Danut Ovidiu Pop

According to our database, Danut Ovidiu Pop authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Pedestrian Recognition Using Cross-Modality Learning in Convolutional Neural Networks.

Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair

IEEE Intell. Transp. Syst. Mag., 2021

Accelerate High Resolution Image Pedestrian Detection With Non-Pedestrian Area Estimation.

Haodi Zhang, Danut Ovidiu Pop, Alexandrina Rogozan, Abdelaziz Bensrhair

IEEE Access, 2021

2019

Multi-Task Cross-Modality Deep Learning for Pedestrian Risk Estimation. (Apprentissage profond multi-tâches inter-modalités pour l'estimation des risques pour les piétons défendu).

Danut Ovidiu Pop

PhD thesis, 2019

Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction.

Danut Ovidiu Pop, Alexandrina Rogozan, Clément Chatelain, Fawzi Nashashibi, Abdelaziz Bensrhair

IEEE Access, 2019

Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning.

Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017

Incremental Cross-Modality deep learning for pedestrian recognition.

Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Pedestrian recognition through different cross-modality deep learning methods.

Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair

Proceedings of the 2017 IEEE International Conference on Vehicular Electronics and Safety, 2017

Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks.

Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017