Elnaz Jahani Heravi

Orcid: 0000-0003-3641-8225

According to our database1, Elnaz Jahani Heravi authored at least 25 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2021
PolarNet: Accelerated Deep Open Space Segmentation using Automotive Radar in Polar Domain.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

RAD: Realtime and Accurate 3D Object Detection on Embedded Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Deep Open Space Segmentation using Automotive Radar.
CoRR, 2020

2019
Recognizing Foods using Deep Neural Networks under Domain Shift.
PhD thesis, 2019

A Modified Self-training Method for Adapting Domains in the Task of Food Classification.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018
An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods.
Pattern Recognit. Lett., 2018

2017
A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time.
Int. J. Comput. Vis., 2017

Studying Stability of Different Convolutional Neural Networks Against Additive Noise.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Increasing the Stability of CNNs using a Denoising Layer Regularized by Local Lipschitz Constant in Road Understanding Problems.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

2016
A practical approach for detection and classification of traffic signs using Convolutional Neural Networks.
Robotics Auton. Syst., 2016

Analyzing the Stability of Convolutional Neural Networks against Image Degradation.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Classification of foods by transferring knowledge from ImageNet dataset.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Training a Mentee Network by Transferring Knowledge from a Mentor Network.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Classification of Foods Using Spatial Pyramid Convolutional Neural Network.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain.
CoRR, 2015

Traffic Sign Recognition Using Visual Attributes and Bayesian Network.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2015

A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes.
Proceedings of the VISAPP 2015, 2015

Recognizing Traffic Signs Using a Practical Deep Neural Network.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

A deep convolutional neural network for recognizing foods.
Proceedings of the Eighth International Conference on Machine Vision, 2015

An unsupervised method for summarizing egocentric sport videos.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Toward an optimal convolutional neural network for traffic sign recognition.
Proceedings of the Eighth International Conference on Machine Vision, 2015

A New One Class Classifier Based on Ensemble of Binary Classifiers.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2011
Long Term Trajectory Prediction of Moving Objects Using Gaussian Process.
Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011


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