Bo Chen

Machine Intelligence Scientist

Seeing Machines

Biography

I am a Machine Intelligence Scientist in the Core AI team at Seeing Machines. I work at the forefront of artificial intelligence and machine learning to solve high-impact, technically complex problems across domains. With broad expertise across modern AI—from foundational research to scalable deployment—I consistently develop effective solutions to complex technical challenges. I am deeply driven by curiosity and committed to applying the latest advancements in AI to deliver impactful, reliable results.

Interests

Artificial Intelligence
Deep Learning
Computer Vision

Education

PhD in Artificial Intelligence, 2018

Monash University
MSc in Statistics, 2014

The University of Queensland
BBM in E-Commerce, 2006

Sun Yat-Sen University

Experience

Machine Intelligence Scientist

Seeing Machines

Feb 2022 – Present Canberra, Australia

Research Fellow

AIML, the University of Adelaide

Feb 2019 – Feb 2022 Adelaide, Australia

Teaching Associate

Monash University

Jul 2017 – Dec 2018 Melbourne, Australia

Data Analysis Lead

Moonbasa

Jul 2011 – Jun 2012 Guangzhou, China

Assistant Research Executive

Ipsos

Sep 2010 – Feb 2011 Guangzhou, China

Featured Publications

Bo Chen, Tat-Jun Chin, Marius Klimavicius

October 2021 In WACV 2022

Occlusion-Robust Object Pose Estimation with Holistic Representation

We propose novel techniques to make object pose estimation remarkably robust against occlusions.

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

June 2020 In CVPR 2020

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

We propose BPnP, a network module for backpropagation through a PnP optimizer, as if the optimizer were a differentiable function.

Bo Chen, Jiewei Cao, Alvaro Parra, Tat-Jun Chin

September 2019 In ICCVW 2019

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

We proposed an approach to estimate the 6DOF pose of a satellite. Our method won the first place in the Kelvins Pose Estimation Challenge organised by the European Space Agency (ESA).