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Jointly Aligning and Predicting Continuous Emotion Annotations
v1v2 (latest)

Jointly Aligning and Predicting Continuous Emotion Annotations

5 July 2019
S. Khorram
M. McInnis
E. Provost
ArXiv (abs)PDFHTML

Papers citing "Jointly Aligning and Predicting Continuous Emotion Annotations"

10 / 10 papers shown
Title
Trainable Time Warping: Aligning Time-Series in the Continuous-Time
  Domain
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
S. Khorram
M. McInnis
E. Provost
AI4TS
38
11
0
21 Mar 2019
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild
S. Khorram
Mimansa Jaiswal
John Gideon
M. McInnis
E. Provost
AI4MH
60
50
0
19 Jun 2018
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary
  Tasks to Improve Predictions of Emotional Attributes
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes
Srinivas Parthasarathy
Carlos Busso
63
45
0
28 Apr 2018
Emotion Recognition by Body Movement Representation on the Manifold of
  Symmetric Positive Definite Matrices
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices
Mohamed Daoudi
Stefano Berretti
P. Pala
Y. Delevoye-Turrell
A. Bimbo
CVBM
46
32
0
22 Jul 2017
Progressive Neural Networks for Transfer Learning in Emotion Recognition
Progressive Neural Networks for Transfer Learning in Emotion Recognition
John Gideon
S. Khorram
Zakaria Aldeneh
Dimitrios Dimitriadis
E. Provost
41
116
0
10 Jun 2017
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
Panagiotis Tzirakis
George Trigeorgis
M. Nicolaou
Björn Schuller
Stefanos Zafeiriou
HAI
45
547
0
27 Apr 2017
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt3DHHAI
66
1,544
0
23 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
289
11,150
0
14 Mar 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,459
0
23 Nov 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
235
4,180
0
17 May 2015
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