Publications

Tae Ha Park, Marcus Märtens, Mohsi Jawaid, Zi Wang, Bo Chen, Tat-Jun Chin, Dario Izzo, Simone D’Amico (2023). Satellite Pose Estimation Competition 2021: Results and analyses. Acta Astronautica.

PDF Cite DOI

Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Ng, Tat-Jun Chin (2022). Update Compression for Deep Neural Networks on the Edge. In CVPRW 2022.

PDF Cite Project

Daqi Liu, Alvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian Reid (2022). Asynchronous Optimisation for Event-based Visual Odometry. In ICRA 2022.

PDF Cite

Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael Brown, Tat-Jun Chin (2021). Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. In DICTA.

PDF Cite

Bo Chen, Tat-Jun Chin, Marius Klimavicius (2021). Occlusion-Robust Object Pose Estimation with Holistic Representation. In WACV 2022.

PDF Cite Code Project

Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell (2021). Physical Adversarial Attacks on an Aerial Imagery Object Detector. In WACV 2022.

PDF Cite Video

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lecuyer, Dario Izzo (2021). Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. In CVPRW.

PDF Cite Dataset Project

Hoang Anh Dung, Bo Chen, Tat-Jun Chin (2021). A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. In CVPRW.

PDF Cite Dataset

Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin (2020). End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. In CVPR 2020.

PDF Cite Code

Bo Chen, Kai Ming Ting, Tat-Jun Chin (2020). Anomaly Detection via Neighbourhood Contrast. In PAKDD 2020.

PDF Cite DOI

Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten (2020). Topological Sweep for Multi-Target Detection of Geostationary Space Objects. In TSP.

PDF Cite

Bo Chen, Jiewei Cao, Alvaro Parra, Tat-Jun Chin (2019). Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. In ICCVW 2019.

PDF Cite Code Project

Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu (2018). Local contrast as an effective means to robust clustering against varying densities. Machine Learning, 107(8-10).

PDF Cite DOI

Bo Chen, Kai Ming Ting (2018). Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. In PAKDD 2018.

PDF Cite DOI

Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari (2015). Half-space mass: a maximally robust and efficient data depth method. Machine Learning, 100(2-3).

PDF Cite DOI