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20152023
most citedSlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping

69 citations · 361 across the 31 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 1 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★ 3 cited

FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration

Hao Xu, Nianjin Ye, Guanghui Liu +2

Data association is important in the point cloud registration. In this work, we propose to solve the partial-to-partial registration from a new perspective, by introducing multi-le…

cs.CV2021★ 2 cited

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★ 2 cited

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…

eess.IV2021★ 42 cited

UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

Ru Li, Chuan Wang, Jue Wang +4

The paper proposes a method to effectively fuse multi-exposure inputs and generate high-quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based HDR imag…

cs.CV2021★ 42 cited

JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

Ru Li, Shuaicheng Liu, Guangfu Wang +2

The paper proposes a solution based on Generative Adversarial Network (GAN) for solving jigsaw puzzles. The problem assumes that an image is divided into equal square pieces, and a…