Case studies
White paper
Learning on manifolds
The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented.
Case studies
White paper
A comprehensive survey of geometric deep learning
The survey provides a comprehensive overview of deep learning methods for geometric data (point clouds, voxels, network graphs etc.). The relevant knowledge and theoretical background of geometric deep learning is presented first.
Article/Books/eBooks
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.
Certification
Online Course
Video/Webinars
From Images to Text New forms of Human-AI Interaction
Recent progress in the Computer Vision and Natural Language Processing communities have made it possible to connect Vision and Language together in a variety of different tasks which lie at the intersection of Vision, Language, and Embodied AI.
Case studies
White paper
Video Summarization Using Deep Neural Networks: A Survey
Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content.
Case studies
White paper
Representation Learning for Natural Language Processing
Provides a comprehensive overview of the representation learning techniques for natural language processing.
Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning.