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  4. Cited By
Face Mask Extraction in Video Sequence

Face Mask Extraction in Video Sequence

24 July 2018
Yujiang Wang
Bingnan Luo
Jie Shen
Maja Pantic
    CVBM
ArXivPDFHTML

Papers citing "Face Mask Extraction in Video Sequence"

31 / 31 papers shown
Title
Towards Learning Structure via Consensus for Face Segmentation and
  Parsing
Towards Learning Structure via Consensus for Face Segmentation and Parsing
I. Masi
Joe Mathai
Wael AbdAlmageed
CVBM
49
16
0
03 Nov 2019
Interlinked Convolutional Neural Networks for Face Parsing
Interlinked Convolutional Neural Networks for Face Parsing
Yisu Zhou
Xiaolin Hu
Bo Zhang
CVBM
21
66
0
07 Jun 2018
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem
  GMM-HMM System
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
Marina Zimmermann
Mostafa Mehdipour-Ghazi
H. K. Ekenel
Jean-Philippe Thiran
16
36
0
19 Oct 2017
End-to-End Audiovisual Fusion with LSTMs
End-to-End Audiovisual Fusion with LSTMs
Stavros Petridis
Yujiang Wang
Zuwei Li
Maja Pantic
VLM
33
38
0
12 Sep 2017
End-to-End Multi-View Lipreading
End-to-End Multi-View Lipreading
Stavros Petridis
Yujiang Wang
Zuwei Li
Maja Pantic
35
49
0
01 Sep 2017
Bringing Background into the Foreground: Making All Classes Equal in
  Weakly-supervised Video Semantic Segmentation
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
J. Álvarez
VOS
43
39
0
15 Aug 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
77
1,274
0
22 Apr 2017
End-to-end semantic face segmentation with conditional random fields as
  convolutional, recurrent and adversarial networks
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü
Yağmur Güçlütürk
Meysam Madadi
Sergio Escalera
Xavier Baro
Jordi Gonzalez
R. Lier
Marcel van Gerven
CVBM
GAN
SSeg
47
19
0
09 Mar 2017
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
53
909
0
16 Nov 2016
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
46
199
0
11 Aug 2016
Object Detection, Tracking, and Motion Segmentation for Object-level
  Video Segmentation
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation
Benjamin Drayer
Thomas Brox
VOS
20
32
0
10 Aug 2016
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video
  Object Segmentation
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Huiling Wang
T. Raiko
L. Lensu
T. Wang
J. Karhunen
22
24
0
07 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
296
2,069
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
157
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
251
37,704
0
20 May 2016
Joint Face Detection and Alignment using Multi-task Cascaded
  Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
147
4,940
0
11 Apr 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
34
40
0
31 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
159
8,421
0
23 Nov 2015
Deep End2End Voxel2Voxel Prediction
Deep End2End Voxel2Voxel Prediction
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
33
119
0
20 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
680
15,718
0
02 Nov 2015
Semantic Video Segmentation : Exploring Inference Efficiency
Semantic Video Segmentation : Exploring Inference Efficiency
Subarna Tripathi
Serge J. Belongie
Youngbae Hwang
Truong Thao Nguyen
VLM
VOS
16
26
0
04 Sep 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
440
7,952
0
13 Jun 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
41
271
0
03 May 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
146
2,533
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
585
149,474
0
22 Dec 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
262
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
751
99,991
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
211
15,825
0
12 Nov 2013
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
90
4,025
0
04 Aug 2013
Multi-Dimensional Recurrent Neural Networks
Multi-Dimensional Recurrent Neural Networks
Alex Graves
Santiago Fernández
Jürgen Schmidhuber
222
308
0
14 May 2007
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