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Attention-Set based Metric Learning for Video Face Recognition

12 April 2017
Yibo Hu
Xiang Wu
Ran He
    CVBM
ArXivPDFHTML

Papers citing "Attention-Set based Metric Learning for Video Face Recognition"

14 / 14 papers shown
Title
Recurrent Regression for Face Recognition
Recurrent Regression for Face Recognition
Yang Li
Wenming Zheng
Zhen Cui
CVBM
31
3
0
24 Jul 2016
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
76
389
0
19 Jul 2016
Neural Aggregation Network for Video Face Recognition
Neural Aggregation Network for Video Face Recognition
Jiaolong Yang
Peiran Ren
Dongqing Zhang
Dong Chen
Fang Wen
Hongdong Li
G. Hua
CVBM
3DH
46
374
0
17 Mar 2016
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
46
141
0
07 Dec 2015
A Light CNN for Deep Face Representation with Noisy Labels
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu
Ran He
Zhenan Sun
Tieniu Tan
CVBM
82
1,064
0
09 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
292
13,079
0
12 Mar 2015
Representation Learning with Deep Extreme Learning Machines for
  Efficient Image Set Classification
Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification
Muhammad Uzair
Faisal Shafait
Guohao Li
Ajmal Mian
VLM
46
61
0
09 Mar 2015
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
304
922
0
03 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
81
2,318
0
20 Oct 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
351
43,511
0
17 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
408
27,205
0
01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
215
14,703
0
20 Jun 2014
Sample Selection Bias Correction Theory
Sample Selection Bias Correction Theory
Corinna Cortes
M. Mohri
Michael Riley
Afshin Rostamizadeh
95
346
0
19 May 2008
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
187
2,352
0
15 May 2008
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