Tiejun Huang
Professor
Leads research on visual information processing and neuromorphic vision, including the spike camera and spiking neural networks.
Tiejun Huang's lab at Peking works on computational imaging & photography and accelerators, chips & architecture. 155 papers since 2023, 107 at top venues, mostly CVPR and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 40/ year
- at T1 venues
- 69%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 26 papers2026 · T1 21 · collecting
- 40 papers2025 · T1 28
- 54 papers2024 · T1 36
- 35 papers2023 · T1 22
T1 venuesOtherVenues: CVPR, AAAI, NeurIPS, TPAMI, ICLR
Research focuspaper titles that use each topic's words
- camera32 papers
- Computational imaging & photography9 papers
- Accelerators, chips & architecture2 papers
- visual information1 paper
- neuromorphic vision0 papers
Paper list
From DBLP.
202626 papers
- CVPR (T1)3D Gaussian Splatting from Unposed Spike Stream (opens in a new tab)
- AAAI (T1)Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting? (opens in a new tab)
- PatternsDendritic nonlinearities mitigate communication costs (opens in a new tab)
- TIP (T1)Dynamic Scene Reconstruction for Spike Camera via Bayesian Imaging and Correlation Modeling (opens in a new tab)
- AAAI (T1)Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion (opens in a new tab)
- CVPR (T1)HFR and HDR Video from Multi-Attenuated Spikes Using a Rapidly Rotating SpokeND Filter (opens in a new tab)
- IEEE Trans. Artif. Intell.Inner-Probe: Discovering Copyright-Related Data Generation in LLM Architecture (opens in a new tab)
- TPAMI (T1)Learn to Enhance Sparse Spike Streams (opens in a new tab)
- ECCV (T1)Learn to See the Unseen in Low-Light Spike Streams (opens in a new tab)
- Trans. Mach. Learn. Res.MIRA: Multi-view Information Retrieval with Adaptive Routing for Test-time Long-video Comprehension (opens in a new tab)
- CVPR (T1)OmniGen2: Towards Instruction-Aligned Multimodal Generation (opens in a new tab)
- ICLR (T1)PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks (opens in a new tab)
202540 papers
- IJCV (T1)A Norm Regularization Training Strategy for Robust Image Quality Assessment Models (opens in a new tab)
- ICASSP (T1)A Quality-Aware Sampling Framework for Efficient 3D Point Cloud Transmission (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Assisting Training of Deep Spiking Neural Networks With Parameter Initialization (opens in a new tab)
- CVPR (T1)Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection (opens in a new tab)
- TIP (T1)Color Spike Camera Reconstruction via Long Short-Term Temporal Aggregation of Spike Signals (opens in a new tab)
- Neural NetworksCorrigendum to "Implementing feature binding through dendritic networks of a single neuron" [Neural Networks(2025) 107555] (opens in a new tab)
- ICML (T1)Differential Coding for Training-Free ANN-to-SNN Conversion (opens in a new tab)
- IEEE Trans. Computational ImagingDynamic Scene Reconstruction for Color Spike Camera via Zero-Shot Learning (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Enhancing NR-IQA Model Robustness Through Simple Image Compression Techniques (opens in a new tab)
- ICML (T1)Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning (opens in a new tab)
- TPAMI (T1)Hard-Aware Instance Adaptive Self-Training for Unsupervised Cross-Domain Semantic Segmentation (opens in a new tab)
202454 papers
- TPAMI (T1)A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting (opens in a new tab)
- ICLR (T1)A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model (opens in a new tab)
- Nat. Comput. Sci.An integrative data-driven model simulating C. elegans brain, body and environment interactions (opens in a new tab)
- CVPR (T1)Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations (opens in a new tab)
- NeurIPS (T1)Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation (opens in a new tab)
- IEEE Trans. Cogn. Dev. Syst.Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition (opens in a new tab)
- BIBME/I Balanced Adaptive Sequential Neural Posterior Estimation for Inferring the Connection Weights in Mouse V1 Model (opens in a new tab)
- ICLR (T1)Emu: Generative Pretraining in Multimodality (opens in a new tab)
- ICML (T1)Enhancing Adversarial Robustness in SNNs with Sparse Gradients (opens in a new tab)
- AAAI (T1)Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms (opens in a new tab)
- Image Vis. Comput.EVA-02: A visual representation for neon genesis (opens in a new tab)
- AAAI (T1)Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images (opens in a new tab)
202335 papers
- CVPR (T1)1000 FPS HDR Video with a Spike-RGB Hybrid Camera (opens in a new tab)
- IEEE Trans. Multim.A Residual Learning Approach to Deblur and Generate High Frame Rate Video With an Event Camera (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.AMSA: Adaptive Multimodal Learning for Sentiment Analysis (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Asynchronous Spatiotemporal Spike Metric for Event Cameras (opens in a new tab)
- ICLR (T1)Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes (opens in a new tab)
- TPAMI (T1)Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity (opens in a new tab)
- TAFFCDriver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework (opens in a new tab)
- NeurIPS (T1)Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams (opens in a new tab)
- ICML (T1)Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning (opens in a new tab)
- CVPR (T1)EVA: Exploring the Limits of Masked Visual Representation Learning at Scale (opens in a new tab)
- NeurIPS (T1)Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks (opens in a new tab)
- Neural ComputationHeuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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