no code implementations • 10 Jun 2018 • Akila Pemasiri, Kien Nguyen, Sridha Sridhara, and Clinton Fookes
Localizing the search space by semantically matching object-level correspondence, our method robustly handles large deformations of objects.
no code implementations • 9 Jun 2018 • Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes
State -of-the-art patch matching techniques take image patches as input to a convolutional neural network to extract the patch features and evaluate their similarity.
no code implementations • 25 May 2018 • Dung Nguyen, Kien Nguyen, Sridha Sridharan, Iman Abbasnejad, David Dean, Clinton Fookes
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 to the lack of large emotion datasets for deep learning.
no code implementations • 11 Jan 2018 • David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan
Electrophysiological observation plays a major role in epilepsy evaluation.
no code implementations • 23 May 2019 • Kien Nguyen, Clinton Fookes, Sridha Sridharan
On the other hand, it allows us to investigate the optimality of the classic IrisCode and recent iris networks.
no code implementations • 25 Aug 2020 • Kien Nguyen, John Krumm, Cyrus Shahabi
Users concerned about privacy may want to charge more for data that pinpoints their location accurately, but may charge less for data that is more vague.
no code implementations • 23 Nov 2020 • Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross
Unlike the problem of general object recognition, where real-valued neural networks can be used to extract pertinent features, iris recognition depends on the extraction of both phase and magnitude information from the input iris texture in order to better represent its biometric content.
no code implementations • 25 Nov 2020 • Morgan Frearson, Kien Nguyen
This paper presents a final report for an adversarial attack using visible light on facial recognition systems.
no code implementations • 7 Oct 2021 • Kien Nguyen, John Krumm, Cyrus Shahabi
The Gaussian process is a powerful and flexible technique for interpolating spatiotemporal data, especially with its ability to capture complex trends and uncertainty from the input signal.
no code implementations • 9 Jan 2022 • Kien Nguyen, Clinton Fookes, Sridha Sridharan, YingLi Tian, Feng Liu, Xiaoming Liu, Arun Ross
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and covert observation capabilities.
no code implementations • 1 Apr 2022 • Kien Nguyen, John Krumm
Complicating this prediction approach is the fact that another location measurement could appear at any time, making the prediction redundant and wasteful.
no code implementations • 12 Oct 2022 • Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez
In this survey, we provide a comprehensive review of more than 200 papers, technical reports, and GitHub repositories published over the last 10 years on the recent developments of deep learning techniques for iris recognition, covering broad topics on algorithm designs, open-source tools, open challenges, and emerging research.
no code implementations • 1 May 2023 • Kien Nguyen, Tharindu Fernando, Clinton Fookes, Sridha Sridharan
In particular, we propose a framework to analyze physical adversarial attacks and provide a comprehensive survey of physical adversarial attacks on four key surveillance tasks: detection, identification, tracking, and action recognition under this framework.
no code implementations • 29 May 2023 • Chayan Banerjee, Kien Nguyen, Clinton Fookes, George Karniadakis
We present a systematic literature review of formulation and approaches to computer vision tasks guided by physical laws.
no code implementations • 5 Sep 2023 • Chayan Banerjee, Kien Nguyen, Clinton Fookes, Maziar Raissi
We present a thorough review of the literature on incorporating physics information, as known as physics priors, in reinforcement learning approaches, commonly referred to as physics-informed reinforcement learning (PIRL).
1 code implementation • 7 Jul 2023 • Nhi Kieu, Kien Nguyen, Sridha Sridharan, Clinton Fookes
In this work, we investigate the performance of PerceiverIO, one in the general-purpose multimodal family, in the remote sensing semantic segmentation domain.
1 code implementation • 5 Jan 2024 • Huy Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes
To address this, we introduce AG-ReID. v2, a dataset specifically designed for person Re-ID in mixed aerial and ground scenarios.
1 code implementation • 15 Mar 2023 • Huy Nguyen, Kien Nguyen, Sridha Sridharan, Clinton Fookes
Our dataset presents a novel elevated-viewpoint challenge for person re-ID due to the significant difference in person appearance across these cameras.
Ranked #1 on Person Re-Identification on AG-ReID
1 code implementation • ICCV 2021 • Kien Nguyen, Subarna Tripathi, Bang Du, Tanaya Guha, Truong Q. Nguyen
Several studies have noted that the naive use of scene graphs from a black-box scene graph generator harms image captioning performance and that scene graph-based captioning models have to incur the overhead of explicit use of image features to generate decent captions.