Lin Zhu

21

Papers

231

Total Citations

Papers (21)

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Seeing Motion at Nighttime with an Event Camera

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction

Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising

Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising

Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network

NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary

E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images

Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation

Noise-Modeled Diffusion Models for Low-Light Spike Image Restoration

EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching

Finding Visual Saliency in Continuous Spike Stream

Event-based Visible and Infrared Fusion via Multi-task Collaboration

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Retina-Like Visual Image Reconstruction via Spiking Neural Model

Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity