Kaichen Zhou
Kaichen Zhou
Department of Computer Science,
Robert Hooke Building
Directions Postal Address
Projects:
Interests
Robotics, Multimodal Learning, Reinforcement Learning
Biography
I'm a DPhil student (01.2020-) in the Department of Computer Science at the University of Oxford. My Ph.D. work was supervised by Prof. Niki Trigoni and Prof. Andrew Markham, which is generally funded by Lighthouse Scholarship.
Driven by the interest in Robotics and Computer Vision, my research aims to build an intelligent robotic system that can more efficiently deal with the traditional SLAM problems by combining traditional methods and deep learning. I graduated from the Department of Computing, Imperial College with a Distinction Degree (2019).
Selected Publications
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VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization
Kaichen Zhou Changhao Chen Bing Wang Muhamad Risqi U. Saputra Niki Trigoni and Andrew Markham
In AAAI Conference on Artificial Intelligence (AAAI). 2021.
Details about VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | BibTeX data for VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | Download (pdf) of VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization
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DiffAutoML: Differentiable Joint Optimization for Efficient End−to−End Automated Machine Learning
Kaichen Zhou‚ Lanqing HONG‚ Fengwei Zhou‚ Binxin Ru‚ Zhenguo Li‚ Trigoni Niki and Jiashi Feng.
2021.
Details about DiffAutoML: Differentiable Joint Optimization for Efficient End−to−End Automated Machine Learning | BibTeX data for DiffAutoML: Differentiable Joint Optimization for Efficient End−to−End Automated Machine Learning
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VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization
Andrew Markham. Kaichen Zhou Changhao Chen Bing Wang Muhamad Risqi U. Saputra Niki Trigoni
In AAAI Conference on Artificial Intelligence 2021. 2021.
Details about VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | BibTeX data for VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization