Bo Chen

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 21

Top Topics

Texture And Shape Features

Top Venues

Publications

Bo Chen, Tat-Jun Chin, Marius Klimavicius
Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV (2022)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV (2022)
Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. CoRR (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CoRR (2022)
Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. ICRA (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CVPR Workshops (2022)
Dung Anh Hoang, Bo Chen, Tat-Jun Chin
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops (2021)
Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lecuyer, Dario Izzo
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops (2021)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR (2021)
Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR (2021)
Dung Anh Hoang, Bo Chen, Tat-Jun Chin
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR (2021)
Bo Chen, Tat-Jun Chin, Marius Klimavicius
Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR (2021)
Bo Chen, Kai Ming Ting, Tat-Jun Chin
Anomaly Detection via Neighbourhood Contrast. PAKDD (2) (2020)
Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR (2020)
Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR (2020)
Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Trans. Signal Process. 68 (2020)
Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops (2019)
Bo Chen, Tat-Jun Chin, Nan Li
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR (2019)
Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR (2019)
Bo Chen, Kai Ming Ting
Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. PAKDD (3) (2018)
Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu
Local contrast as an effective means to robust clustering against varying densities. Mach. Learn. 107 (8-10) (2018)
Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
Half-space mass: a maximally robust and efficient data depth method. Mach. Learn. 100 (2-3) (2015)