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ORCIDHamed H. Aghdam
Person information
- affiliation: University of Rovira i Virgili, Department of Computer Engineering and Mathematics, Tarragona, Spain
Other persons with the same name
- Hamed Habibi 0002
![[0000-0002-7393-6235]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7393-6235")
— Curtin University, School of Civil and Mechanical Engineering, Perth, WA, Australia - Hamed Habibi 0003 — University of Luxembourg, Centre for Security, Reliability, and Trust, Luxembourg
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Books and Theses
- 2018
[b1]Hamed H. Aghdam:
Understanding Road Scenes using Deep Neural Networks. University of Rovira i Virgili, Spain, 2018
Journal Articles
- 2018
- [j4]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods. Pattern Recognit. Lett. 105: 50-58 (2018) - 2017
- [j3]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time. Int. J. Comput. Vis. 122(2): 246-269 (2017) - 2016
- [j2]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A practical approach for detection and classification of traffic signs using Convolutional Neural Networks. Robotics Auton. Syst. 84: 97-112 (2016) - 2013
- [j1]Hamed Habibi Aghdam, Domenec Puig, Agusti Solanas:
A Probabilistic Approach for Breast Boundary Extraction in Mammograms. Comput. Math. Methods Medicine 2013: 408595:1-408595:19 (2013)
Conference and Workshop Papers
- 2021
- [c27]Hamed H. Aghdam, Elnaz Jahani Heravi, Selameab S. Demilew, Robert Laganière:
RAD: Realtime and Accurate 3D Object Detection on Embedded Systems. CVPR Workshops 2021: 2875-2883 - 2020
- [c26]Hamed H. Aghdam, Martin Bouchard, Robert Laganière, Emil M. Petriu, Philip Wort:
A Deep Neural Network for Counting Vessels in Sonar Signals. Canadian AI 2020: 257-269 - [c25]Selameab S. Demilew, Hamed H. Aghdam, Robert Laganière, Emil M. Petriu:
FA3D: Fast and Accurate 3D Object Detection. ISVC (1) 2020: 397-409 - [c24]Wen Wen, Hamed H. Aghdam, Yong Wang, Robert Laganière, Emil M. Petriu:
A Monocular Forward Leading Vehicle Distance Estimation using Mobile Devices. IV 2020: 1504-1509 - 2019
- [c23]Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer:
Active Learning for Deep Detection Neural Networks. ICCV 2019: 3671-3679 - [c22]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. ICCV Workshops 2019: 914-923 - [c21]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
A Modified Self-training Method for Adapting Domains in the Task of Food Classification. VISIGRAPP (5: VISAPP) 2019: 143-154 - 2017
- [c20]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Increasing the Stability of CNNs using a Denoising Layer Regularized by Local Lipschitz Constant in Road Understanding Problems. VISIGRAPP (5: VISAPP) 2017: 218-225 - [c19]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2017: 226-234 - [c18]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Studying Stability of Different Convolutional Neural Networks Against Additive Noise. VISIGRAPP (5: VISAPP) 2017: 362-369 - 2016
- [c17]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of Foods Using Spatial Pyramid Convolutional Neural Network. CCIA 2016: 163-168 - [c16]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability. ECCV Workshops (1) 2016: 178-191 - [c15]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
Training a Mentee Network by Transferring Knowledge from a Mentor Network. ECCV Workshops (3) 2016: 500-507 - [c14]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of foods by transferring knowledge from ImageNet dataset. ICMV 2016: 1034128 - [c13]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Analyzing the Stability of Convolutional Neural Networks against Image Degradation. VISIGRAPP (4: VISAPP) 2016: 370-382 - 2015
- [c12]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A New One Class Classifier Based on Ensemble of Binary Classifiers. CAIP (2) 2015: 242-253 - [c11]Jaume Vergés-Llahí, Hamed Habibi, Fran Casino, Domenec Puig:
GAME-ABLING: Platform of Games for People with Cerebral Palsy. EPS 2015 - [c10]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Toward an optimal convolutional neural network for traffic sign recognition. ICMV 2015: 98750K - [c9]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
An unsupervised method for summarizing egocentric sport videos. ICMV 2015: 98751N - [c8]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
A deep convolutional neural network for recognizing foods. ICMV 2015: 98751D - [c7]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Recognizing Traffic Signs Using a Practical Deep Neural Network. ROBOT (1) 2015: 399-410 - [c6]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes. VISAPP (2) 2015: 87-96 - [c5]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Traffic Sign Recognition Using Visual Attributes and Bayesian Network. VISIGRAPP (Selected Papers) 2015: 295-315 - 2014
- [c4]Hamed Habibi Aghdam, Herdawatie Abdul Kadir, Mohd Rizal Arshad, Munir Zaman:
Localizing Pipe inspection robot using visual odometry. ICCSCE 2014: 245-250 - [c3]Hamed Habibi Aghdam, Domenec Puig, Agusti Solanas:
Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms. ICPR 2014: 3357-3362 - 2009
- [c2]Ali Asghar Pourhaji Kazem, Neda Dadashkhani, Mehdi Kargahi, Hamed Habibi Aghdam:
A Simulated Annealing Approach for Maximizing the Accrued Utility of an Isochronal Soft Real-Time System. ICECS 2009: 191-195 - [c1]Hamed Habibi Aghdam, Saeid Payvar:
Novel Framework for Selecting the Optimal Feature Vector from Large Feature Spaces. ICIAR 2009: 307-316
Informal and Other Publications
- 2019
- [i3]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. CoRR abs/1908.11757 (2019) - [i2]Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López:
Active Learning for Deep Detection Neural Networks. CoRR abs/1911.09168 (2019) - 2015
- [i1]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain. CoRR abs/1511.03042 (2015)
Coauthor Index
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