Lin Zhu

Orcid: 0000-0001-6487-0441

Affiliations:
  • North Automatic Control Technology Institute, Taiyuan, China


According to our database1, Lin Zhu authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.
IEEE Trans. Cybern., March, 2024

Reliable Event Generation With Invertible Conditional Normalizing Flow.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Mirror complementary transformer network for RGB-thermal salient object detection.
IET Comput. Vis., February, 2024

Prompt-Based Learning for Unpaired Image Captioning.
IEEE Trans. Multim., 2024

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream.
IEEE Trans. Circuits Syst. Video Technol., 2023

Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Recurrent Spike-based Image Restoration under General Illumination.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection.
IEEE Trans. Image Process., 2022

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors.
CoRR, 2022

1000x Faster Camera and Machine Vision with Ordinary Devices.
CoRR, 2022

Temporal Up-Sampling for Asynchronous Events.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Learning Stereo Depth Estimation with Bio-Inspired Spike Cameras.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Retinomorphic Object Detection in Asynchronous Visual Streams.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Motion-Aware Structured Matrix Factorization for Foreground Detection in Complex Scenes.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Hybrid Coding of Spatiotemporal Spike Data for a Bio-Inspired Camera.
IEEE Trans. Circuits Syst. Video Technol., 2021

Learning event guided network for salient object detection.
Pattern Recognit. Lett., 2021

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.
CoRR, 2021

Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Retina-Like Visual Image Reconstruction via Spiking Neural Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Retina-Inspired Sampling Method for Visual Texture Reconstruction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals.
Proceedings of the Data Compression Conference, 2019

2018
L<sub>1/2</sub> Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background.
IEEE Signal Process. Lett., 2018


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