cs.CV(2023-11-17)

📊 共 12 篇论文

🎯 兴趣领域导航

支柱三:空间感知与语义 (Perception & Semantics) (4) 支柱二:RL算法与架构 (RL & Architecture) (4) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱五:交互与反应 (Interaction & Reaction) (1) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱三:空间感知与语义 (Perception & Semantics) (4 篇)

#题目一句话要点标签🔗
1 Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis 提出压缩3D高斯点云以加速新视角合成 3D gaussian splatting gaussian splatting splatting
2 SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos 提出SplatArmor以解决单目RGB视频中的人类动画建模问题 gaussian splatting splatting SMPL
3 Removing Adverse Volumetric Effects From Trained Neural Radiance Fields 提出一种方法以去除神经辐射场中的雾霾影响 NeRF neural radiance field
4 A Video-Based Activity Classification of Human Pickers in Agriculture 提出视频基础的人类采摘者活动分类方法以提升农业效率 optical flow motion estimation

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
5 Informative Priors Improve the Reliability of Multimodal Clinical Data Classification 提出M2D2先验以提升多模态临床数据分类的可靠性 predictive model multimodal
6 Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner 提出3D到多视图学习器以解决3D自监督学习中的输入依赖问题 representation learning masked autoencoder MAE
7 Multi-entity Video Transformers for Fine-Grained Video Representation Learning 提出多实体视频变换器以解决细粒度视频表示学习问题 representation learning
8 DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection 提出DSD-DA框架以解决源偏差问题 distillation

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
9 Multimodal Indoor Localization Using Crowdsourced Radio Maps 提出基于众包无线电地图的室内定位系统以解决传统方法的局限性 multimodal
10 Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA 提出跨模态融合框架以提升多种视网膜疾病的诊断能力 multimodal

🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)

#题目一句话要点标签🔗
11 Boosting Multimodal Remote Sensing Image Classification with Transformer-based Heterogeneously Salient Graph Representation 提出基于变换器的异质显著图表示以解决多模态遥感图像分类问题 HSI multimodal

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
12 A Language Agent for Autonomous Driving 提出Agent-Driver以解决传统自动驾驶系统的智能不足问题 motion planning large language model chain-of-thought

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