cs.CV(2023-11-03)
📊 共 18 篇论文 | 🔗 5 篇有代码
🎯 兴趣领域导航
支柱三:空间感知与语义 (Perception & Semantics) (6 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (4)
支柱一:机器人控制 (Robot Control) (3 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (3 🔗2)
支柱五:交互与反应 (Interaction & Reaction) (1)
支柱七:动作重定向 (Motion Retargeting) (1)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation | 提出基于大规模预训练视觉模型的3D点云分割方法 | scene understanding foundation model | ||
| 2 | Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields | 提出3D不确定性场以解决NeRF预测不确定性问题 | NeRF neural radiance field | ||
| 3 | Efficient Cloud Pipelines for Neural Radiance Fields | 提出高效云管道以优化神经辐射场生成 | NeRF neural radiance field | ||
| 4 | EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation | 提出EXIM以解决文本引导的3D形状生成问题 | implicit representation | ✅ | |
| 5 | EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision | 提出EmerNeRF以解决动态驾驶场景的时空表示学习问题 | optical flow foundation model | ||
| 6 | Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion | 提出多模态图像融合框架以解决焦点区域与模态信息提取问题 | depth estimation | ✅ |
🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation | 提出基于原型自蒸馏的面部全表征学习方法以解决无监督学习挑战 | representation learning distillation | ||
| 8 | Holistic Representation Learning for Multitask Trajectory Anomaly Detection | 提出一种整体表示学习方法以解决多任务轨迹异常检测问题 | representation learning | ||
| 9 | Towards Calibrated Robust Fine-Tuning of Vision-Language Models | 提出一种新方法以同时提升视觉语言模型的OOD准确性与置信度校准 | distillation multimodal | ||
| 10 | Disentangled Representation Learning with Transmitted Information Bottleneck | 提出DisTIB以解决表示学习中的信息压缩与保留问题 | representation learning |
🔬 支柱一:机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? | 提出视觉表示评估方法以提升机器人操作的鲁棒性 | manipulation policy learning visual pre-training | ||
| 12 | Neural Collage Transfer: Artistic Reconstruction via Material Manipulation | 提出神经拼贴转移方法以解决拼贴艺术生成问题 | manipulation reinforcement learning | ✅ | |
| 13 | TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model | 提出TailorMe以解决人类形状建模的局限性问题 | manipulation physically plausible |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | LLM-driven Multimodal Target Volume Contouring in Radiation Oncology | 提出LLMSeg以解决放射肿瘤学中的靶区勾画问题 | large language model multimodal | ||
| 15 | Robust Fine-Tuning of Vision-Language Models for Domain Generalization | 提出一种新方法以增强视觉-语言模型在领域泛化中的鲁棒性 | foundation model | ✅ | |
| 16 | PILL: Plug Into LLM with Adapter Expert and Attention Gate | 提出PILL架构以解决多模态融合挑战 | large language model | ✅ |
🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 17 | Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection | 提出SG2HOI+框架以统一场景图生成与人机交互检测 | human-object interaction HOI |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 18 | Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination | 基于逻辑语义辨别的油泄漏区域图像识别方法 | spatial relationship |