Ning Lv

Orcid: 0000-0003-3488-4548

Affiliations:
  • Harbin Engineering University, School of Information and Communication Engineering, Key Laboratory of Advanced Marine Communication and Information Technology, Harbin, China


According to our database1, Ning Lv authored at least 28 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Learning feature contexts by transformer and CNN hybrid deep network for weakly supervised person search.
Comput. Vis. Image Underst., February, 2024

InvFlow: Involution and multi-scale interaction for unsupervised learning of optical flow.
Pattern Recognit., January, 2024

2023
Global-aware and local-aware enhancement network for person search.
Comput. Vis. Image Underst., November, 2023

Self-supervised learning of scene flow with occlusion handling through feature masking.
Pattern Recognit., July, 2023

Engineering Vehicles Detection for Warehouse Surveillance System Based on Modified YOLOv4-Tiny.
Neural Process. Lett., June, 2023

Deformable Cross Attention for Learning Optical Flow.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
3D Point Convolutional Network for Dense Scene Flow Estimation.
Neural Process. Lett., 2022

Unsupervised optical flow estimation method based on transformer and occlusion compensation.
Neural Comput. Appl., 2022

FCDNet: A Change Detection Network Based on Full-Scale Skip Connections and Coordinate Attention.
IEEE Geosci. Remote. Sens. Lett., 2022

Efficient person search via learning-to-normalize deep representation.
Neurocomputing, 2022

Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Transformer-Based Person Search Model with Symmetric Online Instance Matching.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Optical flow and scene flow estimation: A survey.
Pattern Recognit., 2021

Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution.
Neural Process. Lett., 2021

Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation.
Neural Process. Lett., 2021

Stable and Effective One-Step Method for Person Search.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
An Object Context Integrated Network for Joint Learning of Depth and Optical Flow.
IEEE Trans. Image Process., 2020

Optical Flow Estimation Using Dual Self-Attention Pyramid Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Attention-Based Generative Adversarial Network for Semi-supervised Image Classification.
Neural Process. Lett., 2020

Dual-Path Part-Level Method for Visible-Infrared Person Re-identification.
Neural Process. Lett., 2020

Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Optical flow estimation using channel attention mechanism and dilated convolutional neural networks.
Neurocomputing, 2019

Learning Optical Flow Using Deep Dilated Residual Networks.
IEEE Access, 2019

SKFlow: Optical Flow Estimation Using Selective Kernel Networks.
IEEE Access, 2019

Optical Flow Estimation Using Spatial-Channel Combinational Attention-Based Pyramid Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Ad-net: Attention Guided Network for Optical Flow Estimation Using Dilated Convolution.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos.
Sensors, 2018

Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance.
Sensors, 2018


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