cs.CV(2024-01-11)

📊 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) (10 🔗4) 支柱二:RL算法与架构 (RL & Architecture) (5 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱三:空间感知与语义 (Perception & Semantics) (10 篇)

#题目一句话要点标签🔗
1 Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery 提出Surgical-DINO以解决内窥镜手术中的深度估计问题 depth estimation 3D reconstruction foundation model
2 GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation 提出GO-NeRF以解决虚拟环境中3D对象生成与集成问题 NeRF neural radiance field
3 TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering 提出TRIPS以解决实时辐射场渲染中的模糊和不稳定问题 3D gaussian splatting gaussian splatting splatting
4 YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation 提出YOIO框架以解决光流估计中的遮挡问题 optical flow spatiotemporal
5 TriNeRFLet: A Wavelet Based Triplane NeRF Representation 提出TriNeRFLet以解决三维恢复质量不足问题 NeRF neural radiance field
6 A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy 研究自监督预训练以提升胃肠内窥镜视觉任务性能 depth estimation monocular depth
7 Gaussian Shadow Casting for Neural Characters 提出高斯阴影投射模型以解决神经角色阴影缺失问题 gaussian splatting splatting
8 Fast High Dynamic Range Radiance Fields for Dynamic Scenes 提出HDR-HexPlane以解决动态场景中的高动态范围图像合成问题 NeRF
9 RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks 提出RAVEN以高效生成长视频并解决时空依赖问题 optical flow
10 Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation 提出紧凑分段3D高斯模型以解决零样本神经场景分割问题 scene understanding

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
11 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs 提出Mixture of Features以解决多模态LLMs视觉短板问题 representation learning large language model multimodal
12 Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection 提出自交叉三元组相关性方法以提升人-物交互检测精度 distillation scene understanding human-object interaction
13 HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition 提出HiCMAE以解决音视频情感识别中的数据稀缺问题 representation learning masked autoencoder contrastive learning
14 Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing 提出高效组合正对配对方法以提升对比学习效果 representation learning contrastive learning
15 Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition 提出分层增强与蒸馏方法以解决增量音视频识别问题 distillation

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

#题目一句话要点标签🔗
16 Video Anomaly Detection and Explanation via Large Language Models 提出基于大语言模型的视频异常检测方法以解决阈值复杂性问题 large language model
17 GroundingGPT:Language Enhanced Multi-modal Grounding Model 提出GroundingGPT以解决多模态细粒度理解问题 large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
18 Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations 通过解耦虚假相关性与增强潜在相关性提升模型泛化能力 manipulation

⬅️ 返回 cs.CV 首页 · 🏠 返回主页