53 citations · 65 across the 6 of their papers we have counts for
6 papers
Homography Loss for Monocular 3D Object Detection
Jiaqi Gu, Bojian Wu, Lubin Fan +4
Monocular 3D object detection is an essential task in autonomous driving. However, most current methods consider each 3D object in the scene as an independent training sample, whil…
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Jing Ren, Biao Zhang, Bojian Wu +4
We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology an…
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words
Chuan Tang, Xi Yang, Bojian Wu +2
Shape-Text matching is an important task of high-level shape understanding. Current methods mainly represent a 3D shape as multiple 2D rendered views, which obviously can not be un…
Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects
Jiahui Lyu, Bojian Wu, Dani Lischinski +2
Capturing the 3D geometry of transparent objects is a challenging task, ill-suited for general-purpose scanning and reconstruction techniques, since these cannot handle specular li…
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
Xi Yang, Bojian Wu, Issei Sato +1
Deep neural networks (DNNs) have a high accuracy on image classification tasks. However, DNNs trained by such dataset with co-occurrence bias may rely on wrong features while makin…
Full 3D Reconstruction of Transparent Objects
Bojian Wu, Yang Zhou, Yiming Qian +2
Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This p…