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Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning., , , and . IEEE Trans. Image Process., (2023)Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks., , , , , , , , and . CoRR, (2018)Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks., , , , , , and . CoRR, (2019)Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks., , , , and . Patterns, 2 (10): 100350 (2021)Reconstruction of natural visual scenes from neural spikes with deep neural networks., , , , , , , and . Neural Networks, (2020)1000x Faster Camera and Machine Vision with Ordinary Devices., , , , , , , , , and 6 other author(s). CoRR, (2022)Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera., , , , and . AAAI, page 637-645. AAAI Press, (2024)High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras., , , , , and . CVPR, page 6358-6367. Computer Vision Foundation / IEEE, (2021)Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views., , , , and . CoRR, (2023)SpikeCV: Open a Continuous Computer Vision Era., , , , , , , and . CoRR, (2023)