Huafeng Liu

Orcid: 0000-0001-5396-3183

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China


According to our database1, Huafeng Liu authored at least 16 papers between 2017 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
VideoMAC: Video Masked Autoencoders Meet ConvNets.
CoRR, 2024

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection.
CoRR, 2024

2023
FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network.
IEEE Trans. Multim., 2023

Co-mining: Mining informative samples with noisy labels.
Signal Process., 2023

2022
Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise.
IEEE Trans. Multim., 2022

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples.
IEEE Trans. Multim., 2022

Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection.
IEEE Trans. Multim., 2022

A semi-supervised 3D object detection method for autonomous driving.
Displays, 2022

2021
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones.
CoRR, 2021

2020
Road segmentation with image-LiDAR data fusion in deep neural network.
Multim. Tools Appl., 2020

Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep representation learning for road detection using Siamese network.
Multim. Tools Appl., 2019

Deep Representation Learning for Road Detection through Siamese Network.
CoRR, 2019

Road Segmentation with Image-LiDAR Data Fusion.
CoRR, 2019

2017
Deep Learning for Person Reidentification Using Support Vector Machines.
Adv. Multim., 2017


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