


Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.



Recurrent Neural Networks. LSTMs
This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.



3D Image Processing
This lecture overviews 3D Image Processing, 3D volume filtering, (e.g., 3D moving average filter, 3D median filters), 3D mathematical morphology operators, anisotropic diffusion, 3D volume interpolation and 3D histogram equalization, 3D volume al



Pedestrian Detection
This lecture overviews Pedestrian Detection that has many applications in autonomous car vision and smart city applications.



Road Condition Assessment
This lecture overviews Road Condition Assessment that has many applications in autonomous car perception and smart city management. It covers the following topics in detail:



Drone Swarms
This lecture overviews Drone Swarms that has many applications in autonomous drones.