|Call for Workshop: Applied Deep Learning For Computer Vision - [Registration is open]
Time & Schedule Thursday, 7 March 2019 Starting from 13:00 PM till 19:00 PM No. seats: 40 people
This workshop offers an applied, hands-on exploration of the application of deep learning in computer vision. It builds practical intuition about the core ideas of how to solve real world computer vision problems using deep neural networks. The standard workflow for approaching and solving computer vision problems using deep learning is presented and commonly encountered issues are discussed.
Understanding deep learning
DL for Image Classification
3. DL for Image Retrieval
DL for Object Detection
DL for Semantic Segmentation
DL for Similarity Learning
DL for Image Captioning
Deep Generative Models
DL for Video Classification
Deployment of deep models
About the Workshop
The workshop will be presented in four classes. Each class is one and a half hours. The prerequisites for the workshop is fundamentals of machine learning and image processing.
About the instructor
Babak Majidi received the BSc and MSc degrees in computer engineering from the University of Tehran, Tehran, Iran, in 2000 and 2003, respectively. He received the PhD degree in computer engineering from Swinburne University of Technology, Melbourne, Australia, in 2014. Currently, he is assistant professor in Department of Computer Engineering, Khatam University, Tehran, Iran. His main research interests include applied machine learning, big data analytics, applied computer vision and smart environments.
Time & Schedule
Thursday, 7 March 2019
Starting from 13:00 PM till 19:00 PM
No. seats: 40 people
150 Thousand Toman for regular participants
100 Thousand Toman for students/ISMVIP members/IEEE members/ IPRIA 2019 registered authors
75 Euro for regular participants
50 Euro for students/ISMVIP members/IEEE members
For registering please click Workshop.
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