Huafeng Liu

According to our database, Huafeng Liu authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

2024

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection.

Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen

IEEE Trans. Multim., 2024

Universal Organizer of SAM for Unsupervised Semantic Segmentation.

Tingting Li, Gensheng Pei, Xinhao Cai, Huafeng Liu, Qiong Wang, Yazhou Yao

CoRR, 2024

Universal Organizer of Segment Anything Model for Unsupervised Semantic Segmentation.

Tingting Li, Gensheng Pei, Xinhao Cai, Qiong Wang, Huafeng Liu, Yazhou Yao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

SMP-Track: SAM in Multi-Pedestrian Tracking.

Shiyin Wang, Huafeng Liu, Qiong Wang, Yichao Zhou, Yazhou Yao

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

VideoMAC: Video Masked Autoencoders Meet ConvNets.

Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network.

Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua

IEEE Trans. Multim., 2023

Co-mining: Mining informative samples with noisy labels.

Zhenhuang Cai, Huafeng Liu, Dan Huang, Yazhou Yao, Zhenmin Tang

Signal Process., 2023

2022

Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise.

Zeren Sun, Huafeng Liu, Qiong Wang, Tianfei Zhou, Qi Wu, Zhenmin Tang

IEEE Trans. Multim., 2022

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples.

Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang

IEEE Trans. Multim., 2022

Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection.

Huafeng Liu, Haofeng Zhang, Jianfeng Lu, Zhenmin Tang

IEEE Trans. Multim., 2022

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

Jiacheng Zhang, Huafeng Liu, Jianfeng Lu

Displays, 2022

2021

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

Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang

CoRR, 2021

2020

Road segmentation with image-LiDAR data fusion in deep neural network.

Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenming Tang

Multim. Tools Appl., 2020

Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation.

Jiarou Lu, Huafeng Liu, Yazhou Yao, Shuyin Tao, Zhenming Tang, Jianfeng Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification.

Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep representation learning for road detection using Siamese network.

Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenmin Tang

Multim. Tools Appl., 2019

Deep Representation Learning for Road Detection through Siamese Network.

Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang

CoRR, 2019

Road Segmentation with Image-LiDAR Data Fusion.

Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang

CoRR, 2019

2017

Deep Learning for Person Reidentification Using Support Vector Machines.

Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu

Adv. Multim., 2017