Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches

StreetviewLLM：利用思维链多模态大语言模型提取地理信息

StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model

本文提出StreetViewLLM框架，将大语言模型与思维链推理及街景图像、地理坐标、文本等多模态数据结合，并利用检索增强生成技术提升地理空间预测精度，在七个全球城市的五项城市指标预测中均优于基线模型。

下一步做什么？从第一人称教学视频中记忆技能

What to Do Next? Memorizing skills from Egocentric Instructional Video

本文研究第一人称仿真环境中的交互式动作规划，提出结合拓扑可供性记忆与Transformer的方法，以学习环境表示、选择动作并检测偏差，实验证明其性能提升且对动作偏差具有鲁棒性。

Extracting urban impervious surface from GF-1 imagery using one-class classifiers

Impervious surface area is a direct consequence of the urbanization, which also plays an important role in urban planning and environmental management. With the rapidly technical development of remote sensing, monitoring urban impervious surface via high spatial resolution (HSR) images has attracted unprecedented attention recently. Traditional multi-classes models are inefficient for impervious surface extraction because it requires labeling all needed and unneeded classes that occur in the image exhaustively. Therefore, we need to find a reliable one-class model to classify one specific land…

EmbodiedGPT：通过具身思维链进行视觉-语言预训练

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

提出端到端多模态基础模型 EmbodiedGPT，通过构建 EgoCOT 数据集、前缀微调 7B LLM 及提取任务特征闭环，显著提升了具身智能体的规划与控制能力。

Extracting Contact and Motion from Manipulation Videos

When we physically interact with our environment using our hands, we touch objects and force them to move: contact and motion are defining properties of manipulation. In this paper, we present an active, bottom-up method for the detection of actor-object contacts and the extraction of moved objects and their motions in RGBD videos of manipulation actions. At the core of our approach lies non-rigid registration: we continuously warp a point cloud model of the observed scene to the current video frame, generating a set of dense 3D point trajectories. Under loose assumptions, we employ simple poi…

基于深度学习的可扩展图像到三维立面解析器，用于生成热三维建筑模型

Deep Learning-based Scalable Image-to-3D Facade Parser for Generating Thermal 3D Building Models

本文提出SI3FP，一种基于深度学习的图像到三维立面解析流程，通过直接建模几何基元生成LoD3热模型，在瑞典住宅测试中窗墙比误差约5%，支持大规模翻新规划。