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Crystal Loss and Quality Pooling for Unconstrained Face Verification and
  Recognition

Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition

3 April 2018
Rajeev Ranjan
Ankan Bansal
Hongyu Xu
S. Sankaranarayanan
Jun-Cheng Chen
Carlos D. Castillo
Rama Chellappa
    CVBM
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Papers citing "Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition"

19 / 19 papers shown
Title
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Yaoyao Zhong
Weihong Deng
Jiani Hu
Dongyue Zhao
Xian Li
Dongchao Wen
3DH
CVBM
54
87
0
24 May 2022
QMagFace: Simple and Accurate Quality-Aware Face Recognition
QMagFace: Simple and Accurate Quality-Aware Face Recognition
Philipp Terhörst
Malte Ihlefeld
Marco Huber
Naser Damer
Florian Kirchbuchner
Kiran Raja
Arjan Kuijper
CVBM
35
52
0
26 Nov 2021
Introducing the DOME Activation Functions
Introducing the DOME Activation Functions
Mohamed E. Hussein
Wael AbdAlmageed
30
1
0
30 Sep 2021
EQFace: A Simple Explicit Quality Network for Face Recognition
EQFace: A Simple Explicit Quality Network for Face Recognition
Rushuai Liu
Weijun Tan
CVBM
30
18
0
03 May 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for
  Supervised Learning
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
29
39
0
29 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
35
249
0
06 Mar 2021
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
S. S. Khalid
Muhammad Awais
Chi-Ho Chan
Zhenhua Feng
Ammarah Farooq
A. Akbari
J. Kittler
CVBM
19
10
0
05 Mar 2021
Self-attention aggregation network for video face representation and
  recognition
Self-attention aggregation network for video face representation and recognition
Ihor Protsenko
Taras Lehinevych
Dmytro Voitekh
Ihor Kroosh
Nick Hasty
Anthony Johnson
CVBM
19
2
0
11 Oct 2020
Single Unit Status in Deep Convolutional Neural Network Codes for Face
  Identification: Sparseness Redefined
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
Connor J. Parde
Y. Colón
Matthew Q. Hill
Carlos D. Castillo
Prithviraj Dhar
A. O’toole
CVBM
29
8
0
14 Feb 2020
Viewpoint-Aware Loss with Angular Regularization for Person
  Re-Identification
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
Zhihui Zhu
Xinyang Jiang
Feng Zheng
Xiao-Wei Guo
Feiyue Huang
Weishi Zheng
Xing Sun
17
71
0
03 Dec 2019
Deep Face Recognition Model Compression via Knowledge Transfer and
  Distillation
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
J. Karlekar
Jiashi Feng
Zi Sian Wong
Sugiri Pranata
CVBM
26
13
0
03 Jun 2019
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep
  Face Representations
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
Xiao Zhang
Rui Zhao
Yu Qiao
Xiaogang Wang
Hongsheng Li
CVBM
32
214
0
01 May 2019
Deep Convolutional Neural Networks in the Face of Caricature: Identity
  and Image Revealed
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed
Matthew Q. Hill
Connor J. Parde
Carlos D. Castillo
Y. Colón
Rajeev Ranjan
Jun-Cheng Chen
V. Blanz
A. O’toole
CVBM
14
56
0
28 Dec 2018
An Automatic System for Unconstrained Video-Based Face Recognition
An Automatic System for Unconstrained Video-Based Face Recognition
Jingxiao Zheng
Rajeev Ranjan
Ching-Hui Chen
Jun-Cheng Chen
Carlos D. Castillo
Rama Chellappa
CVBM
32
49
0
10 Dec 2018
Deep Regionlets: Blended Representation and Deep Learning for Generic
  Object Detection
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
ObjD
29
29
0
28 Nov 2018
Deep Regionlets for Object Detection
Deep Regionlets for Object Detection
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
ObjD
14
66
0
06 Dec 2017
An All-In-One Convolutional Neural Network for Face Analysis
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan
S. Sankaranarayanan
Carlos D. Castillo
Rama Chellappa
CVBM
138
428
0
03 Nov 2016
Unconstrained Face Verification using Deep CNN Features
Unconstrained Face Verification using Deep CNN Features
Jun-Cheng Chen
Vishal M. Patel
Rama Chellappa
CVBM
234
295
0
07 Aug 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
252
921
0
03 Dec 2014
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