Facial expression recognition with convolutional neural networks: coping with few data and the training sample order
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 …
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 …
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 …
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
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 …
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …
Semi-adversarial networks: Convolutional autoencoders for imparting privacy to face images
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 …
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
Facial expression recognition is crucial for various human-robot interaction applications,
which requires facial expression analysis having a broad generalization. However, existing …
which requires facial expression analysis having a broad generalization. However, existing …
Real-time head pose estimation using multi-task deep neural network
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 …
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 …
reason, facial video-based heart rate estimation has recently received tremendous attention …
ROC speak: semi-automated personalized feedback on nonverbal behavior from recorded videos
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 …
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 …
the Southern Ecuadorian Amazon, this article discusses divergent understandings of socio …