Kaiming He
Kaiming He | |
|---|---|
| Education |
|
| Occupation | Associate professor at Massachusetts Institute of Technology[1] |
| Scientific career | |
| Fields | Computer Science |
| Institutions | Microsoft Research Asia (2011–2016) Facebook Artificial Intelligence Research (2016–2024) Massachusetts Institute of Technology (2024–present) |
| Thesis | Single Image Haze Removal Using Dark Channel Prior (2011) |
| Doctoral advisor | Tang Xiaoou |
| Website | kaiminghe |
Kaiming He (Chinese: 何恺明; pinyin: Hé Kǎimíng) is a Chinese computer scientist who primarily researches computer vision and deep learning.[2] He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet).[1][3]
Early life and education[edit]
He went to Zhixin High School in Guangzhou, China and was one of few students who scored first place in the 2003 Gaokao (China's college entrance exam) in Guangzhou province.[4] He then went to Tsinghua University, obtaining a BS degree in 2007. From 2007 to 2011, he pursued a PhD at The Chinese University of Hong Kong in its Multimedia Laboratory.[5] His thesis, Single Image Haze Removal Using Dark Channel Prior, was completed in August 2011 under the supervision of Tang Xiaoou.[6]
Career[edit]
He started working for Microsoft Research Asia in 2011 and left in 2016 to join Facebook Artificial Intelligence Research, where he worked as a research scientist until 2024. In 2024, he became an associate professor at Massachusetts Institute of Technology's Department of Electrical Engineering and Computer Science.[2]
His 2016 paper Deep Residual Learning for Image Recognition is the most cited research paper in 5 years according to Google Scholar's reports in 2020 and 2021.[7][8]
Awards and recognitions[edit]
He won ICCV's best paper award (Marr Prize) in 2017 and CVPR's best paper award in 2009 and 2016.[9]
He was awarded the 2023 Future Science Prize along with 3 collaborators for "fundamental contribution to artificial intelligence by introducing deep residual learning".[10]
References[edit]
- ^ a b "Kaiming He". MIT CSAIL. Retrieved 2024-03-13.
- ^ a b "Kaiming He". Github Pages (in Chinese). Retrieved 2024-03-13.
- ^ 吴天一 (2023-07-31). AI科学家何恺明将从Facebook回归学界：明年起执教麻省理工学院. The Paper (in Chinese). Retrieved 2024-03-13.
- ^ 广东省九个高考状元提前“掀盖头”(组图). Sina Corporation (in Chinese). 2003-06-27. Retrieved 2024-03-13.
- ^ "Alumni". Multimedia Laboratory. 2019-01-23. Retrieved 2024-03-13.
- ^ He, Kaiming (2011). Single Image Haze Removal Using Dark Channel Prior (PDF) (PhD thesis). Retrieved 2024-03-12.
- ^ Crew, Bec (2020-07-13). "Google Scholar reveals its most influential papers for 2020". Nature Index. Retrieved 2024-03-13.
- ^ Crew, Bec (2021-08-24). "Google Scholar reveals its most influential papers for 2021". Nature Index. Retrieved 2024-03-13.
- ^ "Computer Vision Awards". The Computer Vision Foundation. Retrieved 2024-03-13.
- ^ "Future Science Prize 2023". Nature. 2023-12-27. Retrieved 2024-03-13.
External links[edit]
- Home page
- Kaiming He publications indexed by Google Scholar
| Authority control databases: Academics |
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