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Exploring Disentangled Feature Representation Beyond Face Identification

Exploring Disentangled Feature Representation Beyond Face Identification

10 April 2018
Yu Liu
Fangyin Wei
Jing Shao
Lu Sheng
Junjie Yan
Xiaogang Wang
    CoGe
    CVBM
ArXivPDFHTML

Papers citing "Exploring Disentangled Feature Representation Beyond Face Identification"

21 / 21 papers shown
Title
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
Huafeng Qin
Hongyu Zhu
Xin Jin
Xin Yu
M. El-Yacoubi
Xinbo Gao
23
0
0
22 Sep 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein
  Identification
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin
Hongyu Zhu
M. El-Yacoubi
Hongchao Liao
Huafeng Qin
Yun Jiang
35
6
0
21 May 2024
Total Disentanglement of Font Images into Style and Character Class
  Features
Total Disentanglement of Font Images into Style and Character Class Features
Daichi Haraguchi
Wataru Shimoda
Kota Yamaguchi
Seiichi Uchida
DRL
32
0
0
19 Mar 2024
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
42
2
0
06 Sep 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and
  Multi-task Learning
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
Chengzhi Wu
Linxi Qiu
Kanran Zhou
Julius Pfrommer
Jürgen Beyerer
29
1
0
11 Jan 2023
Learning to Refactor Action and Co-occurrence Features for Temporal
  Action Localization
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
Kun Xia
Le Wang
Sanping Zhou
Nanning Zheng
Wei Tang
31
36
0
23 Jun 2022
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and
  Distribution-Aware Criterion
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion
Yuanyuan Yuan
Qi Pang
Shuai Wang
29
21
0
03 Dec 2021
Learning Fair Face Representation With Progressive Cross Transformer
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li
Yufei Sun
Zhen Cui
Shiguang Shan
Jian Yang
19
12
0
11 Aug 2021
FairCal: Fairness Calibration for Face Verification
FairCal: Fairness Calibration for Face Verification
Tiago Salvador
Stephanie Cairns
Vikram S. Voleti
Noah Marshall
Adam M. Oberman
FaML
17
20
0
07 Jun 2021
Speaker disentanglement in video-to-speech conversion
Speaker disentanglement in video-to-speech conversion
Dan Oneaţă
Adriana Stan
H. Cucu
16
9
0
20 May 2021
Stochastic Block-ADMM for Training Deep Networks
Stochastic Block-ADMM for Training Deep Networks
Saeed Khorram
Xiao Fu
Mohamad H. Danesh
Zhongang Qi
Li Fuxin
29
3
0
01 May 2021
Recent Advances in Deep Learning Techniques for Face Recognition
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad
Awal Ahmed Fime
Delowar Sikder
Md. Akil Raihan Iftee
Jakaria Rabbi
Mabrook S. Al-Rakhami
Abdu H. Gumaei
Ovishake Sen
Mohtasim Fuad
Md. Nazrul Islam
22
63
0
18 Mar 2021
Video-based Remote Physiological Measurement via Cross-verified Feature
  Disentangling
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Xuesong Niu
Zitong Yu
Hu Han
Xiaobai Li
Shiguang Shan
Guoying Zhao
14
180
0
16 Jul 2020
Face Identity Disentanglement via Latent Space Mapping
Face Identity Disentanglement via Latent Space Mapping
Yotam Nitzan
Amit H. Bermano
Yangyan Li
Daniel Cohen-Or
CVBM
CoGe
DRL
30
16
0
15 May 2020
Search to Distill: Pearls are Everywhere but not the Eyes
Search to Distill: Pearls are Everywhere but not the Eyes
Yu Liu
Xuhui Jia
Mingxing Tan
Raviteja Vemulapalli
Yukun Zhu
Bradley Green
Xiaogang Wang
22
67
0
20 Nov 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
20
4
0
03 Jun 2019
Non-Parametric Priors For Generative Adversarial Networks
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh
P. Turaga
Suren Jayasuriya
Ravi Garg
M. Braun
GAN
19
13
0
16 May 2019
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face
  Synthesis
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis
Yujun Shen
Bolei Zhou
Ping Luo
Xiaoou Tang
CVBM
24
38
0
04 Dec 2018
Style Aggregated Network for Facial Landmark Detection
Style Aggregated Network for Facial Landmark Detection
Xuanyi Dong
Yan Yan
Wanli Ouyang
Yi Yang
CVBM
3DH
13
303
0
12 Mar 2018
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
248
921
0
03 Dec 2014
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