基本信息
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职业迁徙
个人简介
His research interests include computational photography, computer graphics, computer vision and machine learning. He spent the past few years developing machine learning techniques that improve the quality of low-level image-processing tasks such as demosaicking and denoising, and that accelerate general photographic enhancements. While interning at Google, Michaël developed a deep convolutional network for image enhancement that runs in real time on mobile phones. He is also interested in the systems aspect of machine learning and image processing with contributions to the Halide programming language.
研究兴趣
论文共 39 篇作者统计合作学者相似作者
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CVPR 2024 (2024)
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AAAI 2024no. 3 (2024): 2175-2183
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)pp.10571-10580, (2023)
CVPR 2023 (2023): 15933-15942
CVPR 2024 (2023)
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CVPR 2023 (2023): 5927-5936
Vikas Thamizharasan,Difan Liu, Shantanu Agarwal,Matthew Fisher,Michael Gharbi,Oliver Wang, Alec Jacobson,Evangelos Kalogerakis
CoRR (2023)
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CoRRno. 4 (2023): 154:1-154:14
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