Search Results for author:
Found 6 papers, 1 papers with code
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
In this work, we present a novel approach to multi-view action recognition where we guide learned action representations to be separated from view-relevant information in a video.
Ranked #1 on
Action Recognition
on N-UCLA
Mitigating Presentation Attack using DCGAN and Deep CNN
For MICHE-I [2] and VISOB [3] datasets, we achieved the test accuracies of 95% and 96% respectively.
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Static authentication methods, like passwords, grow increasingly weak with advancements in technology and attack strategies.
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation
A lightweight convolutional neural network is trained on the AffectNet dataset a large variable dataset for facial emotion recognition and a web application is developed and deployed with our proposed framework as a proof of concept.
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
This study examines the effectiveness of three distinct Internet of Things cyber security algorithms currently used in industry today for malware and intrusion detection: Random Forest (RF), Support-Vector Machine (SVM), and K-Nearest Neighbor (KNN).
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft
Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric.
