Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
to achieve advanced recognition, reasoning, and decision-making—is growing increasingly important as a societal infrastructure. Its applications span a wide range of fields, including image and video
-
providing technologies that enable on-sensor, real-time recognition and classification of scenes under uncontrolled lighting conditions, in the presence of moving objects, and at the same cost of a
-
Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
-
systems, from programming languages to software engineering, from human machine interaction to signal and image recognition, multimedia processing, knowledge engineering, artificial intelligence, and
-
demonstrate the potential to achieve national and international recognition. The candidate will be expected to contribute to the intellectual, artistic, and curricular development of the Photography area and
-
King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 1 hour ago
Rohrbach and T Tuytelaars Code: https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses Theme C Vision&Language learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual
-
Inria, the French national research institute for the digital sciences | Montbonnot-Saint-Martin, Rhône-Alpes | France | 9 days ago
] Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10518 Requirements Specific Requirements The candidate is expected to have skills in any or all of the following domains
-
of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply
-
-222693703 Recognition of academic degrees and higher education diplomas awarded by foreign higher education institutions Decreto-Lei n.º 66/2018, de 16 de agosto in its current wording https
-
Instruments, TDA4VH-Q1 Processors for High-Performance Automotive ADAS & Autonomous Driving, Product Folder. [7] K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," IEEE