118 citations · 129 across the 5 of their papers we have counts for
8 papers
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas +3
Globally interpretable models are a promising approach for trustworthy AI in safety-critical domains. Alongside global explanations, detailed local explanations are a crucial compl…
Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem
Neslihan Kose, Anthony Rhodes, Umur Aybars Ciftci +1
As generative models are advancing in quality and quantity for creating synthetic content, deepfakes begin to cause online mistrust. Deepfake detectors are proposed to counter this…
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
Syed Sha Qutub, Neslihan Kose, Rafael Rosales +6
This paper introduces the Budding Ensemble Architecture (BEA), a novel reduced ensemble architecture for anchor-based object detection models. Object detection models are crucial i…
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Juan Diego Ortega, Neslihan Kose, Paola Cañas +5
Vision is the richest and most cost-effective technology for Driver Monitoring Systems (DMS), especially after the recent success of Deep Learning (DL) methods. The lack of suffici…
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
Okan Köpüklü, Thomas Ledwon, Yao Rong +2
The use of hand gestures provides a natural alternative to cumbersome interface devices for Human-Computer Interaction (HCI) systems. However, real-time recognition of dynamic micr…
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach
Neslihan Kose, Okan Kopuklu, Alexander Unnervik +1
Many road accidents occur due to distracted drivers. Today, driver monitoring is essential even for the latest autonomous vehicles to alert distracted drivers in order to take over…
Resource Efficient 3D Convolutional Neural Networks
Okan Köpüklü, Neslihan Kose, Ahmet Gunduz +1
Recently, convolutional neural networks with 3D kernels (3D CNNs) have been very popular in computer vision community as a result of their superior ability of extracting spatio-tem…
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
Okan Köpüklü, Ahmet Gunduz, Neslihan Kose +1
Real-time recognition of dynamic hand gestures from video streams is a challenging task since (i) there is no indication when a gesture starts and ends in the video, (ii) performed…