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About me

I’m currently an AI research engineer at Hyundai Motor Group Innovation Center in Singapore (HMGICS). Previously, I did my PhD at the National University of Singapore under the supervision of Gim Hee Lee. Before that, I also worked several years in DSO National Laboratories, which is Singapore’s defence R&D organization. My research interest is in Computer Vision (particularly in 3D related topics, both deep and non-deep). To keep my sanity, my personal interests include consumer technology and photography.

I can be contacted at yewzijian at u.nus.edu .

Publications

	REGTR: End-to-end Point Cloud Correspondences with Transformers Zi Jian Yew and Gim Hee Lee CVPR 2022 [Paper] [Code]
	Learning Iterative Robust Transformation Synchronization Zi Jian Yew and Gim Hee Lee 3DV 2021 [Paper] [Code]
	City-scale Scene Change Detection using Point Clouds Zi Jian Yew and Gim Hee Lee ICRA 2021 [Paper] [Project page]
	RPM-Net: Robust Point Matching using Learned Features Zi Jian Yew and Gim Hee Lee CVPR 2020 [Paper] [Supplementary Material] [Code]
	Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes Ziquan Lan, Zi Jian Yew, Gim Hee Lee CVPR 2019 [Paper] [Code]
	3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration Zi Jian Yew and Gim Hee Lee ECCV 2018 [Paper] [Supplementary Material] [Code]