50 citations · 110 across the 10 of their papers we have counts for
13 papers
Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
Md Rakibul Islam, Riad Hassan, Abdullah Nazib +3
Deep learning has achieved remarkable accuracy in medical image segmentation, particularly for larger structures with well-defined boundaries. However, its effectiveness can be cha…
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification
Huy Nguyen, Kien Nguyen, Sridha Sridharan +1
Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions between h…
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
Chayan Banerjee, Kien Nguyen, Clinton Fookes +1
The inclusion of physical information in machine learning frameworks has revolutionized many application areas. This involves enhancing the learning process by incorporating physic…
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation
Nhi Kieu, Kien Nguyen, Sridha Sridharan +1
The advent of high-resolution multispectral/hyperspectral sensors, LiDAR DSM (Digital Surface Model) information and many others has provided us with an unprecedented wealth of dat…
Physics-Informed Computer Vision: A Review and Perspectives
Chayan Banerjee, Kien Nguyen, Clinton Fookes +1
The incorporation of physical information in machine learning frameworks is opening and transforming many application domains. Here the learning process is augmented through the in…
Physical Adversarial Attacks for Surveillance: A Survey
Kien Nguyen, Tharindu Fernando, Clinton Fookes +1
Modern automated surveillance techniques are heavily reliant on deep learning methods. Despite the superior performance, these learning systems are inherently vulnerable to adversa…
Aerial-Ground Person Re-ID
Huy Nguyen, Kien Nguyen, Sridha Sridharan +1
Person re-ID matches persons across multiple non-overlapping cameras. Despite the increasing deployment of airborne platforms in surveillance, current existing person re-ID benchma…
Adversarial Attack on Facial Recognition using Visible Light
Morgan Frearson, Kien Nguyen
The use of deep learning for human identification and object detection is becoming ever more prevalent in the surveillance industry. These systems have been trained to identify hum…
Complex-valued Iris Recognition Network
Kien Nguyen, Clinton Fookes, Sridha Sridharan +1
In this work, we design a fully complex-valued neural network for the task of iris recognition. Unlike the problem of general object recognition, where real-valued neural networks…
Constrained Design of Deep Iris Networks
Kien Nguyen, Clinton Fookes, Sridha Sridharan
Despite the promise of recent deep neural networks in the iris recognition setting, there are vital properties of the classic IrisCode which are almost unable to be achieved with c…
Semantic Correspondence: A Hierarchical Approach
Akila Pemasiri, Kien Nguyen, Sridha Sridhara +1
Establishing semantic correspondence across images when the objects in the images have undergone complex deformations remains a challenging task in the field of computer vision. In…
Meta Transfer Learning for Facial Emotion Recognition
Dung Nguyen, Kien Nguyen, Sridha Sridharan +3
The use of deep learning techniques for automatic facial expression recognition has recently attracted great interest but developed models are still unable to generalize well due t…
Deep Classification of Epileptic Signals
David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen +1
Electrophysiological observation plays a major role in epilepsy evaluation. However, human interpretation of brain signals is subjective and prone to misdiagnosis. Automating this…