Today’s interconnected world presents unique challenges for intelligent systems in processing and
integrating diverse data modalities, including text, audio, and visual data.
However, traditional closed-world paradigms can fall short when faced with unseen classes and novel
scenarios, which frequently emerge in complicated real-world environments.
We propose the consideration of open-world learning as a way to build intelligent systems that are
highly adaptable while also being robust and trustworthy, capable of tackling highly dynamic and
creative tasks.
Here, the integration of privacy-preserving techniques is crucial as data sources expand,
particularly in high-stakes applications such as autonomous navigation systems for public safety.
These systems must discern and adapt to evolving traffic patterns, weather conditions, and user
behaviors in real time, underscoring the necessity of continuous learning and resilience against
adversities.
By exploring these critical challenges, this workshop aims to foster discussions that advance the
development of trustworthy, multi-modal systems capable of thriving in open-world contexts.
Submission Site: TMM-OpenWorld@CVPR 2025.
Author Kit: CVPR
Author KIT.
We invite submissions of both short and long papers (4 pages and 8 pages respectively excluding
references).
Potential topics include but are not limited to:
Open-World Multi-Modal Learning:
Strategies to train systems on both labeled and unlabeled data while distinguishing known from unknown classes.
Dynamic Multi-Modal Vocabulary Expansion:
Approaches to enable models to recognize and adapt to an expanding range of concepts using diverse inputs.
Robustness in Multi-Modal Systems:
Methods to improve resilience against distribution shifts, adversarial attacks, and noise across modalities.
Multi-Modal Class Discovery:
Techniques for identifying new classes across different modalities (e.g., visual, text, audio, touch).
Continual and Federated Learning for Multi-Modal Data:
Innovative techniques that support ongoing learning and adaptation in decentralized environments.
Application-Focused Contributions:
Research that showcases specific applications, such as autonomous navigation systems in urban environments that leverage multi-modal data for enhanced decision-making.
Awards
We will select six oral paper and set one best paper award according to the review results and presentation of a paper.
Important Dates
Dates and Deadlines
Workshop paper submission
24 March, 2025
Workshop paper notification
1 April, 2025
Workshop paper camera - ready
7 April, 2025
Workshops
11 June, 2025
Schedule
June 11th 2025
Morning Session
8:15 AM - 8:45 AM
3 Oral Presentations: 30 mins, each of which has 10 mins.
8:45 AM - 9:15 AM
Invited Talk 1: TBD
9:15 AM - 9:45 AM
Invited Talk 2: TBD
9:45 AM - 10:15 AM
Invited Talk 3: TBD
10:15 AM - 10:45 AM
Invited Talk 4: TBD
10:45 AM - 11:00 AM
Coffee Break
11:00 AM - 12:00 AM
Poster Presentations and Networking.
Afternoon Session
2:00 PM - 2:30 PM
3 Oral Presentations: 30 mins, each of which has 10 mins.
