Zhaofei Yu

38

Papers

118

Total Citations

Papers (38)

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

TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer

Intensity-Robust Autofocus for Spike Camera

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

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

Enhancing Adversarial Robustness in SNNs with Sparse Gradients

High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras

Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks

Super Resolve Dynamic Scene From Continuous Spike Streams

Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

Spike Transformer: Monocular Depth Estimation for Spiking Camera

Self-Supervised Learning for Color Spike Camera Reconstruction

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

Deep Residual Learning in Spiking Neural Networks

Learning Optical Flow from Continuous Spike Streams

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training

Training Spiking Neural Networks with Event-driven Backpropagation

Temporal Effective Batch Normalization in Spiking Neural Networks

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks

Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams