ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.06524
  4. Cited By
SeqFace: Make full use of sequence information for face recognition

SeqFace: Make full use of sequence information for face recognition

17 March 2018
Wei Hu
Yangyu Huang
Fan Zhang
Ruirui Li
Wei Li
Guodong Yuan
    CVBM
ArXivPDFHTML

Papers citing "SeqFace: Make full use of sequence information for face recognition"

4 / 4 papers shown
Title
Pose-disentangled Contrastive Learning for Self-supervised Facial
  Representation
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
Y. Liu
Wenbin Wang
Yibing Zhan
Shaoze Feng
Li-Yu Daisy Liu
Zhe Chen
SSL
14
13
0
24 Nov 2022
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
237
446
0
28 Nov 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
43
387
0
19 Jul 2016
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
250
921
0
03 Dec 2014
1