collaborators

6 papers

cs.CV2026

Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery

Siyuan Yao, Siavash Ghorbany, Kuangshi Ai +6

We present a novel framework for automatically evaluating building conditions nationwide in the United States by leveraging large language models (LLMs) and Google Street View (GSV…

cs.CV2026

CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild

Siyuan Yao, Hao Sun, Ruiqi Yu +3

Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camoufl…

cs.GR2025

VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians

Siyuan Yao, Chaoli Wang

Visualization of large-scale time-dependent simulation data is crucial for domain scientists to analyze complex phenomena, but it demands significant I/O bandwidth, storage, and co…

cs.HC2025

EcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development

Siavash Ghorbany, Ming Hu, Siyuan Yao +2

The construction industry is a major contributor to global greenhouse gas emissions, with embodied carbon being a key component. This study develops EcoSphere, an innovative softwa…

cs.GR2025

iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting

Kaiyuan Tang, Siyuan Yao, Chaoli Wang

In volume visualization, users can interactively explore the three-dimensional data by specifying color and opacity mappings in the transfer function (TF) or adjusting lighting par…

cs.GR2025

ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenes

Siyuan Yao, Yunfei Lu, Chaoli Wang

Domain scientists often face I/O and storage challenges when keeping raw data from large-scale simulations. Saving visualization images, albeit practical, is limited to preselected…