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20032026
most citedIterative Filter Adaptive Network for Single Image Defocus Deblurring

181 citations

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 2 cited

Pairwise Relational Networks using Local Appearance Features for Face Recognition

Bong-Nam Kang, Yonghyun Kim, Daijin Kim

We propose a new face recognition method, called a pairwise relational network (PRN), which takes local appearance features around landmark points on the feature map, and captures…

cs.CV2018

BAN: Focusing on Boundary Context for Object Detection

Yonghyun Kim, Taewook Kim, Bong-Nam Kang +2

Visual context is one of the important clue for object detection and the context information for boundaries of an object is especially valuable. We propose a boundary aware network…

cs.CV2018★ 11 cited

Pairwise Relational Networks for Face Recognition

Bong-Nam Kang, Yonghyun Kim, Daijin Kim

Existing face recognition using deep neural networks is difficult to know what kind of features are used to discriminate the identities of face images clearly. To investigate the e…

cs.CV2018★ 5 cited

SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection

Yonghyun Kim, Bong-Nam Kang, Daijin Kim

Most of the recent successful methods in accurate object detection build on the convolutional neural networks (CNN). However, due to the lack of scale normalization in CNN-based de…

cs.CV2018★ 2 cited

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps

Paul Hongsuck Seo, Tobias Weyand, Jack Sim +1

Image geolocalization is the task of identifying the location depicted in a photo based only on its visual information. This task is inherently challenging since many photos have o…