51 citations · 78 across the 6 of their papers we have counts for
6 papers
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector
Andrew Du, Yee Wei Law, Michele Sasdelli +4
Data collected by Earth-observing (EO) satellites are often afflicted by cloud cover. Detecting the presence of clouds -- which is increasingly done using deep learning -- is cruci…
A Multi-viewpoint Outdoor Dataset for Human Action Recognition
Asanka G. Perera, Yee Wei Law, Titilayo T. Ogunwa +1
Advancements in deep neural networks have contributed to near perfect results for many computer vision problems such as object recognition, face recognition and pose estimation. Ho…
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Andrew Du, Bo Chen, Tat-Jun Chin +4
Deep neural networks (DNNs) have become essential for processing the vast amounts of aerial imagery collected using earth-observing satellite platforms. However, DNNs are vulnerabl…
Towards Distributed Privacy-Preserving Prediction
Lingjuan Lyu, Yee Wei Law, Kee Siong Ng +4
In privacy-preserving machine learning, individual parties are reluctant to share their sensitive training data due to privacy concerns. Even the trained model parameters or predic…
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
Asanka G Perera, Yee Wei Law, Javaan Chahl
Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces. Currently, t…
Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection
Asanka G Perera, Yee Wei Law, Javaan Chahl
We consider the problem of estimating human pose and trajectory by an aerial robot with a monocular camera in near real time. We present a preliminary solution whose distinguishing…