activity
20132023
most citedPath Aggregation Network for Instance Segmentation

355 citations · 2.9k across the 115 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

cs.CV2018★ 132 cited

IPOD: Intensive Point-based Object Detector for Point Cloud

Zetong Yang, Yanan Sun, Shu Liu +2

We present a novel 3D object detection framework, named IPOD, based on raw point cloud. It seeds object proposal for each point, which is the basic element. This paradigm provides…

cs.CV2018★ 254 cited

Image Inpainting via Generative Multi-column Convolutional Neural Networks

Yi Wang, Xin Tao, Xiaojuan Qi +2

In this paper, we propose a generative multi-column network for image inpainting. This network synthesizes different image components in a parallel manner within one stage. To bett…

cs.CV2018★ 20 cited

Sequential Context Encoding for Duplicate Removal

Lu Qi, Shu Liu, Jianping Shi +1

Duplicate removal is a critical step to accomplish a reasonable amount of predictions in prevalent proposal-based object detection frameworks. Albeit simple and effective, most pre…

cs.CV2018★ 6 cited

SegStereo: Exploiting Semantic Information for Disparity Estimation

Guorun Yang, Hengshuang Zhao, Jianping Shi +2

Disparity estimation for binocular stereo images finds a wide range of applications. Traditional algorithms may fail on featureless regions, which could be handled by high-level cl…

cs.CV2018★ 11 cited

Semi-parametric Image Synthesis

Xiaojuan Qi, Qifeng Chen, Jiaya Jia +1

We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techn…

cs.CV2018★ 14 cited

Facelet-Bank for Fast Portrait Manipulation

Ying-Cong Chen, Huaijia Lin, Michelle Shu +5

Digital face manipulation has become a popular and fascinating way to touch images with the prevalence of smartphones and social networks. With a wide variety of user preferences,…

cs.CV2018★ 355 cited

Path Aggregation Network for Instance Segmentation

Shu Liu, Lu Qi, Haifang Qin +2

The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in pro…

cs.CV2018★ 20 cited

Scale-recurrent Network for Deep Image Deblurring

Xin Tao, Hongyun Gao, Yi Wang +3

In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional opti…