1 citations · 3 across the 6 of their papers we have counts for
10 papers
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
Jia Zheng, Yifan Zhu, Kehan Wang +2
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings. Previous optimization-based methods can generate compact an…
Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
Kehan Wang, Jia Zheng, Zihan Zhou
In computer-aided design (CAD) systems, 2D line drawings are commonly used to illustrate 3D object designs. To reconstruct the 3D models depicted by a single 2D line drawing, an im…
Towards Robust Human Trajectory Prediction in Raw Videos
Rui Yu, Zihan Zhou
Human trajectory prediction has received increased attention lately due to its importance in applications such as autonomous vehicles and indoor robots. However, most existing meth…
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu +1
Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monit…
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…
Superpixel Segmentation with Fully Convolutional Networks
Fengting Yang, Qian Sun, Hailin Jin +1
In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing. But only a few attempts have been made…