| 1 |
Bifocal: Training-Free Mixed Granularity Visual Token Pruning for Multimodal LLMs |
提出Bifocal以解决多模态大语言模型的视觉标记修剪问题 |
large language model multimodal visual grounding |
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| 2 |
ReDiS: Reasoning-Diagnosis Self-Evolution for Multimodal Reasoning in Remote Sensing |
提出ReDiS框架以解决遥感多模态推理中的可靠性问题 |
large language model multimodal visual grounding |
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| 3 |
Visual Tokens on Demand: Visual Budgeting for Scalable and Efficient Multi-Image Reasoning in Multimodal LLMs |
提出mmVB以解决多图像推理中的视觉预算问题 |
large language model multimodal |
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| 4 |
LLM2R: From Large Language Models to 3D Reassemblers |
提出LLM2R以解决3D部件组装问题 |
large language model |
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| 5 |
Context-aware Bayesian Fusion for Multimodal Object Detection |
提出上下文感知贝叶斯融合以解决多模态物体检测问题 |
multimodal |
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| 6 |
Rethinking Projector Training in Multimodal LLMs |
提出PORTAL以简化多模态LLM的投影器训练 |
multimodal |
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| 7 |
Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters |
提出阶段共享适配器以提高多模态脑肿瘤分割性能 |
multimodal |
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| 8 |
Beyond the Encoder: Object-Centric Representations Emerging from Segmentation Foundation Models |
提出基于分割基础模型的对象中心表示以提升肿瘤预测 |
foundation model |
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| 9 |
Heading Hierarchy Reconstruction for Complex and Long Documents with Level-Wise Multimodal Memory |
提出基于多模态记忆的框架以重构复杂文档的层级结构 |
multimodal |
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| 10 |
PolUR: Polarization Aware Multimodal Degradation Perception for Underwater Image Restoration |
提出PolUR以解决水下图像恢复中的多模态退化感知问题 |
multimodal |
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| 11 |
dMRI-F: A Foundation Model for Generalizable Diffusion MRI Analysis from Sparse Acquisitions |
提出dMRI-F以解决稀疏采集下的扩散MRI分析问题 |
foundation model |
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| 12 |
MicroCLIP: Connecting Text and Microscopy Images via Contrastive Language--Image Pretraining |
提出MicroCLIP以解决显微镜图像与文本关联问题 |
large language model foundation model multimodal |
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| 13 |
Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation |
提出双向极性感知跨模态融合模块以解决多模态语义分割问题 |
multimodal |
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| 14 |
Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation |
提出统一基准以评估自监督3D医学视觉基础模型的迁移能力 |
foundation model |
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| 15 |
OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding |
提出OmniCompass以解决多模态视频理解评估不足问题 |
large language model multimodal |
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| 16 |
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models |
提出GeoReader以解决视觉语言模型中的空间推理问题 |
foundation model chain-of-thought |
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| 17 |
VideoJev: System One Model for Video Understanding and Interaction |
提出VideoJev以解决视频理解与交互问题 |
large language model multimodal |
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| 18 |
EmoGenie: Benchmarking and Evaluating Expressed and Evoked Emotion in T2I Generation with MLLMs |
提出EmoGenie基准以评估T2I生成图像中的情感表达与唤起 |
large language model multimodal |
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| 19 |
Hallucination-aware Faithful Reasoning in Remote Sensing |
提出FaithRS框架以解决遥感推理中的幻觉问题 |
large language model multimodal |
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| 20 |
Omni-RS: Unifying Multi-Task Understanding and Generation in Remote Sensing |
提出Omni-RS以解决遥感领域理解与生成能力不足的问题 |
large language model multimodal |
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| 21 |
When, Where, and Why: Hierarchical Causal Explainability for Video Face Understanding with MLLMs |
提出VideoFace-X-LLM框架以解决视频面部理解的可解释性问题 |
large language model multimodal |
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| 22 |
Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and Plan in Embodied Worlds? |
提出Plan-Bench以评估VLM在具身世界中的推理与规划能力 |
embodied AI |
✅ |
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| 23 |
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface |
提出AIRRI以解决教育评估中的机器文本提取问题 |
large language model |
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| 24 |
RSIgen: Reciprocal Self-Improvement for Agentic Visual Generation |
提出RSIgen框架以解决多模态生成中的学习分配问题 |
multimodal |
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| 25 |
MajorTOM:Elliot Pretrain, A Multi-Sensor, Multi-Temporal Pretraining Dataset for Earth Observation |
提出MajorTOM:Elliot Pretrain以解决地球观测数据预训练问题 |
foundation model |
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| 26 |
MemAct: Streaming Spatial Understanding with Memory and Active Exploration |
提出MemAct框架以解决流式空间理解中的记忆与主动探索问题 |
multimodal |
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