8 citations · 17 across the 9 of their papers we have counts for
9 papers
Floor Plan Exploration Framework Based on Similarity Distances
Chia-Ying Shih, Chi-Han Peng
Computational methods to compute similarities between floor plans can help architects explore floor plans in large datasets to avoid duplication of designs and to search for existi…
Optimizing Placements of 360-degree Panoramic Cameras in Indoor Environments by Integer Programming
Syuan-Rong Syu, Chi-Han Peng
We propose a computational approach to find a minimal set of 360-degree camera placements that together sufficiently cover an indoor environment for the building documentation prob…
H&E Stain Normalization using U-Net
Chi-Chen Lee, Po-Tsun Paul Kuo, Chi-Han Peng
We propose a novel hematoxylin and eosin (H&E) stain normalization method based on a modified U-Net neural network architecture. Unlike previous deep-learning methods that were oft…
High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration
Chi-Han Peng, Jiayao Zhang
We propose a novel approach to compute high-resolution (2048x1024 and higher) depths for panoramas that is significantly faster and qualitatively and qualitatively more accurate th…
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network
Jheng-Wei Su, Chi-Han Peng, Peter Wonka +1
Reconstructing 3D layouts from multiple panoramas has received increasing attention recently as estimating a complete layout of a large-scale and complex room from a…
Distortion Reduction for Off-Center Perspective Projection of Panoramas
Chi-Han Peng, Jiayao Zhang
A single Panorama can be drawn perspectively without distortions in arbitrary viewing directions and field-of-views when the camera position is at the origin. This is a key advanta…
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
Shang-Ta Yang, Fu-En Wang, Chi-Han Peng +3
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama. To achieve better prediction accuracy, our method leve…
Computational Network Design from Functional Specifications
Chi-Han Peng, Niloy J. Mitra, Fan Bao +2
Connectivity and layout of underlying networks largely determine the behavior of many environments. For example, transportation networks determine the flow of traffic in cities, or…