Gang Pan

30

Papers

69

Total Citations

Papers (30)

Generalizable Sleep Staging via Multi-Level Domain Alignment

Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation

BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need

Mind Artist: Creating Artistic Snapshots with Human Thought

EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras

TS-SNN: Temporal Shift Module for Spiking Neural Networks

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree

Towards efficient deep spiking neural networks construction with spiking activity based pruning

Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

Indoor Lighting Estimation Using an Event Camera

DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering

Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation

E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes

Bridging the Gap between Brain and Machine in Interpreting Visual Semantics: Towards Self-adaptive Brain-to-Text Decoding

Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency

EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting

EvSTVSR: Event Guided Space-Time Video Super-Resolution

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation

Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo

Training High Performance Spiking Neural Network by Temporal Model Calibration

Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces

Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN

Online Neural Sequence Detection with Hierarchical Dirichlet Point Process

Constrained Update Projection Approach to Safe Policy Optimization

Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding

Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks