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Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.

, , and . CVPR Workshops, page 4148-4149. IEEE, (2023)

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Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks., , , and . IEEE Trans. Emerg. Top. Comput., 12 (1): 35-47 (January 2024)Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures., , and . CoRR, (2021)RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning., , , , and . ICRA, page 7492-7498. IEEE, (2022)Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives., , , , and . DATE, page 902-907. IEEE, (2021)AcouSkin: Full Surface Contact localization Using Acoustic Waves., , , , , , , and . IROS, page 10821-10828. (2023)Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures., , and . ICRA, page 6504-6510. IEEE, (2022)Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation., , , and . CoRR, (2023)Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics., and . CoRR, (2022)Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics., and . ICRA, page 6021-6027. IEEE, (2023)Lightning Talk: A Perspective on Neuromorphic Computing., , and . DAC, page 1-2. IEEE, (2023)