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Zhaofei Yu

63 papers · 2021–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (80) πŸ”¬ Deep Specialist (23) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (46) πŸ† Keyword Champion (7) πŸ—ƒοΈ Keyword Collector (182) ⚑ Prolific Year (11) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (61)

Conferences

NIPS (13) AAAI (12) CVPR (12) ICLR (8) ICML (8) ICCV (4) IJCAI (4) ECCV (2)

Top co-authors

Tiejun Huang (48) Jianhao Ding (14) Zecheng Hao (12) Tong Bu (12) Jiyuan Zhang (11) Wei Fang (10) Ruiqin Xiong (9) Yonghong Tian (9) Yajing Zheng (8) Shiyan Chen (8)

Research topics

Models (1) Core AI (1)

Keywords

spiking neural network (20) spike camera (19) image reconstruction (9) neuromorphic computing (7) image restoration (6) self-supervised learning (5) image classification (5) energy efficiency (5) high-speed imaging (4) motion estimation (4) optical flow (3) membrane potential (3) optical flow estimation (3) temporal learning (3) spiking camera (3) motion deblurring (3) ann-snn conversion (3) neuromorphic hardware (2) adversarial robustness (2) motion blur (2)

Papers

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