I am a Machine Learning Engineer at Apple, working on machine learning and computer vision to enable Apple experiences. I received my PhD from the University of British Columbia, where I was advised by Prof. Kwang Moo Yi. My background spans computer vision, 3D vision, and generative AI, with particular interests in visual localization and novel view synthesis. Previously, I was a Research Scientist at Haiper.ai, where I worked on 3D reconstruction and AI-generated content.
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NeuMan: Neural Human Radiance Field from a Single Video Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan ECCV 2022 [arXiv] [paper] [code] [project] [video] [poster] |
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COTR: Correspondence Transformer for Matching Across Images Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi ICCV 2021 oral [arXiv] [video] [code] |
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Optimizing Through Learned Errors for Accurate Sports Field Registration Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi WACV 2020 [arXiv] [video] [code] [poster] |
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Linearized Multi-Sampling for Differentiable Image Transformation Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi ICCV 2019 oral [arXiv] [code] [poster] |
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Depth-aware image vectorization and editing Shufang Lu, Wei Jiang, Xuefeng Ding, Craig S. Kaplan, Xiaogang Jin, Fei Gao, Jiazhou Chen The Visual Computer/Computer Graphics International 2019 [Paper] |