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20152022
most citedRethinking on Multi-Stage Networks for Human Pose Estimation

109 citations · 280 across the 28 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 4 cited

Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices

Yaoyi Li, Jianfu Zhang, Weijie Zhao +1

Recently, significant progress has been achieved in deep image matting. Most of the classical image matting methods are time-consuming and require an ideal trimap which is difficul…

cs.CV2019★ 4 cited

FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network

Bayram Bayramli, Usman Ali, Te Qi +1

There are many factors affecting visual face recognition, such as low resolution images, aging, illumination and pose variance, etc. One of the most important problem is low resolu…

cs.MM2019

A multimodal lossless coding method for skeletons in videos

Mingzhou Liu, Xiaoyi He, Weiyao Lin +4

Nowadays, skeleton information in videos plays an important role in human-centric video analysis but effective coding such massive skeleton information has never been addressed in…

cs.CV2019★ 3 cited

Spatial Shortcut Network for Human Pose Estimation

Te Qi, Bayram Bayramli, Usman Ali +2

Like many computer vision problems, human pose estimation is a challenging problem in that recognizing a body part requires not only information from local area but also from areas…

cs.CV2019★ 109 cited

Rethinking on Multi-Stage Networks for Human Pose Estimation

Wenbo Li, Zhicheng Wang, Binyi Yin +7

Existing pose estimation approaches fall into two categories: single-stage and multi-stage methods. While multi-stage methods are seemingly more suited for the task, their performa…