Huafeng Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Sample Selection

Top Venues

IEEE Trans. Multim.

Multim. Tools Appl.

Publications

Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao
VideoMAC: Video Masked Autoencoders Meet ConvNets. CoRR (2024)
Tingting Li, Gensheng Pei, Xinhao Cai, Huafeng Liu, Qiong Wang, Yazhou Yao
Universal Organizer of SAM for Unsupervised Semantic Segmentation. CoRR (2024)
Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. CoRR (2024)
Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen
Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. IEEE Trans. Multim. 26 (2024)
Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua
FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network. IEEE Trans. Multim. 25 (2023)
Zhenhuang Cai, Huafeng Liu, Dan Huang, Yazhou Yao, Zhenmin Tang
Co-mining: Mining informative samples with noisy labels. Signal Process. 209 (2023)
Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network. CoRR (2023)
Zeren Sun, Huafeng Liu, Qiong Wang, Tianfei Zhou, Qi Wu, Zhenmin Tang
Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise. IEEE Trans. Multim. 24 (2022)
Huafeng Liu, Haofeng Zhang, Jianfeng Lu, Zhenmin Tang
Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection. IEEE Trans. Multim. 24 (2022)
Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. IEEE Trans. Multim. 24 (2022)
Jiacheng Zhang, Huafeng Liu, Jianfeng Lu
A semi-supervised 3D object detection method for autonomous driving. Displays 71 (2022)
Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. CoRR (2021)
Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenming Tang
Road segmentation with image-LiDAR data fusion in deep neural network. Multim. Tools Appl. 79 (47) (2020)
Jiarou Lu, Huafeng Liu, Yazhou Yao, Shuyin Tao, Zhenming Tang, Jianfeng Lu
Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation. ICME (2020)
Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. AAAI (2020)
Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenmin Tang
Deep representation learning for road detection using Siamese network. Multim. Tools Appl. 78 (17) (2019)
Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang
Deep Representation Learning for Road Detection through Siamese Network. CoRR (2019)
Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang
Road Segmentation with Image-LiDAR Data Fusion. CoRR (2019)
Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu
Deep Learning for Person Reidentification Using Support Vector Machines. Adv. Multim. 2017 (2017)