Bo Chen
Title
Cited by
Cited by
Year
Satellite pose estimation with deep landmark regression and nonlinear pose refinement
B Chen, J Cao, A Parra, TJ Chin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
252019
Half-space mass: a maximally robust and efficient data depth method
B Chen, KM Ting, T Washio, G Haffari
Machine Learning 100 (2), 677-699, 2015
172015
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
B Chen, TJ Chin, A Parra, J Cao, N Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Local contrast as an effective means to robust clustering against varying densities
B Chen, KM Ting, T Washio, Y Zhu
Machine Learning 107 (8), 1621-1645, 2018
82018
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
D Liu, B Chen, TJ Chin, MG Rutten
IEEE Transactions on Signal Processing 68, 5166-5177, 2020
52020
Neighbourhood Contrast: A Better Means to Detect Clusters Than Density
B Chen, KM Ting
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 401-412, 2018
42018
Physical Adversarial Attacks on an Aerial Imagery Object Detector
A Du, B Chen, TJ Chin, YW Law, M Sasdelli, R Rajasegaran, D Campbell
arXiv preprint arXiv:2108.11765, 2021
2021
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
HA Dung, B Chen, TJ Chin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge
B Chen, D Liu, TJ Chin, M Rutten, D Derksen, M Martens, M von Looz, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Anomaly Detection via Neighbourhood Contrast
B Chen, KM Ting, TJ Chin
Advances in Knowledge Discovery and Data Mining 12085, 647, 2020
2020
Mass estimation as a means to address shortcomings of data depth and density
B Chen
Monash University, 0
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Articles 1–11