Bong-Nam Kang

28 papers A* 1B 9C 1Journal 6Unranked 11
YearRankTypeTitle / Venue / Authors
2019 A* conf
Attentional Feature-Pair Relation Networks for Accurate Face Recognition.
ICCV
Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim
2019 J jnl
Attentional Feature-Pair Relation Networks for Accurate Face Recognition.
CoRR
Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim
2019 J jnl
Detector With Focus: Normalizing Gradient In Image Pyramid.
CoRR
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
2019 — conf
Hierarchical Feature-Pair Relation Networks for Face Recognition.
CVPR Workshops
Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim
2018 — conf
BAN: Focusing on Boundary Context for Object Detection.
ACCV (6)
Yonghyun Kim, Taewook Kim, Bong-Nam Kang, Jieun Kim, Daijin Kim
2018 J jnl
BAN: Focusing on Boundary Context for Object Detection.
CoRR
Yonghyun Kim, Taewook Kim, Bong-Nam Kang, Jieun Kim, Daijin Kim
2018 — conf
Pairwise Relational Networks for Face Recognition.
ECCV (2)
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
2018 J jnl
Pairwise Relational Networks for Face Recognition.
CoRR
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
2018 J jnl
Pairwise Relational Networks using Local Appearance Features for Face Recognition.
CoRR
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
2018 — conf
SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection.
ECCV (5)
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
2018 J jnl
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection.
CoRR
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
2017 — conf
Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition.
CVPR Workshops
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
2017 B conf
Detector with focus: Normalizing gradient in image pyramid.
ICIP
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
2017 — conf
Reliable multi-person identification using DCNN-based face recognition algorithm and scale-ratio method.
URAI
Junghoon Kim, Sang-Seok Yun, Bong-Nam Kang, Daijin Kim, Jongsuk Choi
2016 B conf
A deep neural network based hashing for efficient image retrieval.
SMC
Siying Zhu, Bong-Nam Kang, Daijin Kim
2016 B conf
Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild.
SMC
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
2015 — conf
Combined Document/Business Card Detector for Proactive Document-Based Services on the Smartphone.
ICONIP (4)
Yong-Joong Kim, Yonghyun Kim, Bong-Nam Kang, Daijin Kim
2015 B conf
Hidden Markov Model Ensemble for Activity Recognition Using Tri-Axis Accelerometer.
SMC
Yong-Joong Kim, Bong-Nam Kang, Daijin Kim
2014 C conf
Face recognition using affine dense SURF-like descriptors.
ICCE
Bong-Nam Kang, Jongmin Yoon, Hyunsung Park, Daijin Kim
2014 B conf
Nonparametric state machine with multiple features for abnormal object classification.
AVSS
Jiman Kim, Bong-Nam Kang
2013 — conf
Face identification using affine simulated dense local descriptors.
URAI
Bong-Nam Kang, Daijin Kim
2013 — conf
PFW: A Face Database in the Wild for Studying Face Identification and Verification in Uncontrolled Environment.
ACPR
Hai Wang, Bong-Nam Kang, Daijin Kim
2013 — conf
Speed Up Learning based Descriptor for Face Verification.
VISAPP (1)
Hai Wang, Bong-Nam Kang, Jongmin Yoon, Daijin Kim
2012 B conf
Abnormal Object Detection Using Feedforward Model and Sequential Filters.
AVSS
Jiman Kim, Bong-Nam Kang, Hai Wang, Daijin Kim
2012 — conf
Car License Plate Detection under Large Variations Using Covariance and HOG Descriptors.
ISVC (2)
Jongmin Yoon, Bong-Nam Kang, Daijin Kim
2008 B conf
An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models.
FG
Bong-Nam Kang, Daijin Kim, Hyeran Byun
2008 B conf
Multi-resolution 3D morphable models and its matching method.
ICPR
Bong-Nam Kang, Hyeran Byun, Daijin Kim
2008 B conf
The POSTECH face database (PF07) and performance evaluation.
FG
Hyoung-Soo Lee, Sungsoo Park, Bong-Nam Kang, Jongju Shin, Juyoung Lee, Hong-Mo Je, Bongjin Jun, Daijin Kim