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Tiejun Huang

Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images
AMSA: Adaptive Multimodal Learning for Sentiment Analysis
Driver Emotion Recognition with a Hybrid Attentional Multimodal Fusion Framework
A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels
A computational framework linking synaptic adaptation to circuit behaviors in the early visual system
Uncertainty Guided Depth Fusion for Spike Camera
A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence
Optical Flow Estimation for Spiking Camera
Modeling The Detection Capability Of High-Speed Spiking Cameras
Retina Gap Junction Networks Facilitate Blind Denoising in the Visual Hierarchy
SpikingSIM: A Bio-Inspired Spiking Simulator
1000× Faster Camera and Machine Vision with Ordinary Devices
A Robust Visual Sampling Model Inspired by Receptive Field
GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal Processing
Improving Traffic Flow Prediction Via Learning the Periodic Features with Time Information
U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms
Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation
Using Hardware Ray Transforms to Accelerate Ray/Primitive Intersections for Long, Thin Primitive Types

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