MULA 2026 Call for Papers – Multimodal Learning Workshop

Brief Information

The MULA 2026 Call for Papers is now open for the 9th Multimodal Learning and Applications Workshop, to be held in conjunction with CVPR 2026. This international workshop provides a dedicated platform for cutting-edge research on multimodal learning, representation, and applications. Researchers are invited to submit their papers by March 9, 2026 (AoE).

Key Dates & Details

• Workshop Name: 9th Multimodal Learning and Applications Workshop (MULA 2026)
• Conference: CVPR 2026
• Submission Deadline: March 9, 2026 (Anywhere on Earth – AoE)
• Type: Academic workshop / Call for Papers
• Format: In-person at CVPR (with possible hybrid elements)
• Field: Multimodal Learning, Computer Vision, Machine Learning, AI

Overview

The MULA 2026 Call for Papers invites high-quality research contributions addressing the rapidly evolving field of multimodal learning. As modern AI systems increasingly rely on multiple data modalities—such as vision, language, audio, and sensor data—multimodal learning has become a cornerstone of progress in computer vision and machine learning.

Now in its 9th edition, the Multimodal Learning and Applications Workshop has established itself as a focused and influential forum within the CVPR community. The workshop aims to bring together researchers and practitioners working on multimodal representation learning, fusion techniques, cross-modal reasoning, and real-world applications of multimodal AI systems.

MULA 2026 encourages submissions that bridge theory and practice, including novel algorithms, benchmark datasets, evaluation methods, and applied systems. The workshop also values interdisciplinary approaches that connect multimodal learning with areas such as robotics, healthcare, education, human–computer interaction, and embodied AI.

Accepted papers will be presented to a highly specialized and international audience, offering authors strong visibility, feedback from leading experts, and opportunities for collaboration. For early-career researchers and PhD students, the MULA 2026 Call for Papers is an excellent opportunity to showcase work within the broader CVPR ecosystem.

In addition, MULA 2026 aims to foster deeper dialogue around emerging challenges in multimodal learning, including scalability, robustness, fairness, and generalization across modalities and domains. The workshop encourages discussions on foundation models, large-scale multimodal pretraining, and alignment between vision, language, and other sensory inputs. By bringing together researchers from academia and industry, MULA 2026 creates a collaborative environment where novel ideas can be refined through expert feedback. Participation in the workshop also enables authors to position their work within one of the most influential computer vision communities globally, strengthening academic visibility and long-term research impact.

Eligibility

Submissions to the MULA 2026 Call for Papers are open to:

• PhD students and early-career researchers
• Academic researchers and faculty members
• Industry researchers and applied scientists
• Interdisciplinary teams working on multimodal AI

Both theoretical and applied research contributions are welcome.

Submission Details

• Papers must be submitted according to the official workshop guidelines.
• Submissions should focus on multimodal learning methods, models, or applications.
• Authors should ensure originality and compliance with CVPR workshop standards.
• The submission deadline is March 9, 2026 (AoE)—late submissions will not be accepted.

For broader background on multimodal AI research trends, authors may also consult open research resources such as recent survey papers available on arXiv.

FAQ

Official Link

👉 Read the full MULA 2026 call and submit your paper here:
https://mula-workshop.github.io

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