Ali Safa

Orcid: 0000-0001-5768-8633

According to our database1, Ali Safa authored at least 24 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
STDP-Driven Development of Attention-Based People Detection in Spiking Neural Networks.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Continual Learning in Bio-plausible Spiking Neural Networks with Hebbian and Spike Timing Dependent Plasticity: A Survey and Perspective.
CoRR, 2024

Resource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation.
CoRR, 2024

Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Resource-Efficient Gesture Recognition Using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

FMCW Radar Sensing for Indoor Drones Using Learned Representations.
CoRR, 2023

A Fingertip-Mimicking 12×16 200μm-Resolution e-skin Taxel Readout Chip with per-Taxel Spiking Readout and Embedded Receptive Field Processing.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Exploring Information-Theoretic Criteria to Accelerate the Tuning of Neuromorphic Level-Crossing ADCs.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Active Inference in Hebbian Learning Networks.
Proceedings of the Active Inference - 4th International Workshop, 2023

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach.
IEEE Robotics Autom. Lett., 2022

Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning.
IEEE Micro, 2022

Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes.
CoRR, 2022

Continuously Learning to Detect People on the Fly: A Bio-inspired Visual System for Drones.
CoRR, 2022

Learning to Encode Vision on the Fly in Unknown Environments: A Continual Learning SLAM Approach for Drones.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity.
Proceedings of the International Joint Conference on Neural Networks, 2022

Exploring Cross-fusion and Curriculum Learning for Multi-modal Human Detection on Drones.
Proceedings of the DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17, 2022

Power-Efficient and Accurate Texture Sensing Using Spiking Readouts for High-Density e-Skins.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

ConvSNN: A surrogate gradient spiking neural framework for radar gesture recognition.
Softw. Impacts, 2021

Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision.
CoRR, 2021


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