Rama Chellappa is affiliated with Johns Hopkins University in the United States. Their research mainly spans the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Biomedical Engineering.
The scientist's work addresses multiple topics in the domain of machine learning and pattern recognition, including:
Rama Chellappa has published extensively, with frequent contributions to venues such as:
Recent papers include:
The scientist has collaborated frequently with colleagues such as Chun Pong Lau, Carlos D. Castillo, Hossein Souri, Joshua Gleason, and Vishal M. Patel.
In addition to journal and conference articles, Rama Chellappa has contributed to books published by Springer Science+Business Media and Johns Hopkins University Press, including titles like Computer Vision - ACCV 2022 and Can We Trust AI?
Rama Chellappa's recognitions include several fellowships and awards over the years, notably:
W. Zhao;R. Chellappa;P. J. Phillips;A. Rosenfeld
P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea
Navaneeth Bodla;Bharat Singh;Rama Chellappa;Larry S. Davis
Raviteja Vemulapalli;Felipe Arrate;Rama Chellappa
Kamran Etemad;Rama Chellappa
R.T. Frankot;R. Chellappa
Rajeev Ranjan;Vishal M. Patel;Rama Chellappa
Raghuraman Gopalan;Ruonan Li;Rama Chellappa
Q. Zheng;R. Chellappa
Wenyi Zhao;A. Krishnaswamy;R. Chellappa;D. L. Swets
Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa
Shaohua Kevin Zhou;R. Chellappa;B. Moghaddam
Vishal M Patel;Raghuraman Gopalan;Ruonan Li;Rama Chellappa
W. Zhao;R. Chellappa;A. Krishnaswamy
Pouya Samangouei;Maya Kabkab;Rama Chellappa
A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor
R. Chellappa;S. Chatterjee
Ted J. Broida;Rama Chellappa
Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel
R. Kashyap;R. Chellappa
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