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ORCIDBo Chen 0009
Person information
- affiliation: University of Adelaide, SA, Australia
- affiliation (PhD): Monash University, Faculty of Information Technology, Clayton, Australia
Other persons with the same name
- Bo Chen — disambiguation page
- Bo Chen 0001
![[0000-0001-5151-9388]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5151-9388")
— Xidian University, National Lab of Radar Signal Processing, Xi'an, China (and 2 more) - Bo Chen 0002 — University of Warwick, Warwick Business School, Coventry, UK (and 1 more)
- Bo Chen 0003 — City University of Hong Kong, Department of Mathematics, Hong Kong (and 2 more)
- Bo Chen 0004 — Shenzhen University, College of Mathematics and Statistics, China (and 2 more)
- Bo Chen 0005 — Ningbo University, College of Information and Electronic Engineering, China (and 1 more)
- Bo Chen 0006 — Tencent WeChat, China
- Bo Chen 0007 — Lingnan Normal University, College of Information Engineering, Guangdong, China (and 1 more)
- Bo Chen 0008 — Portland State University, Department of Computer Science, OR, USA
- Bo Chen 0010 — University of Science and Technology of China, School of Software Engineering, Hefei, China
- Bo Chen 0011 — Argonne National Laboratory, Lemont, IL, USA (and 1 more)
- Bo Chen 0012 — Cornell University, Department of Chemistry and Chemical Biology, Ithaca, NY, USA
- Bo Chen 0013 — Western University, London, ON, Canada
- Bo Chen 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Bo Chen 0015 — Peking University, Institute of Remote Sensing and Geographic Information System, College of Engineering, Beijing, China (and 1 more)
- Bo Chen 0016 — Tianjin University, School of Electrical and Information Engineering, China
- Bo Chen 0017 — Beijing University of Posts and Telecommunications, School of Computer Science, China
- Bo Chen 0018 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Bo Chen 0019 — Google, Venice, CA, USA
- Bo Chen 0020 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Bo Chen 0021 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Bo Chen 0022 — Taiyuan University of Technology, College of Information and Computer, Jinzhong, China
- Bo Chen 0023 — Noah's Ark Lab, Huawei, Shenzhen, China (and 1 more)
- Bo Chen 0024 — Hubei University of Art and Science, Department of Chinese Language and Literature, Xiangyang, China (and 2 more)
- Bo Chen 0025 — University of Illinois at Urbana-Champaign, IL, USA
- Bo Chen 0026 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Bo Chen 0027 — Southern Methodist University, Department of Economics, Dallas, TX, USA
- Bo Chen 0028 — Michigan Technological University, Department of Computer Science, Houghton, USA (and 1 more)
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2020 – today
- 2022
[c10]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: 3075-3085- [c9]Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. ICRA 2022: 9432-9438 - [c8]Bo Chen, Tat-Jun Chin, Marius Klimavicius:
Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV 2022: 2223-2233 - [c7]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: 3798-3808 - [i9]Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. CoRR abs/2203.01037 (2022) - [i8]Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin:
Update Compression for Deep Neural Networks on the Edge. CoRR abs/2203.04516 (2022) - 2021
- [c6]Dung Anh Hoang, Bo Chen, Tat-Jun Chin:
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops 2021: 2012-2019 - [c5]Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo:
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops 2021: 2086-2094 - [i7]Dung Anh Hoang, Bo Chen, Tat-Jun Chin:
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR abs/2106.08186 (2021) - [i6]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 abs/2108.11765 (2021) - [i5]Bo Chen, Tat-Jun Chin, Marius Klimavicius:
Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR abs/2110.11636 (2021) - [i4]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 abs/2112.01723 (2021) - 2020
- [j3]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: 5166-5177 (2020) - [c4]Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin:
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR 2020: 8097-8106 - [c3]Bo Chen, Kai Ming Ting, Tat-Jun Chin:
Anomaly Detection via Neighbourhood Contrast. PAKDD (2) 2020: 647-659 - [i3]Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten:
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR abs/2003.09583 (2020)
2010 – 2019
- 2019
- [b1]Bo Chen:
Mass estimation as a means to address shortcomings of data depth and density. Monash University, Australia, 2019 - [c2]Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops 2019: 2816-2824 - [i2]Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR abs/1908.11542 (2019) - [i1]Bo Chen, Tat-Jun Chin, Nan Li:
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR abs/1909.06043 (2019) - 2018
- [j2]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): 1621-1645 (2018) - [c1]Bo Chen, Kai Ming Ting:
Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. PAKDD (3) 2018: 401-412 - 2015
- [j1]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): 677-699 (2015)
Coauthor Index
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