[visionlist] CFP: CVPR 2025 Workshop on Multimodal Algorithmic Reasoning (Submission Deadline Extension)

Tue Mar 11 09:01:55 -05 2025

Dear colleagues,
We are inviting submissions to the 4th edition of the Multimodal
Algorithmic Reasoning Workshop  at CVPR 2025. If you work in multimodal
learning, mathematical reasoning, large vision-and-language models, or
topics related to LLMs and cognition, we encourage you to submit your
latest research to our workshop. Please see the details below. Apologies
for cross-posting.

4th Edition of the Multimodal Algorithmic Reasoning Workshop (MAR 2025)

June 11 or 12th, 2025, Nashville, TN

Held in conjunction with CVPR 2025

https://marworkshop.github.io/cvpr25/

CALL FOR PAPERS

The focus of this workshop is to bring together researchers in multimodal
reasoning and cognitive models of intelligence, towards positioning the
current research progress in AI within the overarching goal of achieving
human-like machine intelligence and together develop new models for
algorithmic intelligence. An important goal is to bring to the forefront
problems in perception, language modeling, and cognition that are often
overlooked in state-of-the-art research and that are important for making
true progress in AI. To effectuate this goal, we plan to bring
together outstanding
faculty/researchers working at the intersections of vision, language, and
cognition to provide their opinions on the recent breakthroughs, as well as
showcase their cutting edge research that could inspire the audience to
search for the missing rungs on the ladder to true intelligence.

We invite you to submit high-quality papers to the workshop that propose
innovative approaches, theoretical insights, or practical applications
towards advancing this exciting field, as well as foster meaningful
discussions and collaborations.

__________________________________________________________________________

KEYNOTE SPEAKERS

   1.

   Dr. Cordelia Schmid <https://cordeliaschmid.github.io/> (Inria)
   2.

   Prof. Heng Ji <https://blender.cs.illinois.edu/hengji.html>(UIUC)
   3.

   Dr. Rishabh Agarwal <https://agarwl.github.io/> (Google DeepMind)
   4.

   Prof. Brenden M. Lake <https://cims.nyu.edu/~brenden/> (NYU)

___________________________________________________________________________

IMPORTANT DATES & DETAILS

Extended Submission deadline: ***March 19, 2025*** (11:59 PM PDT)  (March
12 earlier)

Paper decisions to authors: April 3, 2025

Camera-ready deadline: April 7, 2025

___________________________________________________________________________

TOPICS

We invite submissions of high-quality research papers in the topics related
to multimodal algorithmic reasoning. The topics for MAR 2025 include, but
are not limited to:

* Multimodal learning

* Algorithmic reasoning in vision, including program synthesis, planning,
and procedural learning

* Neural architectures and approaches for mathematical reasoning

* Architectures for aligning/integrating multimodal foundation models,
including vision, language, audio, and 3D content.

* Architectures for solving abstract multimodal reasoning/language-based IQ
puzzles, e.g., using sketches, diagrams, audio-visual clips, etc.

* New tasks, datasets, benchmarks, and models for multimodal reasoning
including algorithmic reasoning, neuro-symbolic reasoning, abstract
reasoning, mathematical reasoning, etc.

* Extreme generalization to new tasks and few-shot concept induction

* Synthetic data and automatic verification for reasoning

* Multimodal agents including programmable agent, tool-use agent, etc., for
reasoning tasks

* Position papers on novel perspectives to understand AI and human problem
solving

* Studies comparing AI and human problem solving skills, including but not
limited to: i) Perspectives from psychology, neuroscience, and educational
science, ii) Children's cognitive development, and iii) Limitations of
large vision-and-language models

* Vision-and-language applications.

___________________________________________________________________________

SUBMISSION INSTRUCTIONS

We have two tracks for paper submissions:

      1. Papers with IEEE/CVF workshop proceedings (≤ 8 pages)

      2. Papers without workshop proceedings (4 or  <=8 pages)

For track 1, we are inviting only original, previously unpublished papers,
and dual submissions are not allowed. The page limits described above are
excluding the references. Papers accepted to track 2 will not be included
in the proceedings, however will be publicly shared on the workshop
website. The submissions to this track can be novel/ongoing work (limited
to 4 pages) or accepted/previously published papers (limited to 8 pages),
both excluding references. Please see the workshop website for more details.

* All submissions are handled via the workshop’s CMT website:
https://cmt3.research.microsoft.com/MAR2025/.

* Submissions should be made in PDF format and should follow the official
CVPR 2025 template and guidelines.

* All submissions should maintain author anonymity and should abide by the
CVPR conference guidelines for double-blind review.

* Accepted papers will be presented as either an oral, spotlight, or poster
presentation. At least one author of each accepted submission must present
the paper at the workshop.

* Presentation of accepted papers at our workshop will follow the same
policy as that for accepted papers at the CVPR main conference

* Papers accepted in track 1 will be part of the CVPR 2025 workshop
proceedings.

* Authors may optionally upload supplementary materials, the deadline for
which is the same as that of the main paper and should be submitted
separately.

___________________________________________________________________________
WORKSHOP ORGANIZERS

Anoop Cherian <http://users.cecs.anu.edu.au/~cherian/>, Mitsubishi Electric
Research Laboratories

Kuan-Chuan Peng <https://www.merl.com/people/kpeng>, Mitsubishi Electric
Research Laboratories

Suhas Lohit <https://www.merl.com/people/slohit>, Mitsubishi Electric
Research Laboratories

Honglu Zhou <https://sites.google.com/view/hongluzhou/>, Salesforce AI
Research

Lu Xue <https://www.linkedin.com/in/le-tycho-xue-5abbb9157/>, Salesforce AI
Research

Kevin A. Smith <http://www.mit.edu/~k2smith/>, Massachusetts Institute of
Technology

Tim K. Marks <https://www.merl.com/people/tmarks>, Mitsubishi Electric
Research Laboratories

Joshua B. Tenenbaum <http://web.mit.edu/cocosci/josh.html>, Massachusetts
Institute of Technology

___________________________________________________________________________

CONTACT

Email: smart101 at googlegroups.com

Website: https://marworkshop.github.io/cvpr25/
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