Lingtong Kong

Orcid: 0009-0003-7021-5314

According to our database1, Lingtong Kong authored at least 18 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Neuromorphic Circuit of Classical and Operant Conditioning Based on Tunable Neural Circuitry Motifs.
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2024

Operant Conditioning Neuromorphic Circuit With Addictiveness and Time Memory for Automatic Learning.
IEEE Trans. Biomed. Circuits Syst., October, 2024

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation.
IEEE Robotics Autom. Lett., January, 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.
CoRR, 2024

Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Dynamic Frame Interpolation in Wavelet Domain.
IEEE Trans. Image Process., 2023

2022
Progressive Motion Context Refine Network for Efficient Video Frame Interpolation.
IEEE Signal Process. Lett., 2022

ATCA: An ARC Trajectory Based Model with Curvature Attention for Video Frame Interpolation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Homography Estimation Network Based on Dense Correspondence.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Designing and Searching for Lightweight Monocular Depth Network.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Unsupervised Motion Representation Enhanced Network for Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Fdflownet: Fast Optical Flow Estimation Using A Deep Lightweight Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Unsupervised Learning Optical Flow by Robust Reconstruction and Edge-Aware Smoothing.
Aust. J. Intell. Inf. Process. Syst., 2019


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