Richard P. Wildes is a researcher affiliated with York University in Canada. Their work primarily lies in the field of Computer Science, with a strong focus on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Signal Processing, and Media Technology.
The scientist's research covers several main topics including Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Multimodal Machine Learning Applications, Video Surveillance and Tracking Methods, Video Analysis and Summarization, Advanced Vision and Imaging, and Neural Dynamics and Brain Function.
Frequent publication venues for Richard P. Wildes include:
Some recent representative papers by Richard P. Wildes include:
Richard P. Wildes has collaborated extensively with several co-authors, including:
Their research is marked by a multidisciplinary approach, bridging cognitive neuroscience and various aspects of computer vision and machine learning. This interdisciplinary perspective is reflected in both the range of studied topics and the diversity of publication venues. The focus on dynamic vision tasks such as trajectory prediction and action recognition is evident in the recent works authored or co-authored by them.
R.P. Wildes
Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes
Richard Patrick Wildes;Jane Circle Asmuth;Keith James Hanna;Stephen Charles Hsu
Christoph Feichtenhofer;Axel Pinz;Richard P. Wildes
Richard P. Wildes;Jane C. Asmuth;Gilbert L. Green;Steven C. Hsu
R.P. Wildes;J.C. Asmuth;G.L. Green;S.C. Hsu
Rakesh Kumar;Stephen Charles Hsu;Keith Hanna;Supun Samarasekera
G. Egnal;R.P. Wildes
R. Kumar;H. Sawhney;S. Samarasekera;S. Hsu
T.A. Camus;R. Wildes
Craig Fancourt;Luca Bogoni;Keith Hanna;Yanlin Guo
Konstantinos G. Derpanis;Matthieu Lecce;Kostas Daniilidis;Richard P. Wildes
Konstantinos G. Derpanis;Mikhail Sizintsev;Kevin Cannons;Richard P. Wildes
Andrei Zaharescu;Richard Wildes
Richard P. Wildes;James R. Bergen
Isma Hadji;Richard P. Wildes
R.P. Wildes
Richard P. Wildes;Michael J. Amabile;Ann-Marie Lanzillotto;Tzong-Shyng Leu
K. G. P. Derpanis;R. Wildes
Geoffrey Egnal;Max Mintz;Richard P. Wildes
If you think any of the details on this page are incorrect, let us know.
If you're considering a future in Computer Science, there are several online educational options that suit a variety of needs and budgets. For students looking to quickly advance their qualifications, exploring the fastest masters degree online programs can be a smart choice. These accelerated paths help you gain expertise and credentials in less time, allowing for faster entry or advancement in the tech industry.
Certain graduate programs stand out as the most in demand masters degrees, often leading to high-growth career opportunities in computing, data analysis, cybersecurity, and engineering.
For those new to higher education or seeking a foundational qualification, an online associate degree can provide essential skills and open the door to entry-level jobs or further study.
Careful consideration of costs is key. Many students search for the most affordable online colleges to ensure a high return on their educational investment. Whether you choose an associate, bachelor's, or master's program, online degrees offer flexible, accessible pathways to promising careers in Computer Science and related sectors.
Paul Sabatier University
University of Colorado Boulder
Toronto Western Hospital
Monash University
Chinese Academy of Sciences
Goddard Institute for Space Studies
Kyoto Pharmaceutical University
East Tennessee State University
University of Tokyo
University of California, Berkeley
National Institutes of Health
University of Illinois at Urbana-Champaign
Shahid Beheshti University
University of Sydney
University of Oulu
University of Malta
