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Akram Bayat
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2020 – today
- 2023
- [i1]Amir Ghasemi, Fatemeh Mottaghian, Akram Bayat:
Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans. CoRR abs/2301.09667 (2023) - 2021
- [c6]Akram Bayat, Connor Anderson, Pratik Shah:
Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images. Medical Imaging: Image Processing 2021
2010 – 2019
- 2018
- [c5]Akram Bayat, Do Hyong Koh, Anubhaw Kumar Nand, Marta Pereira, Marc Pomplun:
Scene Grammar in Human and Machine Recognition of Objects and Scenes. CVPR Workshops 2018: 1992-1999 - 2017
- [c4]Akram Bayat, Amir Hossein Bayat, Marc Pomplun:
Enhancing User Identification During Reading by Applying Content-Based Text Analysis to Eye-Movement Patterns. AHFE (7) 2017: 478-484 - [c3]Akram Bayat, Marc Pomplun:
Biometric Identification Through Eye-Movement Patterns. AHFE (7) 2017: 583-594 - [c2]Akram Bayat, Marc Pomplun:
Deriving high-level scene descriptions from deep scene CNN features. IPTA 2017: 1-6 - 2014
- [c1]Akram Bayat, Marc Pomplun, Duc A. Tran:
A Study on Human Activity Recognition Using Accelerometer Data from Smartphones. FNC/MobiSPC 2014: 450-457
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last updated on 2024-04-25 05:36 CEST by the dblp team
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