Zhaofei Yu

Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion AAAI 2026 Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model CVPR 2026 Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams AAAI 2026 Spk2VidNet: A Hierarchical Recurrent Architecture for High-Fidelity Video Reconstruction from Long Spike-Camera Streams CVPR 2026 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing ICML 2025 Differential Coding for Training-Free ANN-to-SNN Conversion ICML 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation ICML 2025 Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025 Rethinking High-speed Image Reconstruction Framework with Spike Camera AAAI 2025 Self-Supervised Learning for Color Spike Camera Reconstruction CVPR 2025 SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos IJCAI 2025 SpikeDiff: Zero-shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-millisecond Spike Streams ICCV 2025 SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition ICCV 2025 TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer ICML 2025 USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting CVPR 2025 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks ICML 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations CVPR 2024 Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NeurIPS 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios CVPR 2024 Intensity-Robust Autofocus for Spike Camera CVPR 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model NeurIPS 2024 One Forward is Enough for Neural Network Training via Likelihood Ratio Method ICLR 2024 Online Stabilization of Spiking Neural Networks ICLR 2024 Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion AAAI 2024 Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes ECCV 2024 Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera AAAI 2024 Robust Stable Spiking Neural Networks ICML 2024 Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment CVPR 2024 SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams NeurIPS 2024 SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks CVPR 2024 Spiking Transformer with Experts Mixture NeurIPS 2024 Super-Resolution Reconstruction from Bayer-Pattern Spike Streams CVPR 2024 Threaten Spiking Neural Networks through Combining Rate and Temporal Information ICLR 2024 Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework ICLR 2024 Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera AAAI 2024 A Unified Framework for Soft Threshold Pruning ICLR 2023 Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes ICLR 2023 Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting CVPR 2023 Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams NeurIPS 2023 Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks NeurIPS 2023 Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms AAAI 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies NeurIPS 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023 Reducing ANN-SNN Conversion Error through Residual Membrane Potential AAAI 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera AAAI 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera NeurIPS 2023 Learning Optical Flow from Continuous Spike Streams NeurIPS 2022 Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks ICLR 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022 Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera IJCAI 2022 SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NeurIPS 2022 Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation AAAI 2022 Spike Transformer: Monocular Depth Estimation for Spiking Camera ECCV 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks ICML 2022 Temporal Effective Batch Normalization in Spiking Neural Networks NeurIPS 2022 Training Spiking Neural Networks with Event-driven Backpropagation NeurIPS 2022 Deep Residual Learning in Spiking Neural Networks NeurIPS 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras CVPR 2021 Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks ICCV 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks IJCAI 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Super Resolve Dynamic Scene From Continuous Spike Streams ICCV 2021