activity
20242026
most citedEcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 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★ 2 cited

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…

cs.GR2024

A Comparative Study of Neural Surface Reconstruction for Scientific Visualization

Siyuan Yao, Weixi Song, Chaoli Wang

This comparative study evaluates various neural surface reconstruction methods, particularly focusing on their implications for scientific visualization through reconstructing 3D s…