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ORCIDMohamed Mhiri 0002
Person information
- affiliation: University of Quebec, Montreal, Canada
- affiliation (former): University of Sousse, Tunisia
Other persons with the same name
- Mohamed Mhiri 0001 (aka: Mohamed Ben Ahmed Mhiri) — Laboratory MIRACL, The Higher Institute of Computer Science and Multimedia, Sfax, Tunisia
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2020 – today
- 2023
[j4]Mohamed Mhiri, Mohammed Hamdan, Mohamed Cheriet:
Handwriting word spotting in the space of difference between representations using vision transformers. Pattern Recognit. Lett. 174: 39-45 (2023)- 2020
- [c8]Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar:
A Low Latency ASR-Free End to End Spoken Language Understanding System. INTERSPEECH 2020: 1947-1951 - [i2]Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar:
A low latency ASR-free end to end spoken language understanding system. CoRR abs/2011.04884 (2020)
2010 – 2019
- 2019
- [j3]Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet:
Word spotting and recognition via a joint deep embedding of image and text. Pattern Recognit. 88: 312-320 (2019) - 2018
- [j2]Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet:
Hierarchical representation learning using spherical k-means for segmentation-free word spotting. Pattern Recognit. Lett. 101: 52-59 (2018) - [j1]Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet:
Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words. Pattern Recognit. Lett. 111: 87-93 (2018) - 2017
- [c7]Sherif Abuelwafa, Mohamed Mhiri, Rachid Hedjam, Sara Zhalehpour, Andrew Piper, Chad Wellmon, Mohamed Cheriet:
Feature Learning for Footnote-Based Document Image Classification. ICIAR 2017: 643-650 - [c6]Mohamed Mhiri, Mohamed Cheriet, Christian Desrosiers:
Query-by-example word spotting using multiscale features and classification in the space of representation differences. ICIP 2017: 1112-1116 - [c5]Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet:
Footnote-based document image classification using 1D convolutional neural networks and histograms. IPTA 2017: 1-5 - 2015
- [i1]Mohamed Ali Mahjoub, Mohamed Mhiri:
Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks. CoRR abs/1501.05617 (2015) - 2014
- [c4]Maroua Mehri, Van Cuong Kieu, Mohamed Mhiri, Pierre Héroux, Petra Gomez-Krämer, Mohamed Ali Mahjoub, Rémy Mullot:
Évaluation de la robustesse des descripteurs de texture pour la segmentation des images de documents anciens. CORIA-CIFED 2014: 25-40 - [c3]Maroua Mehri, Mohamed Mhiri, Pierre Héroux, Petra Gomez-Krämer, Mohamed Ali Mahjoub, Rémy Mullot:
"Étude comparative de trois ensembles de descripteurs de texture pour la segmentation de documents anciens". CORIA-CIFED 2014: 41-56 - [c2]Maroua Mehri
, Van Cuong Kieu, Mohamed Mhiri, Pierre Héroux, Petra Gomez-Krämer, Mohamed Ali Mahjoub, Rémy Mullot:
Robustness Assessment of Texture Features for the Segmentation of Ancient Documents. Document Analysis Systems 2014: 293-297 - [c1]Maroua Mehri, Mohamed Mhiri, Pierre Héroux, Petra Gomez-Krämer, Mohamed Ali Mahjoub, Rémy Mullot:
Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents. ICPR 2014: 2885-2890
Coauthor Index
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