205 citations · 478 across the 21 of their papers we have counts for
22 papers
Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
Behraj Khan, Tahir Qasim Syed, Syed Ahmad Chan Bukhari
The Segment Anything Model (SAM) exhibits strong zero-shot performance on natural images but suffers from domain shift and overconfidence when applied to medical volumes. We propos…
Analyzing and controlling diversity in quantum-behaved particle swarm optimization
Li-Wei Li, Jun Sun, Chao Li +3
This paper addresses the issues of controlling and analyzing the population diversity in quantum-behaved particle swarm optimization (QPSO), which is an optimization approach motiv…
R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning
Uche Onyekpe, Alicja Szkolnik, Vasile Palade +2
This paper proposes a transfer learning approach to recalibrate our previously developed Wheel Odometry Neural Network (WhONet) for vehicle positioning in environments where Global…
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang, Wenbin Zhang
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real wo…
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments
Uche Onyekpe, Vasile Palade, Anuradha Herath +2
In this paper, a deep learning approach is proposed to accurately position wheeled vehicles in Global Navigation Satellite Systems (GNSS) deprived environments. In the absence of G…
Generative Adversarial Stacked Autoencoders
Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade +1
Generative Adversarial Networks (GANs) have become predominant in image generation tasks. Their success is attributed to the training regime which employs two models: a generator G…