Summary of global computer vision cool 1

 

1. The pattern of the CV circle. Based on the teacher's commitment, we will summarize a tree stucture of CV guys. David Marr -----> Shimon Ullman (Weizmann) -----> Eric Grimson (MIT) -----> Daniel hutenlocher (Cornell) -----> Pedro felzenszwalb (Chicago) Thomas binford (Stanford) -----> David Lowe (UBC) -----> Jitendra Malik (UC Berkeley) -----> Pietro perona (Caltech) -----> Stefano soatto (ucia) -----> Fei-fei Li (Princeton) -----> Jianbo Shi (UPenn) -----> Yizhou Yu (uiuc) -----> Christoph bregler (NYU) -----> Serge belongie (UCSD) -----> Alyosha Efros (CMU) Andrew Blake (Microsoft Research Cambridge) -----> Andrew zisserman (Oxford) -----> Andrew Fitzgibbon (Microsoft Research Cambridge) -----> Robert to Cipolla (Cambridge) -----> Alan Yuille (ucia) (The relationship between teachers and responsibilities of the UK school is not clear. I have heard that I have added my own guesses. In fact, there are several Very good researcher such as Vladimir Kolmogorov, although not a student of Andrew blke Also belongs to this school .) Thomas Huang (uiuc) -----> Yong Rui (Microsoft Research Redmond) -----> Nebojsa jojic (Microsoft Research Redmond) -----> Ying Wu (Northwestern University) -----> Hai Tao (UCSC) -----> Yuncai Liu (SJTU) (There are too many people in the Huang series, and it is strange that the Web Information of uiuc is incomplete. Only what I know is listed here .) In addition, there are famous Daniel such as Takeo kanade, who are not listed in detail. Basically accounts for half of the CV.   Olivier faugeras ---- Ponce uiuc --- Lazebnik ---- Zhengyou Zhang MSR ---- Martial Hebert CMU Mit ai lab Poggio --- Oliva --- Serre Freeman also came to Taiyuan Sci-Tech for poverty alleviation in 1980s. --- Y. Weiss ----- Levin --- Antonio Torralba (Research Scientist) Trevor Darrell --- Grauman Add Zisserman has a good student. Lifeifei partner rob Fergus   MIT's brain & cognitive science DEPT and csail gather a group of people, some of which are low level and some are mid level to high level. Their work is worth noting. Of course, vision should start with the great David Marr. Tomaso Poggio and Richard Whitman are Marr colleagues who have inherited their ideas and kept moving on. Poggio has focused on his hierarchical model in recent years. T. The first PhD student in Poggio is Christof Koch (klab at Caltech ). Oh, by the way, another mentor of Koch is Valentino breitenberg, which also influences the big man of the times. Koch focuses on consciousness. Many articles on nature reflect his research ideas. However, they also have some preliminary visual problems, such as attention. Koch's well-known disciples include Laurent itti and Li Feifei. Richard Whitman is too old to care about what he is doing. However, his perceptual Science Group is very influential. Other familiar teachers in this group include Aude Oliva and eh Adelson. One of Adelson's most famous things is the illusion of constant color, which was posted on science in. Concerning Oliva, the previous post is wrong. She is not a student of Poggio. This guy and Torralba are fellow students studying in France, mainly starting from the path of psychology, the Battle of fame is hybrid image, which was developed together with Antonio torrralba. This hybrid image was actually available in 1980s, but it was initially discussed in psychology and there was no very influential article. Later, we began to use natural image statistics to obtain gist theory. Of course, this projection itself was switched to Siggraph, and its impact was far-reaching. Well, this has little to do with CV. Perceptual Science Group has a lot of talents. Their alumni list can be described as an ultra-Luxurious lineup: Yair Weiss, Josh Tenenbaum, Pawan Sinha, Bill Freeman ......   2. In recent years, CV guys are particularly active. USA Jitendra Malik, UC Berkeley Pietro perona, Caltech Serge belongie, UCSD University of California San Diego Jianbo Shi, UPenn Stefano soatto, ucia Fei-fei Li, Princeton William Freeman, MIT Trevor Darrell, MIT Simon Baker, CMU Yanxi Liu, CMU Songchun Zhu, ucia Alan Yuille, ucia Yi Ma, uiuc Michael black, brown Carlo Tomasi, Duke Ramin zabih, Cornell Shree Nayar, Columbia Rama chellappa, Maryland Steve Seitz, University of Washington (UC Berkeley, Caltech, UCSD, UPenn, MIT, CMU, ucia, uiuc, brown, Duke, Cornell, coiumbia, marryland, Washington) Zhu songchun (Song-chun Zhu) Http://www.stat.ucla.edu /~ Sczhu/ Europe Andrew zisserman, Oxford, UK Andrew Fitzgibbon, Microsoft Research Cambridge, UK Robert to Cipolla, Cambridge, UK Jean Ponce, INRIA, France Cordelia Schmid, INRIA, France Bill triggs, Lear, France Yair Weiss, Hebrew University, Israel Anat Levin, Hebrew University, Israel Michal Irani, Weizmann, Israel Luc Van Gool, University of il-ven/ETH Zurich, Czechic China Harry Shum, msra Xiaoou Tang, msra/CUHK Jian sun, msra Steve Lin, msra Yasuyuki Matsushita, msra Zhouchen Lin, msra Long Quan, HKUST Chi-Keung Tang, HKUST   3. Divided by research direction Based on the research direction, it should be more reasonable. Now computer vision, computer graphics and images, and machine learning are integrated. J. Malik, Zhu songchu partial segmentation; D. Lowe, S. Ullman, and Poggio are mainly used to study vision from the perspective of Biological vision; Zisserman, Schmid, and Lowe study local