1.4k citations · 2.2k across the 21 of their papers we have counts for
21 papers
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
Jiabao Lei, Kui Jia, Yi Ma
Reconstruction of object or scene surfaces has tremendous applications in computer vision, computer graphics, and robotics. In this paper, we study a fundamental problem in this co…
Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou +3
In this paper, we propose a learning-based approach to the task of automatically extracting a "wireframe" representation for images of cluttered man-made environments. The wirefram…
Structured Attentions for Visual Question Answering
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang +2
Visual attention, which assigns weights to image regions according to their relevance to a question, is considered as an indispensable part by most Visual Question Answering models…
Automatic Layer Separation using Light Field Imaging
Qiaosong Wang, Haiting Lin, Yi Ma +2
We propose a novel approach that jointly removes reflection or translucent layer from a scene and estimates scene depth. The input data are captured via light field imaging. The pr…
Robust Face Recognition by Constrained Part-based Alignment
Yuting Zhang, Kui Jia, Yueming Wang +3
Developing a reliable and practical face recognition system is a long-standing goal in computer vision research. Existing literature suggests that pixel-wise face alignment is the…
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features
Liansheng Zhuang, Shenghua Gao, Jinhui Tang +3
This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting. Firstly, we propose to build a non-negative low-rank a…