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ORCIDElnaz Jahani Heravi
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2020 – today
- 2021
[c19]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- [c18]Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Elnaz Jahani Heravi, Fahed Al Hassanat, Robert Laganière, Julien Rebut, Waqas Malik:
PolarNet: Accelerated Deep Open Space Segmentation using Automotive Radar in Polar Domain. VEHITS 2021: 413-420 - [i3]Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Elnaz Jahani Heravi, Fahed Al Hassanat, Robert Laganière, Julien Rebut, Waqas Malik:
PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain. CoRR abs/2103.03387 (2021) - 2020
- [i2]Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganière, Julien Rebut, Waqas Malik:
Deep Open Space Segmentation using Automotive Radar. CoRR abs/2004.03449 (2020)
2010 – 2019
- 2019
- [b1]Elnaz Jahani Heravi:
Recognizing Foods using Deep Neural Networks under Domain Shift. University of Rovira i Virgili, Spain, 2019 - [c17]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 - 2018
- [j3]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
- [j2]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) - [c16]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 - [c15]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2017: 226-234 - [c14]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
- [j1]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) - [c13]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of Foods Using Spatial Pyramid Convolutional Neural Network. CCIA 2016: 163-168 - [c12]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 - [c11]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 - [c10]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of foods by transferring knowledge from ImageNet dataset. ICMV 2016: 1034128 - [c9]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
- [c8]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A New One Class Classifier Based on Ensemble of Binary Classifiers. CAIP (2) 2015: 242-253 - [c7]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Toward an optimal convolutional neural network for traffic sign recognition. ICMV 2015: 98750K - [c6]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
An unsupervised method for summarizing egocentric sport videos. ICMV 2015: 98751N - [c5]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
A deep convolutional neural network for recognizing foods. ICMV 2015: 98751D - [c4]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Recognizing Traffic Signs Using a Practical Deep Neural Network. ROBOT (1) 2015: 399-410 - [c3]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 - [c2]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Traffic Sign Recognition Using Visual Attributes and Bayesian Network. VISIGRAPP (Selected Papers) 2015: 295-315 - [i1]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain. CoRR abs/1511.03042 (2015) - 2011
- [c1]Elnaz Jahani Heravi, Sohrab Khanmohammadi:
Long Term Trajectory Prediction of Moving Objects Using Gaussian Process. RVSP 2011: 228-232
Coauthor Index
aka: Hamed Habibi Aghdam
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