FTCGV( Vol No. )
* *Foundations and TrendsŪ in Computer Graphics and Vision
FTCGV(1)
* Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
* Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
* Object Categorization
FTCGV(10)
* Crowdsourcing in Computer Vision
* Hyper-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision
* Path to Path-Traced Movies, The
* Publishing and Consuming 3D Content on the Web: A Survey
FTCGV(11)
* Discrete Graphical Models: An Optimization Perspective
* Line Drawings from 3D Models: A Tutorial
FTCGV(12)
* Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
* Deep Learning for Multimedia Forensics
FTCGV(13)
* Comprehensive Review of Modern Object Segmentation Approaches, A
* Deep Learning for Image/Video Restoration and Super-Resolution
* Video Summarization Overview
FTCGV(14)
* Semantic Image Segmentation: Two Decades of Research
* Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends
FTCGV(15)
* Computational Imaging Through Atmospheric Turbulence
* Introduction to Neural Data Compression, An
* Learning-based Visual Compression
* Towards Better User Studies in Computer Graphics and Vision
FTCGV(2)
* Image Alignment and Stitching: A Tutorial
* Image-Based Rendering
* Mesh Parameterization Methods and Their Applications
* Stochastic Grammar of Images, A
FTCGV(3)
* Appearance of Human Skin: A Survey, The
* Image and Video Matting: A Survey
* Local Invariant Feature Detectors: A Survey
FTCGV(4)
* 3D Reconstruction from Multiple Images Part 1: Principles
* Bilateral Filtering: Theory and Applications
* Kernel Methods in Computer Vision
* Principles of Appearance Acquisition and Representation
FTCGV(5)
* Computational Symmetry in Computer Vision and Computer Graphics
* Geodesic Methods in Computer Vision and Graphics
FTCGV(6)
* Camera Models and Fundamental Concepts Used in Geometric Computer Vision
* Structured Learning and Prediction in Computer Vision
FTCGV(7)
* Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
* Full-Reference Image Quality Metrics: Classification and Evaluation
FTCGV(8)
* Domain Adaptation for Visual Recognition
* Fresh Look at Generalized Sampling, A
* Sparse Modeling for Image and Vision Processing
FTCGV(9)
* Multi-View Stereo: A Tutorial
* Survey of Photometric Stereo Techniques, A