Lingtong Kong

According to our database, Lingtong Kong authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation.

Jinfeng Liu, Lingtong Kong, Jie Yang, Wei Liu

IEEE Robotics Autom. Lett., January, 2024

2023

MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation.

Lingtong Kong, Jie Yang

IEEE Trans. Circuits Syst. Video Technol., February, 2023

Dynamic Frame Interpolation in Wavelet Domain.

Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Ying Tai, Chengjie Wang, Jie Yang

IEEE Trans. Image Process., 2023

Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation.

Jinfeng Liu, Lingtong Kong, Jie Yang, Wei Liu

CoRR, 2023

2022

Progressive Motion Context Refine Network for Efficient Video Frame Interpolation.

Lingtong Kong, Jinfeng Liu, Jie Yang

IEEE Signal Process. Lett., 2022

ATCA: An ARC Trajectory Based Model with Curvature Attention for Video Frame Interpolation.

Jinfeng Liu, Lingtong Kong, Jie Yang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation.

Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Xiaoming Huang, Ying Tai, Chengjie Wang, Jie Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation.

Lingtong Kong, Chunhua Shen, Jie Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Homography Estimation Network Based on Dense Correspondence.

Xiaohang Yang, Lingtong Kong, Ziyun Liang, Jie Yang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Designing and Searching for Lightweight Monocular Depth Network.

Jinfeng Liu, Lingtong Kong, Jie Yang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Unsupervised Motion Representation Enhanced Network for Action Recognition.

Xiaohang Yang, Lingtong Kong, Jie Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow.

Lingtong Kong, Xiaohang Yang, Jie Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Fdflownet: Fast Optical Flow Estimation Using A Deep Lightweight Network.

Lingtong Kong, Jie Yang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Unsupervised Learning Optical Flow by Robust Reconstruction and Edge-Aware Smoothing.

Lingtong Kong, Jie Yang

Aust. J. Intell. Inf. Process. Syst., 2019