33 citations · 51 across the 9 of their papers we have counts for
9 papers
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…
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…
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.,…
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Bo Chen, Alvaro Parra, Jiewei Cao +2
Deep networks excel in learning patterns from large amounts of data. On the other hand, many geometric vision tasks are specified as optimization problems. To seamlessly combine de…
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
Bo Chen, Jiewei Cao, Alvaro Parra +1
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image. Such a problem is crucial in many space proximity operations, su…