1 citations · 1 across the 4 of their papers we have counts for
5 papers
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Siqi Wang, Yifan Wang, Guangmo Tong
The Euclidean Steiner tree problem seeks the min-cost network to connect a collection of target locations, and it underlies many applications of wireless networks. In this paper, w…
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
Xiuwei Xu, Yifan Wang, Yu Zheng +3
In this paper, we propose a weakly-supervised approach for 3D object detection, which makes it possible to train a strong 3D detector with position-level annotations (i.e. annotati…
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
Yifan Wang, Linjie Luo, Xiaohui Shen +1
Recently, significant progress has been made in single-view depth estimation thanks to increasingly large and diverse depth datasets. However, these datasets are largely limited to…
People as Scene Probes
Yifan Wang, Brian Curless, Steve Seitz
By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera…
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…