Displaying 352 resources
Facial Expression Recognition
This lecture overviews Facial Expression Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics.
Algorithms for manifold learning
The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).
Fourier Transform
This lecture overviews the topics of continuous-time periodic signals, signal frequencies and Fourier Transform (FT). Its relation to Laplace transform is presented.
AI, System Complexity, Life, Intelligence and Environment
This lecture overviews the relation between matter and system complexity on one hand and Life, Intelligence and Environment on the other one. First the theoretical tools (systems, graph and network theory) are overviewed.
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.
Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.

Digital libraries for 3D human face
This resource provides links to representative repositories of 3D faces. In the last few years, some 3D face datasets have been acquired and made publicly available. Typically, these datasets have been designed targeting a specific application.
Explainable AI
This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.
Crowd Detection and Analysis
This lecture overviews Crowd Detection and Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Smart City applications and surveillance. It covers the following topics in detail: Pedestrian Detection.
Measuring algorithmic bias in face analysis — towards an experimental approach
This resource corresponds to 3rd video from the AI Excellence Lecture Series.
Explore the complexities of bias in artificial intelligence as experts present innovative experimental approaches to assess and mitigate bias in face recognition and analy

An introduction to manifolds
This book provides an introduction to the theory of manifolds in an easy readable way. Key concepts of manifolds, angent spaces and Lie group / Lie algebra are presented.
Human-Centered AI for Autonomous Vehicles
This lecture overviews human-centric AI methods that can be utilized to facilitate visual interaction between humans and autonomous vehicles (e.g., through gestures captured by RGB cameras), in order to ensure their safe and successful cooperation in