Results 31 to 40 of about 5,392,262 (336)
Training deep networks for facial expression recognition with crowd-sourced label distribution [PDF]
International Conference on Multimodal Interaction, 2016 Crowd sourcing has become a widely adopted scheme to collect ground truth labels. However, it is a well-known problem that these labels can be very noisy.
Emad Barsoum +3 more
semanticscholar +1 more source
A Survey of the Trends in Facial and Expression Recognition Databases and Methods
, 2015 Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security ...
Emmons, Michelle, Roychowdhury, Sohini
core +1 more source
Does gaze direction modulate facial expression processing in children with autism spectrum disorder? [PDF]
, 2009 Two experiments investigated whether children with autism spectrum disorder (ASD) integrate relevant communicative signals, such as gaze direction, when decoding a facial expression. In Experiment 1, typically developing children (9–14 years old; n = 14)
Adams +81 more
core +1 more source
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
, 2018 Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
core +1 more source
Frame Attention Networks for Facial Expression Recognition in Videos [PDF]
International Conference on Information Photonics, 2019 The video-based facial expression recognition aims to classify a given video into several basic emotions. How to integrate facial features of individual frames is crucial for this task.
Debin Meng +3 more
semanticscholar +1 more source
FERAtt: Facial Expression Recognition With Attention Net [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 We present a new end-to-end network architecture for facial expression recognition with an attention model. It focuses attention in the human face and uses a Gaussian space representation for expression recognition.
Pedro D. Marrero-Fernández +3 more
semanticscholar +1 more source
The Facial Expression Module [PDF]
, 2006 In current dialogue systems the use of speech as an input modality is common. But this modality is only one of those human beings use. In human-human interaction people use gestures to point or facial expressions to show their moods as well. To give modern systems a chance to read information from all modalities used by humans, these systems must have ...
Frank, Carmen +6 more
openaire +3 more sources
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
Population Ecology, EarlyView.We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa +2 more
wiley +1 more source
Automatic 3D facial model and texture reconstruction from range scans [PDF]
, 2010 This paper presents a fully automatic approach to fitting a generic facial model to detailed range scans of human faces to reconstruct 3D facial models and textures with no manual intervention (such as specifying landmarks).
B. Allen +20 more
core +1 more source