Fahimeh Farahnakian

A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection (2021)

International Conference on Machine Learning and Applications

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)

Remote Sensing

Fahimeh Farahnakian, Jukka Heikkonen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)

IEEE International Conference on Multimedia and Expo Workshops, IEEE International Conference on Multimedia and Expo Workshops

Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles (2020)

International Conference on Signal Processing and Communication Systems (ICSPCS)

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks (2020)

International Conference on Information Fusion

Farahnakian F, Heikkonen J

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment (2019)

International Conference on Information Fusion

Farahnakian Fahimeh, Poikkonen Jussi, Laurinen Markus, Markis Dimitrios, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

IEEE Transactions on Cloud Computing

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Comparative Analysis of Image Fusion Methods in Marine Environment (2019)

IEEE International Symposium on Robotic and Sensors Environments

Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment (2019)

Intelligent Transportation Systems Conference

Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)

IEEE International Conference on Intelligent Transportation Systems, Proceedings of the IEEE international conference on intelligent transportation systems

Mohammad-Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection (2021)

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles (2020)

Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks (2020)

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment (2019)

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

Comparative Analysis of Image Fusion Methods in Marine Environment (2019)

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment (2019)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)