Lin Zhu
31 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (65) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Champion
(3)
π§
Keyword Pioneer
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Trend Setter
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(145)
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Computer Vision
(24)
Deep Learning
(21)
Machine Learning
(17)
Processing
(15)
Analysis
(11)
Architectures
(9)
Learning Types Β· Deep Learning
(9)
Artificial Intelligence
(8)
Core AI Β· Artificial Intelligence
(8)
Application Areas
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Core AI Β· Computer Vision
(5)
Models
(5)
Domain-Specific
(4)
Keywords
event camera
(12)
spike camera
(5)
spiking neural network
(4)
image reconstruction
(4)
image deblurring
(4)
neural radiance field
(3)
image restoration
(3)
neural network
(3)
novel view synthesis
(3)
defocus blur
(3)
neuromorphic vision
(3)
video reconstruction
(2)
multi-task learning
(2)
benchmark dataset
(2)
diffusion model
(2)
out-of-distribution generalization
(2)
image denoising
(2)
self-supervised learning
(2)
multimodal learning
(2)
object detection
(2)
Papers
Event Structural Valley: A Unified Theoretical and Practical Framework for Event Camera Autofocus
CVPR 2026
Seeing Through Blur: Tackling Defocus in Spike-Based Imaging
CVPR 2026
Seeing through Light and Darkness: Sensor-Physics Grounded Deblurring HDR NeRF from Single-Exposure Images and Events
CVPR 2026
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
CVPR 2025
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching
ICCV 2025
Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation
ICCV 2025
EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams
ICML 2025
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
ICLR 2025
Noise-Modeled Diffusion Models for Low-Light Spike Image Restoration
ICCV 2025
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
CVPR 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
CVPR 2025
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
CVPR 2025
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
ICML 2024
Event-based Visible and Infrared Fusion via Multi-task Collaboration
CVPR 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
CVPR 2024
Finding Visual Saliency in Continuous Spike Stream
AAAI 2024
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
AAAI 2024
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
CVPR 2024
Seeing Motion at Nighttime with an Event Camera
CVPR 2024
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
CVPR 2024
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
ECCV 2024
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
AAAI 2023
Certifiable Out-of-Distribution Generalization
AAAI 2023
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images
ICCV 2023
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
CVPR 2022
Retinomorphic Object Detection in Asynchronous Visual Streams
AAAI 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity
CVPR 2022
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras
ICCV 2021
Retina-Like Visual Image Reconstruction via Spiking Neural Model
CVPR 2020
A Domain Generalization Perspective on Listwise Context Modeling
AAAI 2019
HDI-Forest: Highest Density Interval Regression Forest
IJCAI 2019