6 citations · 13 across the 5 of their papers we have counts for
8 papers · 1 filter
Update Compression for Deep Neural Networks on the Edge
Bo Chen, Ali Bakhshi, Gustavo Batista +2
An increasing number of artificial intelligence (AI) applications involve the execution of deep neural networks (DNNs) on edge devices. Many practical reasons motivate the need to…
Asynchronous Optimisation for Event-based Visual Odometry
Daqi Liu, Alvaro Parra, Yasir Latif +3
Event cameras open up new possibilities for robotic perception due to their low latency and high dynamic range. On the other hand, developing effective event-based vision algorithm…
Occlusion-Robust Object Pose Estimation with Holistic Representation
Bo Chen, Tat-Jun Chin, Marius Klimavicius
Practical object pose estimation demands robustness against occlusions to the target object. State-of-the-art (SOTA) object pose estimators take a two-stage approach, where the fir…
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…
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
Dung Anh Hoang, Bo Chen, Tat-Jun Chin
Virtually all aspects of modern life depend on space technology. Thanks to the great advancement of computer vision in general and deep learning-based techniques in particular, ove…
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
Daqi Liu, Bo Chen, Tat-Jun Chin +1
Conducting surveillance of the Earth's orbit is a key task towards achieving space situational awareness (SSA). Our work focuses on the optical detection of man-made objects (e.g.,…