Series: Synthesis Lectures on Computer Vision

Image-Based Modeling of Plants and Trees

Structured Representation Learning

Fine-Grained Image Analysis: Modern Approaches

Covariances in Computer Vision and Machine Learning

Computer Vision in the Infrared Spectrum

Advances in Face Presentation Attack Detection

Video Object Segmentation

Advances in Multimodal Information Retrieval and Generation

A Unifying Framework for Formal Theories of Novelty

Machine Unlearning for Governance of Foundation Models

Normalization Techniques in Deep Learning

Video Object Tracking

A Guide to Convolutional Neural Networks for Computer Vision

Normalization Techniques in Deep Learning

Structured Representation Learning

A Unifying Framework for Formal Theories of Novelty

Vision-Based Interaction

Data Association for Multi-Object Visual Tracking

Advances in Face Presentation Attack Detection

Ellipse Fitting for Computer Vision

Computational Methods for Integrating Vision and Language

Extreme Value Theory-Based Methods for Visual Recognition

Boosting-Based Face Detection and Adaptation

Computational Texture and Patterns

Deformable Surface 3D Reconstruction from Monocular Images

Fine-Grained Image Analysis: Modern Approaches

Camera Networks

Video Object Segmentation

Person Re-Identification with Limited Supervision

Multi-Modal Face Presentation Attack Detection

The Maximum Consensus Problem

Visual Domain Adaptation in the Deep Learning Era

Video Object Tracking

Probabilistic and Biologically Inspired Feature Representations

Elastic Shape Analysis of Three-Dimensional Objects

Background Subtraction