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]
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 |
Early life and education
editHe 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 Guangdong 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
editHe 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
editHe 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