Computer Vision, Imaging and Computer Graphics - Theory and Applications: International Joint Conference, VISIGRAPP 2014, Lisbon, Portugal, January 5-8, 2014, Revised Selected Papers

Biological and Computer Vision

Automated Machine Learning: Methods, Systems, Challenges

Computer Vision, Imaging and Computer Graphics Theory and Applications: 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers

Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Computer Vision and Computer Graphics. Theory and Applications: International Conference VISIGRAPP 2007, Barcelona, Spain, March 8-11, 2007, Revised Selected Papers

Intelligent Image and Video Interpretation: Algorithms and Applications: Algorithms and Applications

Graph Drawing and Network Visualization: 26th International Symposium, GD 2018, Barcelona, Spain, September 26-28, 2018, Proceedings

Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML

Computer Vision, Imaging and Computer Graphics. Theory and Applications: International Joint Conference, VISIGRAPP 2010, Angers, France, May 17-21, 2010. Revised Selected Papers

Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Advanced Topics in Computer Vision

Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17–19 May 2001

Video Analytics for Audience Measurement: First International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers

Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection

Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks