Workshop Program
9:00- 9:05 | Opening
Slide PDF (2.0MB) |
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9:05- 9:30 | Introductory Talk Introduction to Robust Reading ProblemOrganizers |
9:30-10:30 |
Text Reading in the Wild - How to make it useful? Lukáš Neumann & Prof. Jiří Matas (Czech Technical University in Prague) Slide PDF (5.3MB) |
10:30-11:00 | Morning Break |
11:00-12:30 | Oral Session 1 |
12:30-14:00 | Lunch |
14:00-15:30 | Oral Session 2 |
15:30-16:00 | Afternoon Break |
16:00-17:00 |
PhotoOCR: Reading Text in Uncontrolled Conditions Dr. Alessandro Bissacco (Google Inc.) |
17:00-17:25 | Panel Discussion
Slide PDF (1.3MB) |
17:25-17:30 | Closing |
Oral Session 1 (11:00-12:30)
O1-1 11:00-11:20 |
Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regions |
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O1-2 11:20-11:40 |
A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method |
O1-3 11:40-12:00 |
Robust Text Segmentation in Low Quality Images via Adaptive Stroke Width Estimation and Stroke based Superpixel Grouping |
O1-4 12:00-12:20 |
Efficient Character Skew Rectification in Scene Text Images |
Oral Session 2 (14:00-15:30)
O2-1 14:00-14:20 |
Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based Learning |
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O2-2 14:20-14:40 |
Scene Text Recognition: No Country for Old Men? |
O2-3 14:40-15:00 |
A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition |
O2-4 15:00-15:20 |
Perspective Scene Text Recognition with Feature Compression and Ranking |