25 citations · 60 across the 6 of their papers we have counts for
6 papers
NeRD: Neural 3D Reflection Symmetry Detector
Yichao Zhou, Shichen Liu, Yi Ma
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry…
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
Yichao Zhou, Jingwei Huang, Xili Dai +4
We present HoliCity, a city-scale 3D dataset with rich structural information. Currently, this dataset has 6,300 real-world panoramas of resolution that are acc…
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction
Yichao Zhou, Shichen Liu, Yi Ma
3D reconstruction from a single RGB image is a challenging problem in computer vision. Previous methods are usually solely data-driven, which lead to inaccurate 3D shape recovery a…
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang +1
We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in images. Traditional convolution…
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Yichao Zhou, Haozhi Qi, Yuexiang Zhai +4
In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities. Our me…
End-to-End Wireframe Parsing
Yichao Zhou, Haozhi Qi, Yi Ma
We present a conceptually simple yet effective algorithm to detect wireframes in a given image. Compared to the previous methods which first predict an intermediate heat map and th…