowed.
Short papers: previously or concomitantly published works that could foster the workshop objectives. Short-papers will have a maximum length of 4 pages (extra pages with references only are allowed), they will be presented without inclusion in the ECCV 2024 Workshop proceedings. Supplemental materials are not allowed.
The review process is double-blind and there is no rebuttal.
Speakers
Kira Zsolt, Professor, Georgia Tech
Ishan Misra, Director, Facebook AI Research
Hilde Kuehne, University of Bonn