75 citations · 80 across the 7 of their papers we have counts for
7 papers
Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics
Xinxin Zhuo, Mengyuan Niu, Ruizhe Wang +2
Micro-scale street-level economic assessment is fundamental for precision spatial resource allocation. While Street View Imagery (SVI) advances urban sensing, existing approaches r…
Controllable Generation of Large-Scale 3D Urban Layouts with Semantic and Structural Guidance
Mengyuan Niu, Xinxin Zhuo, Ruizhe Wang +3
Urban modeling is essential for city planning, scene synthesis, and gaming. Existing image-based methods generate diverse layouts but often lack geometric continuity and scalabilit…
GeoTexBuild: 3D Building Model Generation from Map Footprints
Ruizhe Wang, Junyan Yang, Qiao Wang
We introduce GeoTexBuild, a modular generative framework for creating 3D building models from footprints derived from site planning or map designs. The system is designed for archi…
Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures
Ruizhe Wang, Chunliang Hua, Tomakayev Shingys +6
The photorealistic reconstruction and rendering of architectural scenes have extensive applications in industries such as film, games, and transportation. It also plays an importan…
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems
Furkan Durmus, Hasan Saribas, Said Aldemir +2
Multi-Task Learning (MTL) plays a crucial role in real-world advertising applications such as recommender systems, aiming to achieve robust representations while minimizing resourc…
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu, Fabio Miranda, Weiting Xiong +3
Predicting commuting flows based on infrastructure and land-use information is critical for urban planning and public policy development. However, it is a challenging task given th…