features; Luc Van goo, long quanl 3D reconstruction; Perona, Li feife, Freeman visual I learning, Object Classification; There are also motion analysis, visual tracking, and texture analysis ............. Professor Niu from the U.S. computer field ranks. You can click here to view their personal webpages, introductions, and contact information for your convenience. There are many applicants for computer science in the United States. I hope the following articles can help you search for them. A lot of fellow and those who have won the Turing Award, but there are not many network directions, only knowDavid CullerAndLeslie LampORT. There are still a lot of Chinese people here. InThis Paper,J. E. Hirsch, Dept of physics, UCSD, proposes "the index H, defined The number of papers with citation number higher or equal to H, as a useful index to characterize the scientific output of a researcher ." Here is a partial list of computer science researchers who each has an H index of 40 or higher accordingGoogle Scholar. Several websites provide easy-to-use interfaces for computing an H index, includingScholar IndexAndHarzing's publish and perish. Send comments, corrections, and New entriesJens palsberg(Ucia). I do maintain the list: mostly, I add people and update numbers Request and when I happen to notice a high H index. most of the numbers on this page are the results of counting efforts by the listed people themselves. I have computed some of the numbers myself by comparing output fromGoogle ScholarWith other listings of research papers, such as from personal webpages orDblp. 92Terrence sejnowski(UCSD), IEEE fellow, Member Of the Institute of Medicine 89Hector Garcia-Molina(Stanford), ACM fellow, Member of the National Emy of Engineering 87Jeffrey D. Ullman(Stanford), ACM fellow, Member of the National Emy of Engineering 82Robert Tarjan(Princeton), Turing Award, ACM fellow, Member of the National Emy of Engineering 80Deborah estrin(Ucia), ACM fellow, IEEE Fellow, Member of the National Emy of Engineering 79Christos H. Papadimitriou(Berkeley), ACM fellow, Member of the National Emy of Engineering 77Don towsley(U Mass, Amherst), ACM fellow, IEEE fellow 73Ian Foster(Argonne National Laboratory & U Chicago) 71Scott Shenker(Berkeley), ACM fellow, IEEE fellow 70David culler(Berkeley), ACM fellow, Member of the National Emy of Engineering 70David haussler(UC Santa Cruz) 69Nick Jennings(U southamton), Fellow of the Royal Emy of Engineering 68Michael I. Jordan(Berkeley), AAAS fellow, IEEE fellow, aaai fellow 68Takeo kanade(CMU), ACM fellow, IEEE fellow, Member of the National Emy of Engineering 64Demetri terzopoulos(Ucia), ACM fellow, IEEE fellow, member of the European Emy of Sciences 64Martin Vetterli(EPFL), IEEE fellow 63Marco Dorigo(U Libre de Bruxelles) 62Ron Halevy [RON Levy](Google), ACM fellow 61Mario gerla(Ucia), IEEE fellow 58Luca cardelli(Microsoft), ACM fellow 58Ronald Fagin(IBM Almaden), ACM fellow, IEEE fellow, AAAS fellow, ACM sigmod Edgar F. codd innovations Award 58Anil K. Jain(Michigan State U), ACM fellow, IEEE fellow 58Amit sheth(Wright State U), IEEE fellow 57Martin Abadi(UC Santa Cruz and Microsoft), ACM fellow 57Mihir bellare(UCSD) 57Sushil jajodia(George Mason U) 57Leslie Lamport(Microsoft), member of the National Emy of Engineering 56David Dill(Stanford), ACM fellow, IEEE fellow 56Randy H. Katz(Berkeley), ACM fellow, IEEE fellow, Member of the National Emy of Engineering 56Steven Salzberg(U Maryland) 56HONGJIANG Zhang(Microsoft), ACM fellow, IEEE fellow   Reprinted by the superbull smart vehicle research center and Niu Ren prof. dr. dariu M. Gavrila (09:54:19) Http://www.gavrila.net/index.html Recently, I have been reading Gavrila and their team's papers. I feel very good. People have been engaged in research on smart vehicles with support from Mercedes for more than a decade, moreover, a pedestrian detection and anti-collision system-"protector" has been developed for a long time. It has applied computer vision, image processing, and pattern recognition theories to the safety monitoring of road vehicles, really awesome. Their testing experiments are also made of Mercedes-Benz cars. They have profound theoretical accumulation and practical development experience in intelligent vehicles, pedestrian detection, and 3D reconstruction. Gavrila's paper is very classic, especially when it comes to cutting-edge introduction. In recent years, his German students enzweiler and Munder have worked in cvpr and IEEE Transaction on PAMI published a series of articles on classification and I personally feel that it has become a theoretical system. It is worth learning. As a result, I also thought about the research content and direction of researchers. What kind of positioning does our research need? Is it necessary to solve theoretical problems or problems related to production, industry, and people's life? Is it for research or for solving practical problems? How many papers are published or researched to evaluate the title? I personally think that we must have a good orientation and a serious attitude. If we have research interests and enthusiasm, our research is indeed forward-looking and can indeed solve some practical problems, this should be a very happy thing. Continuing in the direction of interest, we will sort out the research results and have the results of papers, patents, and so on.