As we all know, CVPR(Conference on Computer Vision and Pattern Recognition) IEEE International Computer Vision and Pattern Recognition Conference is a top-level Conference in the field of image Recognition held by IEEE. In its field, even the entire field of deep learning and AI has great influence. But what you may not know is that this conference not only has a strong influence and strength in technology, but also appears to be very humane in some details.
Since CVPR2015, a new fixed plate has emerged In the work exchange meeting (WorkShop) of CVPR In the past two years: Women In Computer Vision. This WorkShop specially developed for women aims at improving women's sense of presence and status in the field of computer vision research and strengthening the connection between female researchers, and provide a stage for girls who want to make achievements in this industry to show themselves. The speakers and the organizers of the conference they invite every year are all women. Of course, men can come to see their speeches, but due to their special nature, most of the participants will be women.
However, you should not think that this exchange meeting was set up to "take care of" women. Because facts have shown that women do not need "care" at all, and the results obtained by these invited women show that there is no reason for women to be weaker than men in academic research. Let's take a look at the elegant demeanour of these female computer scientists in WICV this year:
Caroline Rebecca Pantofaru
Caroline is a senior research and development scientist at Google. Before that, she was a research and development scientist at Willow Garage (a private Robotics Institute). She got a doctor's degree from Carnegie Mellon University, and she also worked in the robot company INRIA rhbeautne-alpes. Her research focused on machine vision and cognition. I am very interested in recognizing the world from vision, including understanding events, scenes and activities. It also includes reviewers of many academic conferences such as PAMI, ICCV and CVPR, and served as regional director at ICIAP(International Conference on Image Analysis and Processing) in 2013.
Caroline began to participate in the research related to machine learning as early as 2000. The first paper she participated in and published was "from stereo active vision user interface (SAVI)" driven Active Visual Management (Active Visual Control by Stereo Active Vision Interface SAVI), and the most influential paper involved in the research is objective evaluation of image segmentation algorithm (Toward objective evaluation of image segmentation algorithms) so far, Google has been cited more than 600 times academically (the following citations are all obtained academically from Google). He has also made many speeches in academic conferences over the years. Think about how many scholars can't achieve this degree in their whole life, let alone ordinary people like us. But this is not over yet, there are more powerful!
Raquel Urtasun is an assistant professor at the School of Computer Science at the University of Toronto. From 2009 to 2014, he was an assistant professor at Toyota Chicago institute. She received her doctor's degree from the Federal Institute of Technology in Lausanne, Switzerland in 2006. She served as an assistant researcher in the image processing department of the National Institute of Higher telecommunications in Paris, France, and graduated as an electrical engineer at the University of Navarra. Her research fields mainly focus on the fields of statistical learning and computer vision, latent variable models, structured prediction and the application of this technology in understanding human body posture. In particular, he has great interest in parametric Bayesian statistics. She will become a project chairman (Program Chair) on CVPR2018.
Raquel Urtasun has also published dozens of papers in various international academic conferences-CVPR, ECCV, NIPS, ICML, etc. At the same time, she has the largest number of papers among the three (180). A paper she participated in also won one of CVPR's Best Paper Awards in 2013. As the first author, her most influential paper "3D human body trajectory tracking of Gaussian process dynamic model (3D people tracking with Gaussian process dynamical models)" has been cited 402 times.
Kristen Grauman is an associate professor of the Department of Computer Science at the University of Texas at Austin. Before joining the university, she was in the computer vision and machine learning laboratory (the famous CSAIL) of the School of Electrical Engineering and Computer Science at MIT. She completed her PhD career. Her research in the fields of computer vision and machine learning mainly focuses on visual search and object recognition and scalable content-based recognition and retrieval. Her current research mainly focuses on scalable search of meaningful similarity measures, unsupervised field of vision exploration, and common learning between human beings and machine vision systems.
Kristen Grauman should be the person with the greatest academic influence among the three. She will be the organizer of a visual learning WorkShop on behavior and expectation at the 2016 ECCV (European computer vision conference). It can be seen from the cited Times of her papers-the number of her papers is 5 less than that of Raquel Urtasun, but the total cited Times is 1.5 times that of her, he has published 7 CVPR and 4 ICCV papers within one year, which is highly efficient.
In addition to the three female guests who were invited to give a speech, several female scientists who had made greater achievements also attended this year's WICV WorkShop as guests of the dinner party.
Ruzena Bajcsy is one of the chief directors of CVPR 2016. Secretly speaking, the three presidents of this year's conference are all women. She is a professor in the Department of Electronic Engineering and Computer Science, University of Berkeley, California, and the Information Technology Science Research Center (CITRIS). Before joining Berkeley University, she was the leader of the board of directors of computer information science and engineering of the National Science Foundation. She is also a member of the National Academy of Engineering, the National Academy of Sciences, the American Computer Association and the American artificial intelligence Association. She received a master's degree and a doctor's degree from the Department of Electrical Engineering of the Slovakia University of Technology (capital of Slovakia) in peladislava (capital of Slovakia) in 1957 and 1967 respectively. He received a doctor's degree in computer science from Stanford University in 1972. (Dr. Shuangcai, do you feel that your knees are almost on your knees ......)
although she has white hair, the temperament of Bajcsy still remains unchanged. She has won numerous awards in her life and published many books. If you think the previous 180 papers have already been a lot, then I can tell you that the number of Bajcsy's papers has reached 910 horrible ones, and her most frequently cited paper "Active Perception Active Perception" has been cited more than 1300 times. It is no wonder that such brilliant academic achievements can become one of the chairmen of the conference.
Fei-Fei Li (Li Feifei)
li Feifei is not only a woman, but also a Chinese. This time he is also one of the chairmen of CVPR. It is believed that no one who pays attention to the field of computer vision does not know her name. We will not repeat her halo, I just need to tell you, li Feifei's most frequently cited paper "A bayesian hierarchical model A bayesian hierarchical model for learning natural scene categories for learning natural scenery categories" has been cited 3012 times. She also founded the famous image recognition challenge ImageNet, which attracts numerous great companies in this field to participate every year. As the director of Stanford Artificial Intelligence Laboratory and Vision Laboratory, her promotion of artificial intelligence research can be said to be immeasurable.
These five women scientists are only a small part of the whole group of women scientists. No one will doubt that women can also undertake the important task of scientific research. More importantly, I hope that one day the goddesses don't need to rely on such a separate WorkShop to help their own career, but show themselves equally on the same stage with everyone.
Author: Huang Xin