Medical image analysis using AM-FM models and methods
KP Constantinou, IP Constantinou… - IEEE Reviews in …, 2020 - ieeexplore.ieee.org
Medical image analysis methods require the use of effective representations for
differentiating between lesions, diseased regions, and normal structure. Amplitude …
differentiating between lesions, diseased regions, and normal structure. Amplitude …
Fast hand detection in collaborative learning environments
Long-term object detection requires the integration of frame-based results over several
seconds. For non-deformable objects, long-term detection is often addressed using object …
seconds. For non-deformable objects, long-term detection is often addressed using object …
Facial recognition in collaborative learning videos
Face recognition in collaborative learning videos presents many challenges. In collaborative
learning videos, students sit around a typical table at different positions to the recording …
learning videos, students sit around a typical table at different positions to the recording …
Dynamic group interactions in collaborative learning videos
We introduce a new method to detect student group interactions in collaborative learning
videos. We consider the following video activities:(i) human to human,(ii) human to others …
videos. We consider the following video activities:(i) human to human,(ii) human to others …
The importance of the instantaneous phase for face detection using simple convolutional neural networks
LS Tapia, MS Pattichis… - … on Image Analysis …, 2020 - ieeexplore.ieee.org
Large scale training of Deep Learning methods requires significant computational
resources. The use of transfer learning methods tends to speed up learning while producing …
resources. The use of transfer learning methods tends to speed up learning while producing …
Bilingual speech recognition by estimating speaker geometry from video data
L Sanchez Tapia, A Gomez, M Esparza, V Jatla… - … on Computer Analysis …, 2021 - Springer
Speech recognition is very challenging in student learning environments that are
characterized by significant cross-talk and background noise. To address this problem, we …
characterized by significant cross-talk and background noise. To address this problem, we …
Talking detection in collaborative learning environments
We study the problem of detecting talking activities in collaborative learning videos. Our
approach uses head detection and projections of the log-magnitude of optical flow vectors to …
approach uses head detection and projections of the log-magnitude of optical flow vectors to …
Person detection in collaborative group learning environments using multiple representations
We introduce the problem of detecting a group of students from classroom videos. The
problem requires the detection of students from different angles and the separation of the …
problem requires the detection of students from different angles and the separation of the …
Long-term Human Participation Assessment In Collaborative Learning Environments Using Dynamic Scene Analysis
The paper develops datasets and methods to assess student participation in real-life
collaborative learning environments. In collaborative learning environments, students are …
collaborative learning environments. In collaborative learning environments, students are …
Analysis of Classroom Processes Based on Deep Learning with Video and Audio Features
An active learning-type class is a class in which students take the initiative. In order to
improve active learning-type classes, attempts have been made to review the content after …
improve active learning-type classes, attempts have been made to review the content after …