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20182022
most citedRethinking Image Deraining via Rain Streaks and Vapors

6 citations · 16 across the 10 of their papers we have counts for

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15 papers · 1 filter

cs.CV20211 cited

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

Cheng Zhang, Zhaopeng Cui, Cai Chen +4

Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploit…

cs.CV2021

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

Cheng Zhang, Zhaopeng Cui, Yinda Zhang +3

We present a new pipeline for holistic 3D scene understanding from a single image, which could predict object shapes, object poses, and scene layout. As it is a highly ill-posed pr…

cs.CV2021

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

Hao Xu, Shuaicheng Liu, Guangfu Wang +2

Point cloud registration is a key task in many computational fields. Previous correspondence matching based methods require the inputs to have distinctive geometric structures to f…

cs.CV20206 cited

Rethinking Image Deraining via Rain Streaks and Vapors

Yinglong Wang, Yibing Song, Chao Ma +1

Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…

cs.CV2020

Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection

Qingdong He, Zhengning Wang, Hao Zeng +3

3D object detection has become an emerging task in autonomous driving scenarios. Previous works process 3D point clouds using either projection-based or voxel-based models. However…

cs.CV20191 cited

Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability

Shuaicheng Liu, Zehao Zhang, Kai Song +1

The unprecedented performance achieved by deep convolutional neural networks for image classification is linked primarily to their ability of capturing rich structural features at…