no code implementations • 10 Dec 2023 • Nyle Siddiqui, Praveen Tirupattur, Mubarak Shah
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
no code implementations • 22 Jun 2022 • Nyle Siddiqui, Rushit Dave
For MICHE-I [2] and VISOB [3] datasets, we achieved the test accuracies of 95% and 96% respectively.
1 code implementation • 26 May 2022 • Nyle Siddiqui, Rushit Dave, Naeem Seliya, Mounika Vanamala
Static authentication methods, like passwords, grow increasingly weak with advancements in technology and attack strategies.
no code implementations • 30 Jan 2022 • Nyle Siddiqui, Rushit Dave, Tyler Bauer, Thomas Reither, Dylan Black, Mitchell Hanson
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.
no code implementations • 15 Oct 2021 • Nyle Siddiqui, Rushit Dave, Naeem Seliya
Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric.
no code implementations • 15 Oct 2021 • Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya
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).