Facial expression recognition with convolutional neural networks: coping with few data and the training sample order

AT Lopes, E De Aguiar, AF De Souza… - Pattern recognition, 2017 - Elsevier
Facial expression recognition has been an active research area in the past 10 years, with
growing application areas including avatar animation, neuromarketing and sociable robots …

[图书][B] Resource radicals: From petro-nationalism to post-extractivism in Ecuador

T Riofrancos - 2020 - books.google.com
In 2007, the left came to power in Ecuador. In the years that followed, the “twenty-first-
century socialist” government and a coalition of grassroots activists came to blows over the …

Social conflict, economic development and extractive industry: Evidence from South America

ME Hatzold - 2013 - academic.oup.com
To date, much of the social science literature dealing with the extractive industries has been
dominated by debates over the so-called resource curse. According to its proponents …

Deep adaptive attention for joint facial action unit detection and face alignment

Z Shao, Z Liu, J Cai, L Ma - Proceedings of the European …, 2018 - openaccess.thecvf.com
Facial action unit (AU) detection and face alignment are two highly correlated tasks since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Semi-adversarial networks: Convolutional autoencoders for imparting privacy to face images

V Mirjalili, S Raschka, A Namboodiri… - … on Biometrics (ICB), 2018 - ieeexplore.ieee.org
In this paper, we design and evaluate a convolutional autoencoder that perturbs an input
face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms …

Cross-domain facial expression recognition via an intra-category common feature and inter-category distinction feature fusion network

Y Ji, Y Hu, Y Yang, F Shen, HT Shen - Neurocomputing, 2019 - Elsevier
Facial expression recognition is crucial for various human-robot interaction applications,
which requires facial expression analysis having a broad generalization. However, existing …

Real-time head pose estimation using multi-task deep neural network

B Ahn, DG Choi, J Park, IS Kweon - Robotics and Autonomous Systems, 2018 - Elsevier
Driver inattention is one of the main causes of traffic accidents. To avoid such accidents,
advanced driver assistance system that passively monitors the driver's activities is needed …

A deep learning framework for heart rate estimation from facial videos

GSJ Hsu, RC Xie, AM Ambikapathi, KJ Chou - Neurocomputing, 2020 - Elsevier
Accurate heart rate is vital to acquiring critical physical data of human subjects. For this
reason, facial video-based heart rate estimation has recently received tremendous attention …

ROC speak: semi-automated personalized feedback on nonverbal behavior from recorded videos

M Fung, Y Jin, RJ Zhao, M Hoque - … of the 2015 ACM International Joint …, 2015 - dl.acm.org
We present a framework that couples computer algorithms with human intelligence in order
to automatically sense and interpret nonverbal behavior. The framework is cloud-enabled …

Wasteland by design: Dispossession by contamination and the struggle for water justice in the Ecuadorian Amazon

E Leifsen - The Extractive Industries and Society, 2017 - Elsevier
Considering the ongoing intervention of the open-pit large-scale copper mine, Mirador, in
the Southern Ecuadorian Amazon, this article discusses divergent understandings of socio …