Zhaofei Yu

23

Papers

118

Total Citations

Papers (23)

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework

Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations

Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios

One Forward is Enough for Neural Network Training via Likelihood Ratio Method

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Intensity-Robust Autofocus for Spike Camera

TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer

Differential Coding for Training-Free ANN-to-SNN Conversion

USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting

Rethinking High-speed Image Reconstruction Framework with Spike Camera

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition

Self-Supervised Learning for Color Spike Camera Reconstruction

Enhancing Adversarial Robustness in SNNs with Sparse Gradients

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications

SpikeDiff: Zero-shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-millisecond Spike Streams

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks

Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment

Robust Stable Spiking Neural Networks

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks