Tiejun Huang

3D Gaussian Splatting from Unposed Spike Stream CVPR 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 HFR and HDR Video from Multi-Attenuated Spikes Using a Rapidly Rotating SpokeND Filter CVPR 2026 OmniGen2: Towards Instruction-Aligned Multimodal Generation CVPR 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 Spike Stream Memory Transfer for Dynamic Scene Reconstruction AAAI 2026 Spk2VidNet: A Hierarchical Recurrent Architecture for High-Fidelity Video Reconstruction from Long Spike-Camera Streams CVPR 2026 Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting AAAI 2026 Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection CVPR 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 ISP2HRNet: Learning to Reconstruct High Resolution Image from Irregularly Sampled Pixels via Hierarchical Gradient Learning ICCV 2025 MLVU: Benchmarking Multi-task Long Video Understanding CVPR 2025 Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis AAAI 2025 Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment ICML 2025 OmniGen: Unified Image Generation CVPR 2025 Rethinking High-speed Image Reconstruction Framework with Spike Camera AAAI 2025 SAMPLE: Semantic Alignment through Temporal-Adaptive Multimodal Prompt Learning for Event-Based Open-Vocabulary Action Recognition ICCV 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning ICML 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 SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera AAAI 2025 Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi-Scale State Space Models WACV 2025 Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering 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 You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale CVPR 2025 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 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 Emu: Generative Pretraining in Multimodality ICLR 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios CVPR 2024 Generative Multimodal Models are In-Context Learners CVPR 2024 Intensity-Robust Autofocus for Spike Camera CVPR 2024 Joint Demosaicing and Denoising for Spike Camera AAAI 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NeurIPS 2024 Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams ECCV 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model NeurIPS 2024 Online Stabilization of Spiking Neural Networks ICLR 2024 Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion AAAI 2024 Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera AAAI 2024 Region-Native Visual Tokenization ECCV 2024 Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos NeurIPS 2024 Robust Stable Spiking Neural Networks ICML 2024 SegVol: Universal and Interactive Volumetric Medical Image Segmentation NeurIPS 2024 ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation MICCAI 2024 Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras NeurIPS 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 Super-Resolution Reconstruction from Bayer-Pattern Spike Streams CVPR 2024 Threaten Spiking Neural Networks through Combining Rate and Temporal Information ICLR 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings CVPR 2024 Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera AAAI 2024 Uni3D: Exploring Unified 3D Representation at Scale ICLR 2024 1000 FPS HDR Video With a Spike-RGB Hybrid Camera CVPR 2023 Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes ICLR 2023 Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams NeurIPS 2023 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023 Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks NeurIPS 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023 Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms AAAI 2023 Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera AAAI 2023 MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario ICCV 2023 Reducing ANN-SNN Conversion Error through Residual Membrane Potential AAAI 2023 SegGPT: Towards Segmenting Everything in Context ICCV 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera AAAI 2023 Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics NeurIPS 2023 SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion AAAI 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera NeurIPS 2023 2D Amodal Instance Segmentation Guided by 3D Shape Prior ECCV 2022 Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks NeurIPS 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022 Learning Optical Flow from Continuous Spike Streams NeurIPS 2022 Optical Flow Estimation for Spiking Camera CVPR 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 Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells NeurIPS 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 Retinomorphic Object Detection in Asynchronous Visual Streams 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 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras ICCV 2021 Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NeurIPS 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 Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream CVPR 2021 Super Resolve Dynamic Scene From Continuous Spike Streams ICCV 2021 An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification ECCV 2020 Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging CVPR 2020 Learning Individually Inferred Communication for Multi-Agent Cooperation NeurIPS 2020 Learning Open Set Network with Discriminative Reciprocal Points ECCV 2020 Neuromorphic Camera Guided High Dynamic Range Imaging CVPR 2020 Retina-Like Visual Image Reconstruction via Spiking Neural Model CVPR 2020 UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging NeurIPS 2020 Bi-Directional Cascade Network for Perceptual Edge Detection CVPR 2019 Multi-Scale 3D Convolution Network for Video Based Person Re-Identification AAAI 2019 Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NeurIPS 2019 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 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 Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles CVPR 2016 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 Hamming Compatible Quantization for Hashing IJCAI 2015