People working on the scientific research front may expect their papers to be included in top scientific journals. Nowadays, there are many Chinese scholars who are able to publish their articles in overseas magazines, but even if they appear in the magazine, there is one key statistic: the number of citations. For a scientific paper, the most tangible data is whether anyone has cited your paper. Generally speaking, there are not many citations, which means that the level of the paper is limited.
In many papers, his paper has not only received a large number of citations, but also the number of citations in the world. This is the team of 4 people including He Kaiming. Their article "Deep Residual Learning for Image Recognition" Deep Residual Learning for Image Recognition was published in 2016, and the number of citations reached 25,256. But even in second place, it is still more than 20,000 behind. However, considering that as a post-80s generation, He Kaiming is already very proud of his achievements.
He Kaiming's article is about computer vision . In this field, although He Kaiming is not very old, he was selected by an Indian magazine as the current six leading figures in the field of computer vision. As the youngest, he was ranked last.
Ranked No. 1 is Oxford University Professor Andrew Zisserman, who is 64 years old this year. Ranked second is the 73-year-old Indian-American Anil K. Jain, a professor at the University of Michigan. No. 3 was born in 1960, , University of California, Berkeley, , Professor Jitendra Malik in the Department of Electronic Engineering and Computer Science; No. 4 was Japanese Takeo Kanide, who was 76 years old. The sixth place is the 61-year-old Frenchman Yann LeCun. He Kaiming is indeed very young compared to these professors who are already over sixty years old. Compared with their achievements and experience, He Kaiming still has a lot of room for improvement.
So far, people have seen that He Kaiming has made a very good start.This beginning should start in Guangzhou. At Guangzhou Zhixin Middle School where he studied, he won the first prize of the National Physics Competition and the Provincial Chemistry Competition. The reason why he was able to be recommended to Tsinghua University in 2003 may be because he has shown outstanding talents. His full score in the college entrance examination is enviable.
In the third year of Tsinghua University , He Kaiming came to Microsoft Research Asia for an internship. At that time, the research institute was in charge of vision by Tang Xiaoou , one of the leading figures in computer vision research. After graduation, He Kaiming studied at Chinese University of Hong Kong for postgraduate studies, and at the same time continued to participate in the work of Microsoft Research Asia. Since then, He Kaiming has made a leap forward.
In 2009, his first paper, Single ImageHaze Removalusing Dark Channel Prior, was published and was named the best paper of the year by Conference onComputer Vision and Pattern Recognition. This is the first time that a Chinese has won this honor in 25 years. He Kaiming began to be noticed by the outside world. Then his thesis began to create the miracle of the thesis written by the Chinese, and no one in the country can match it. He was only in his twenties at this time.
What made a student like He Kaiming achieve such results? Is it because of his superhuman talent? Does he have the same IQ as Einstein ? There are too many topics to discuss here.
Compared with He Kaiming, why do some people cheat for the purpose of publishing articles? Why do some people spend all their energy on slacking off their beards and horses, instead of doing their knowledge honestly? Why not just like He Kaiming and simply say on his website: I am a research scientist in Facebook Artificial Intelligence Research (FAIR). After I got my Ph.D., I joined Microsoft Asian Research (MRRA).My research interests are computer vision and deep learning. That's it, no more, no less.
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