| 1 |
Benchmarking Intra-Patient 3D Deformable Multimodal Image Registration |
提出全面基准测试以解决多模态图像配准挑战 |
foundation model multimodal |
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| 2 |
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models |
提出PhysBrain 1.5以解决物理环境理解与预测问题 |
foundation model multimodal |
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| 3 |
SURE-Map: Self-Correcting Streaming Geometric Foundation Model |
提出SURE-Map以解决流式几何重建中的自我修正问题 |
foundation model |
✅ |
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| 4 |
V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive Environments |
提出V-ICAL基准以评估多模态代理在互动环境中的视频上下文学习能力 |
multimodal |
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| 5 |
Query-Conditioned Spherical Centroid Aggregation for Multimodal Retrieval |
提出SCALAR以解决多模态检索中的均匀影响问题 |
multimodal |
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| 6 |
Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval |
提出超图正则化Gramian体积以提升多模态检索性能 |
multimodal |
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| 7 |
woma: a real-time foundation model and its fine-tuned models for endoscopy |
提出woma模型以解决内窥镜实时分析问题 |
foundation model |
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| 8 |
TwinICL: Diagnosing Multimodal In-Context Learning through Paired Counterfactuals |
提出TwinICL以解决多模态上下文学习性能评估问题 |
multimodal |
✅ |
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| 9 |
LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows |
提出LynnReal-Omni以解决视频生成控制难题 |
multimodal instruction following |
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| 10 |
Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding |
提出Circuit-MLLM以解决电路原理图理解问题 |
large language model multimodal |
✅ |
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| 11 |
MarKey: Marginal Utility Guided Greedy Keyframe Selection for Long Video Understanding |
提出MarKey以解决长视频理解中的关键帧选择问题 |
large language model multimodal |
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| 12 |
Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation |
提出CORAL以解决医疗报告生成中的可解释性问题 |
large language model multimodal |
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| 13 |
PACE: Progressive Angular-to-Norm Contrastive Embedding |
提出PACE框架以解决多模态嵌入中的角度与范数信息优化问题 |
multimodal |
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