7 papers
Dynamic Dropout: Leveraging Conway's Game of Life for Neural Networks Regularization
David Freire-Obregón, José Salas-Cáceres, Modesto Castrillón-Santana
Regularization techniques play a crucial role in preventing overfitting and improving the generalization performance of neural networks. Dropout, a widely used regularization techn…
Modeling Cultural Bias in Facial Expression Recognition with Adaptive Agents
David Freire-Obregón, José Salas-Cáceres, Javier Lorenzo-Navarro +3
Facial expression recognition (FER) must remain robust under both cultural variation and perceptually degraded visual conditions, yet most existing evaluations assume homogeneous d…
Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
David Freire-Obregón, Agnieszka Dubiel, Prasoon Kumar Vinodkumar +3
Recent advances have shown promise in emotion recognition from electroencephalogram (EEG) signals by employing bi-hemispheric neural architectures that incorporate neuroscientific…
Predicting Soccer Penalty Kick Direction Using Human Action Recognition
David Freire-Obregón, Oliverio J. Santana, Javier Lorenzo-Navarro +2
Action anticipation has become a prominent topic in Human Action Recognition (HAR). However, its application to real-world sports scenarios remains limited by the availability of s…
An Evaluation of a Visual Question Answering Strategy for Zero-shot Facial Expression Recognition in Still Images
Modesto Castrillón-Santana, Oliverio J Santana, David Freire-Obregón +2
Facial expression recognition (FER) is a key research area in computer vision and human-computer interaction. Despite recent advances in deep learning, challenges persist, especial…
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection
Sondos Mohamed, Walter Zimmer, Ross Greer +6
Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditi…