cs.CV(2024-01-06)
📊 共 12 篇论文 | 🔗 3 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (4 🔗2)
支柱三:空间感知与语义 (Perception & Semantics) (4 🔗1)
支柱八:物理动画 (Physics-based Animation) (2)
支柱二:RL算法与架构 (RL & Architecture) (1)
支柱六:视频提取与匹配 (Video Extraction) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models | 提出混合专家机制以解决多模态大语言模型的信息损失问题 | large language model multimodal instruction following | ||
| 2 | Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification | 提出多模态信息聚合分配机制以解决土地覆盖分类中的冗余问题 | multimodal | ✅ | |
| 3 | CaMML: Context-Aware Multimodal Learner for Large Models | 提出CaMML以提升大规模多模态模型的上下文理解能力 | multimodal | ✅ | |
| 4 | VLLaVO: Mitigating Visual Gap through LLMs | 提出VLLaVO以解决视觉领域跨域学习问题 | large language model |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding | 提出3DMIT以解决3D场景理解中的多模态指令调优问题 | scene understanding large language model | ✅ | |
| 6 | RustNeRF: Robust Neural Radiance Field with Low-Quality Images | 提出RustNeRF以解决低质量图像下的NeRF鲁棒性问题 | NeRF neural radiance field | ||
| 7 | Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping | 提出Hi-Map以解决单目高保真密集映射问题 | depth estimation NeRF neural radiance field | ||
| 8 | Group Activity Recognition using Unreliable Tracked Pose | 提出RePGARS以解决群体活动识别中的跟踪不可靠问题 | optical flow |
🔬 支柱八:物理动画 (Physics-based Animation) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis | 提出时空自适应压缩以解决科学数据存储与分析问题 | spatiotemporal | ||
| 10 | An Event-Oriented Diffusion-Refinement Method for Sparse Events Completion | 提出事件导向的扩散精炼方法以解决稀疏事件补全问题 | spatiotemporal TAMP |
🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Exploiting Data Hierarchy as a New Modality for Contrastive Learning | 提出层次对比学习方法以提升自监督学习效果 | contrastive learning |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 12 | Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting | 提出自监督框架以解决非参数化3D服装重定向问题 | SMPL |