54 citations · 104 across the 4 of their papers we have counts for
4 papers
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su +1
We consider the non-Lambertian object intrinsic problem of recovering diffuse albedo, shading, and specular highlights from a single image of an object. We build a large-scale obje…
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan, Hao Su, Leonidas Guibas
Generation of 3D data by deep neural network has been attracting increasing attention in the research community. The majority of extant works resort to regular representations such…
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Li Yi, Hao Su, Xingwen Guo +1
In this paper, we study the problem of semantic annotation on 3D models that are represented as shape graphs. A functional view is taken to represent localized information on graph…
Efficient Euclidean Projections onto the Intersection of Norm Balls
Adams Wei Yu, Hao Su, Li Fei-Fei
Using sparse-inducing norms to learn robust models has received increasing attention from many fields for its attractive properties. Projection-based methods have been widely appli…