Lusine Abrahamyan

Orcid: 0000-0002-3232-3029

According to our database1, Lusine Abrahamyan authored at least 8 papers between 2019 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
Learned Gradient Compression for Distributed Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
BMC Medical Informatics Decis. Mak., 2022

Entropy-Based Feature Extraction for Real-Time Semantic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Gradient Variance Loss for Structure-Enhanced Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Bias Loss for Mobile Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Autoencoder-Based Gradient Compression for Distributed Training.
Proceedings of the 29th European Signal Processing Conference, 2021

2019
Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †.
Sensors, 2019

Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians.
Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019


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