Italy

ICPR 2020

EDL-AI - Explainable Deep Learning/AI

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


technical paper

Joint IADS and IWCR 2020 Workshop

MMDLCA - Multi-Modal Deep Learning: Challenges and Applications

DEEPRETAIL 2020 - Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments 2020

MMForWild2020 - MultiMedia FORensics in the WILD 2020

HCAU 2020 - The First International Workshop on Deep Learning for Human-Centric Activity Understanding

FAPER - International Workshop on Fine Art Pattern Extraction and Recognition

MANPU 2020 - The 4th International Workshop on coMics ANalysis, Processing and Understanding

DLPR - Deep Learning for Pattern Recognition

ManifLearn - Manifold Learning in Machine Learning, From Euclid to Riemann

MOI2QDN - Workshop on Metrification and Optimization of Input Image Quality in Deep Networks

https://d3smihljt9218e.cloudfront.net/transcript/9822/subtitle/453377c42e693fe4b2f21c4d34c43d2b.vtt

English (automatic)

Downloads

Next from ICPR 2020

Joint IADS and IWCR 2020 Workshop

Similar lecture

Quality-based Representation for Unconstrained Face Recognition

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from ICPR 2020

Joint IADS and IWCR 2020 Workshop

Similar lecture

Quality-based Representation for Unconstrained Face Recognition

Downloads