Tiejun Huang
117 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (10)
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Interdisciplinary Bridge
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Conference Polyglot
(10)
πΊοΈ
Taxonomy Completionist
(11)
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Conference Loyalist
(23)
π₯
Mega-Team
(53)
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Grand Slam
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Triple Crown
π¬
Deep Specialist
(28)
π€
Dynamic Duo
(46)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(421)
β
The Questioner
π
Century Club
(112)
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Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(11)
β‘
Prolific Year
(9)
Conferences
CVPR (30)
AAAI (23)
NIPS (23)
ICCV (10)
ICLR (8)
ICML (8)
ECCV (6)
IJCAI (6)
WACV (2)
MICCAI (1)
Top co-authors
Research topics
Keywords
spike camera
(28)
spiking neural network
(17)
image reconstruction
(15)
image restoration
(10)
self-supervised learning
(8)
neuromorphic computing
(7)
spiking camera
(7)
motion estimation
(7)
motion blur
(6)
optical flow
(6)
neuromorphic vision
(5)
image processing
(5)
membrane potential
(4)
temporal learning
(4)
event-based vision
(4)
semantic segmentation
(4)
high dynamic range
(4)
optical flow estimation
(4)
video reconstruction
(4)
high-speed imaging
(4)
Papers
Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams
AAAI 2026
Spike Stream Memory Transfer for Dynamic Scene Reconstruction
AAAI 2026
Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting
AAAI 2026
Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
AAAI 2026
Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion
AAAI 2026
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
AAAI 2025
Rethinking High-speed Image Reconstruction Framework with Spike Camera
AAAI 2025
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera
AAAI 2025
MLVU: Benchmarking Multi-task Long Video Understanding
CVPR 2025
Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection
CVPR 2025
Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi-Scale State Space Models
WACV 2025
ISP2HRNet: Learning to Reconstruct High Resolution Image from Irregularly Sampled Pixels via Hierarchical Gradient Learning
ICCV 2025
SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition
ICCV 2025
OmniGen: Unified Image Generation
CVPR 2025
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
CVPR 2025
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
CVPR 2025
Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering
CVPR 2025
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
ICML 2025
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos
IJCAI 2025
Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
Self-Supervised Learning for Color Spike Camera Reconstruction
CVPR 2025
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
ICML 2025
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Modelβs Parameter-Efficient Fine-Tuning
ICML 2025
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
CVPR 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
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
ICLR 2024
Online Stabilization of Spiking Neural Networks
ICLR 2024
Uni3D: Exploring Unified 3D Representation at Scale
ICLR 2024
Emu: Generative Pretraining in Multimodality
ICLR 2024
Region-Native Visual Tokenization
ECCV 2024
Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams
ECCV 2024
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings
CVPR 2024
Generative Multimodal Models are In-Context Learners
CVPR 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
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
NIPS 2024
Learning from Pattern Completion: Self-supervised Controllable Generation
NIPS 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
NIPS 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
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
NIPS 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 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
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
MICCAI 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
Joint Demosaicing and Denoising for Spike Camera
AAAI 2024
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
AAAI 2024
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms
AAAI 2023
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics
NIPS 2023
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
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
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera
AAAI 2023
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion
AAAI 2023
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera
AAAI 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
CVPR 2023
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
CVPR 2023
1000 FPS HDR Video With a Spike-RGB Hybrid Camera
CVPR 2023
SegGPT: Towards Segmenting Everything in Context
ICCV 2023
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario
ICCV 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
ICLR 2023
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
ICML 2023
Retinomorphic Object Detection in Asynchronous Visual Streams
AAAI 2022
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
AAAI 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
Temporal Effective Batch Normalization in Spiking Neural Networks
NIPS 2022
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells
NIPS 2022
Spike Transformer: Monocular Depth Estimation for Spiking Camera
ECCV 2022
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
ICLR 2022
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
CVPR 2022
Learning Optical Flow from Continuous Spike Streams
NIPS 2022
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
NIPS 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
NIPS 2022
Training Spiking Neural Networks with Event-driven Backpropagation
NIPS 2022
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
ICML 2022
Optical Flow Estimation for Spiking Camera
CVPR 2022
Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling
CVPR 2022
2D Amodal Instance Segmentation Guided by 3D Shape Prior
ECCV 2022
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
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras
CVPR 2021
Super Resolve Dynamic Scene From Continuous Spike Streams
ICCV 2021
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras
ICCV 2021
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks
ICCV 2021
Deep Residual Learning in Spiking Neural Networks
NIPS 2021
Noisy Adaptation Generates LΓ©vy Flights in Attractor Neural Networks
NIPS 2021
Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream
CVPR 2021
Learning Individually Inferred Communication for Multi-Agent Cooperation
NIPS 2020
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification
ECCV 2020
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
CVPR 2020
Retina-Like Visual Image Reconstruction via Spiking Neural Model
CVPR 2020
Neuromorphic Camera Guided High Dynamic Range Imaging
CVPR 2020
Graph Convolutional Reinforcement Learning
ICLR 2020
Learning Open Set Network with Discriminative Reciprocal Points
ECCV 2020
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
NIPS 2020
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition
WACV 2020
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
AAAI 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
ICCV 2019
Bi-Directional Cascade Network for Perceptual Edge Detection
CVPR 2019
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently
NIPS 2019
Depth-Aware Stereo Video Retargeting
CVPR 2018
Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles
ICCV 2017
Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network
ICCV 2017
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes
IJCAI 2016
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification
CVPR 2016
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles
CVPR 2016
Hamming Compatible Quantization for Hashing
IJCAI 2015