activity
20202022
most citedBack to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

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…

cs.CV2022★ 1 cited

SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage

Yifan Wang, Aleksander Holynski, Xiuming Zhang +1

A light stage uses a series of calibrated cameras and lights to capture a subject's facial appearance under varying illumination and viewpoint. This captured information is crucial…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV2020

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…