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Computer vision is shifting from task-specific pipelines to general-purpose multimodal foundation models. Yet current systems remain fragmented: perception models recognize, generative models synthesize, and reasoning often occurs mainly in language space. This separation limits scalability, transferability, and holistic scene understanding.
Recent progress in multimodal large models, neural scene representations, video foundation models, and embodied world models suggests these directions are converging. UniWorld targets this moment by promoting universal representations that unify perception, reasoning, generation, and interaction within a coherent framework.
Despite rapid advances, core challenges remain: designing architectures for heterogeneous data, mitigating task interference, enabling compositional reasoning, and achieving robust generalization across domains. By bringing together researchers across foundation models, multimodal learning, and world modeling, UniWorld aims to catalyze principled approaches toward generalizable visual intelligence.
| Time | Session | Topic / Details |
|---|---|---|
| 08:45-09:00 | Welcome | Opening remarks |
| 09:00-09:40 | Invited Speaker 1 | TBC |
| 09:40-10:20 | Invited Speaker 2 | TBC |
| 10:20-10:40 | Coffee Break + Posters | - |
| 10:40-11:20 | Invited Speaker 3 | TBC |
| 11:20-12:00 | Invited Speaker 4 | TBC |
| 12:00-13:00 | Lunch + Posters | - |
| 13:00-13:40 | Invited Speaker 5 | TBC |
| 13:40-14:20 | Invited Speaker 6 | TBC |
| 14:20-14:40 | Coffee Break + Posters | - |
| 14:40-15:20 | Invited Speaker 7 | TBC |
| 15:20-16:00 | Invited Speaker 8 | TBC |
| 16:00-16:50 | Contributed Oral Papers | 5 x 10-minute presentations |
| 16:50-17:10 | Awards + Closing + Social | - |
Technische Universität München
Nanyang Technological University
University of Bristol
York University / Samsung AI
University of Tubingen
Wayve
University of Amsterdam
National University of Singapore
MMLab, CUHK
University of Bristol
University of Bristol
NVIDIA Research
Google Research
Princeton University
Mila, University of Montreal
MMLab, CUHK / SLAI / JC STEM Lab of AI4SE
MMLab, CUHK
University of Trento
University of Oxford