most citedA High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark

10 citations · 17 across the 4 of their papers we have counts for

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cs.CV20211 cited

Deep auxiliary learning for visual localization using colorization task

Mi Tian, Qiong Nie, Hao Shen +1

Visual localization is one of the most important components for robotics and autonomous driving. Recently, inspiring results have been shown with CNN-based methods which provide a…

cs.CV2021

Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces

Alexander Sagel, Julian Wörmann, Hao Shen

Distance-based dynamic texture recognition is an important research field in multimedia processing with applications ranging from retrieval to segmentation of video data. Based on…

cs.CV201910 cited

A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark

Yinglu Liu, Hailin Shi, Yue Si +3

Face parsing, which is to assign a semantic label to each pixel in face images, has recently attracted increasing interest due to its huge application potentials. Although many fac…

cs.CV20195 cited

Grand Challenge of 106-Point Facial Landmark Localization

Yinglu Liu, Hao Shen, Yue Si +18

Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, pre…

cs.CV20191 cited

A Generative Map for Image-based Camera Localization

Mingpan Guo, Stefan Matthes, Jiaojiao Ye +1

In image-based camera localization systems, information about the environment is usually stored in some representation, which can be referred to as a map. Conventionally, most maps…