Michael Jones | |
---|---|
Academic background | |
Education | Massachusetts Institute of Technology (PhD) |
Academic work | |
Discipline | Computer science |
Sub-discipline | Computer vision Machine learning Artificial intelligence Data analytics |
Institutions | Mitsubishi Electric Research Laboratories |
Michael J. Jones is an American computer scientist and inventor working as a computer vision researcher at Mitsubishi Electric Research Laboratories. [1]
Jones earned a PhD from the Massachusetts Institute of Technology in 1997. [2]
Jones is the co-inventor,with Paul Viola,of the Viola–Jones face detection method, [3] an ICCV 2003 Marr Prize [4] and CVPR Longuet-Higgins Prize [5] winner.
Takeo Kanade is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon University. He has approximately 300 peer-reviewed academic publications and holds around 20 patents.
Articulated body pose estimation in computer vision is the study of algorithms and systems that recover the pose of an articulated body,which consists of joints and rigid parts using image-based observations. It is one of the longest-lasting problems in computer vision because of the complexity of the models that relate observation with pose,and because of the variety of situations in which it would be useful.
In computer vision,the bag-of-words model sometimes called bag-of-visual-words model can be applied to image classification or retrieval,by treating image features as words. In document classification,a bag of words is a sparse vector of occurrence counts of words;that is,a sparse histogram over the vocabulary. In computer vision,a bag of visual words is a vector of occurrence counts of a vocabulary of local image features.
Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li,Marco Andreetto,Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate Computer Vision research and techniques and is most applicable to techniques involving image recognition classification and categorization. Caltech 101 contains a total of 9,146 images,split between 101 distinct object categories and a background category. Provided with the images are a set of annotations describing the outlines of each image,along with a Matlab script for viewing.
The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE) held every other year. It is considered to be one of the top conferences in computer vision,alongside CVPR and ECCV,and it is held on years in which ECCV is not.
The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual conference on computer vision and pattern recognition,which is regarded as one of the most important conferences in its field. According to Google Scholar Metrics (2022),it is the highest impact computing venue.
Jitendra Malik is an Indian-American academic who is the Arthur J. Chick Professor of Electrical Engineering and Computer Sciences at the University of California,Berkeley. He is known for his research in computer vision.
The European Conference on Computer Vision (ECCV) is a biennial research conference with the proceedings published by Springer Science+Business Media. Similar to ICCV in scope and quality,it is held those years which ICCV is not. It is considered to be one of the top conferences in computer vision,alongside CVPR and ICCV,with an 'A' rating from the Australian Ranking of ICT Conferences and an 'A1' rating from the Brazilian ministry of education. The acceptance rate for ECCV 2010 was 24.4% for posters and 3.3% for oral presentations.
Pietro Perona is the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at the California Institute of Technology and director of the National Science Foundation Engineering Research Center in Neuromorphic Systems Engineering. He is known for his research in computer vision and is the director of the Caltech Computational Vision Group.
Dorin Comaniciu is a Romanian-American computer scientist. He is the Senior Vice President of Artificial Intelligence and Digital Innovation at Siemens Healthcare.
Stefano Soatto is professor of computer science at the University of California,Los Angeles (UCLA),in Los Angeles,CA,where he is also professor of electrical engineering and founding director of the UCLA Vision Lab. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2013 for contributions to dynamic visual processes. He received the David Marr Prize in Computer Vision in 1999.
Alan Yuille is a Bloomberg Distinguished Professor of Computational Cognitive Science with appointments in the departments of Cognitive Science and Computer Science at Johns Hopkins University. Yuille develops models of vision and cognition for computers,intended for creating artificial vision systems. He studied under Stephen Hawking at Cambridge University on a PhD in theoretical physics,which he completed in 1981.
Paul Viola is a computer vision researcher,and Distinguished Engineer at Microsoft. He is a former MIT professor,and a former vice president of science for Amazon Air. He is best known for his seminal work in facial recognition and machine learning. He is the co-inventor of the Viola–Jones object detection framework along with Michael Jones. He won the Marr Prize in 2003 and the Helmholtz Prize from the International Conference on Computer Vision in 2013. He is the holder of at least 57 patents in the areas of advanced machine learning,web search,data mining,and image processing. He is the author of more than 50 academic research papers with over 56,000 citations.
Michael Kass is an American computer scientist best known for his work in computer graphics and computer vision. He has won an Academy Award and the SIGGRAPH Computer Graphics Achievement Award and is an ACM Fellow.
Pedro Felipe Felzenszwalb is a computer scientist and professor of the School of Engineering and Department of Computer Science at Brown University.
Xu Li is a Chinese computer scientist and co-founder and current CEO of SenseTime,an artificial intelligence (AI) company. Xu has led SenseTime since the company’s incorporation and helped it independently develop its proprietary deep learning platform.
Stefan Roth is a German computer scientist,professor of computer science and dean of the department of computer science of the Technische Universität Darmstadt. He heads the Visual Inference Lab.
Michael J. Black is an American-born computer scientist working in Tübingen,Germany. He is a founding director at the Max Planck Institute for Intelligent Systems where he leads the Perceiving Systems Department in research focused on computer vision,machine learning,and computer graphics. He is also an Honorary Professor at the University of Tübingen.
Song-Chun Zhu is a Chinese computer scientist and applied mathematician known for his work in computer vision,cognitive artificial intelligence and robotics. Zhu currently works at Peking University and was previously a professor in the Departments of Statistics and Computer Science at the University of California,Los Angeles. Zhu also previously served as Director of the UCLA Center for Vision,Cognition,Learning and Autonomy (VCLA).
Jiaya Jia is a tenured professor of the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). He is an IEEE Fellow,the associate editor-in-chief of one of IEEE’s flagship and premier journals- Transactions on Pattern Analysis and Machine Intelligence (TPAMI),as well as on the editorial board of International Journal of Computer Vision (IJCV).
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