Bo Chen

According to our database, Bo Chen authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Physical Adversarial Attacks on an Aerial Imagery Object Detector.

Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Occlusion-Robust Object Pose Estimation with Holistic Representation.

Bo Chen, Tat-Jun Chin, Marius Klimavicius

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Asynchronous Optimisation for Event-based Visual Odometry.

Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Update Compression for Deep Neural Networks on the Edge.

Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector.

Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin

CoRR, 2021

A Spacecraft Dataset for Detection, Segmentation and Parts Recognition.

Dung Anh Hoang, Bo Chen, Tat-Jun Chin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge.

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Topological Sweep for Multi-Target Detection of Geostationary Space Objects.

Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten

IEEE Trans. Signal Process., 2020

Anomaly Detection via Neighbourhood Contrast.

Bo Chen, Kai Ming Ting, Tat-Jun Chin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization.

Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Mass estimation as a means to address shortcomings of data depth and density.

Bo Chen

PhD thesis, 2019

BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization.

Bo Chen, Tat-Jun Chin, Nan Li

CoRR, 2019

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement.

Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Local contrast as an effective means to robust clustering against varying densities.

Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu

Mach. Learn., 2018

Neighbourhood Contrast: A Better Means to Detect Clusters Than Density.

Bo Chen, Kai Ming Ting

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2015

Half-space mass: a maximally robust and efficient data depth method.

Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

Mach. Learn., 2015