cs.CV（2025-12-26）

📊 共 11 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (6) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱八：物理动画 (Physics-based Animation) (2) 支柱三：空间感知与语义 (Perception & Semantics) (1 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗⭐
1 iSHIFT: Lightweight Slow-Fast GUI Agent with Adaptive Perception iSHIFT：轻量级自适应感知慢-快GUI代理，提升交互效率与精度 large language model multimodal visual grounding
2 See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning 提出双向感知塑形方法以提升多模态推理能力 multimodal
3 Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models 提出BadVSFM，针对Prompt驱动的视频分割基础模型的后门攻击框架。 foundation model
4 Perceive and Calibrate: Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models 提出Inherent-enhanced Multi-modal Calibration (IMC)框架，提升医学多模态大语言模型在噪声环境下的鲁棒性。 large language model
5 SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis SLIM-Brain：一种数据和训练高效的fMRI分析基础模型 foundation model
6 Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models 提出DIOR：一种免训练的条件图像嵌入框架，利用大型视觉语言模型。 foundation model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
7 Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition 提出PAN框架，通过人体中心图表示学习实现更有效的多模态动作识别。 representation learning spatiotemporal multimodal
8 Yume-1.5: A Text-Controlled Interactive World Generation Model Yume-1.5：一种文本控制的交互式世界生成模型，提升实时性和可控性。 linear attention distillation

🔬 支柱八：物理动画 (Physics-based Animation) (2 篇)

#题目一句话要点标签🔗⭐
9 End-to-End 3D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration 提出XET-V2X，用于V2X协同中多模态融合的端到端3D时空感知。 spatiotemporal multimodal
10 LongFly: Long-Horizon UAV Vision-and-Language Navigation with Spatiotemporal Context Integration LongFly：针对长程无人机视觉-语言导航，提出时空上下文融合框架 spatiotemporal VLN multimodal

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
11 Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer 提出Reloc-VGGT，利用几何约束Transformer实现鲁棒高效的视觉重定位 VGGT spatial relationship ✅

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