Bing Liu

According to our database, Bing Liu authored at least 46 papers between 2013 and 2024.

Collaborative distances:

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

2024

CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer.

Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss.

Ying Chen, Rui Yao, Yong Zhou, Jiaqi Zhao, Bing Liu, Abdulmotaleb El-Saddik

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning.

Jing Xu, Bing Liu, Yong Zhou, Mingming Liu, Rui Yao, Zhiwen Shao

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Efficient convolutional neural networks and network compression methods for object detection: a survey.

Yong Zhou, Lei Xia, Jiaqi Zhao, Rui Yao, Bing Liu

Multim. Tools Appl., January, 2024

2023

Attention-guided Adversarial Attack for Video Object Segmentation.

Rui Yao, Ying Chen, Yong Zhou, Fuyuan Hu, Jiaqi Zhao, Bing Liu, Zhiwen Shao

ACM Trans. Intell. Syst. Technol., December, 2023

Unsupervised RGB-T object tracking with attentional multi-modal feature fusion.

Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Bing Liu, Jiaqi Zhao, Zhiwen Shao

Multim. Tools Appl., June, 2023

Semi-supervised transformable architecture search for feature distillation.

Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu, Hao Chen

Pattern Anal. Appl., May, 2023

Incremental learning with neural networks for computer vision: a survey.

Hao Liu, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao

Artif. Intell. Rev., May, 2023

Distilled Meta-learning for Multi-Class Incremental Learning.

Hao Liu, Zhaoyu Yan, Bing Liu, Jiaqi Zhao, Yong Zhou, Abdulmotaleb El-Saddik

ACM Trans. Multim. Comput. Commun. Appl., 2023

Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning.

Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu

IEEE Trans. Multim., 2023

TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask.

Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao

IEEE Trans. Multim., 2023

2022

Facial action unit detection via hybrid relational reasoning.

Zhiwen Shao, Yong Zhou, Bing Liu, Hancheng Zhu, Wen-Liang Du, Jiaqi Zhao

Vis. Comput., 2022

Clustering Matters: Sphere Feature for Fully Unsupervised Person Re-identification.

Yi Zheng, Yong Zhou, Jiaqi Zhao, Ying Chen, Rui Yao, Bing Liu, Abdulmotaleb El-Saddik

ACM Trans. Multim. Comput. Commun. Appl., 2022

Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image.

Jiaqi Wang, Bing Liu, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Yuancan Yang, Man Zhang, Liu Ming Ming

IEEE Geosci. Remote. Sens. Lett., 2022

Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement.

Xin He, Yong Zhou, Jiaqi Zhao, Man Zhang, Rui Yao, Bing Liu, Haichao Li

IEEE Geosci. Remote. Sens. Lett., 2022

BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation.

Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Show, Deconfound and Tell: Image Captioning with Causal Inference.

Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao

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

2021

A siamese pedestrian alignment network for person re-identification.

Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Ying Chen

Multim. Tools Appl., 2021

Shape robust Siamese network tracking based on weakly supervised learning.

Ding Ma, Yong Zhou, Rui Yao, Jiaqi Zhao, Bing Liu, Banji Gua

Int. J. Wavelets Multiresolution Inf. Process., 2021

Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification.

Rui Guo, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Xunhui Zhang

Int. J. Wavelets Multiresolution Inf. Process., 2021

Point cloud classification by dynamic graph CNN with adaptive feature fusion.

Rui Guo, Yong Zhou, Jiaqi Zhao, Yiyun Man, Minjie Liu, Rui Yao, Bing Liu

IET Comput. Vis., 2021

2020

Remote sensing image caption generation via transformer and reinforcement learning.

Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao

Multim. Tools Appl., 2020

Character-level text classification via convolutional neural network and gated recurrent unit.

Bing Liu, Yong Zhou, Wei Sun

Int. J. Mach. Learn. Cybern., 2020

Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest.

Peng Liu, Xuekui Wang, Liangfei Yin, Bing Liu

Int. J. Mach. Learn. Cybern., 2020

Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning.

Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao, Mingming Liu

Knowl. Based Syst., 2020

Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification.

Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Ding Ma, Yi Zheng

Neurocomputing, 2020

A survey of semi- and weakly supervised semantic segmentation of images.

Man Zhang, Yong Zhou, Jiaqi Zhao, Yiyun Man, Bing Liu, Rui Yao

Artif. Intell. Rev., 2020

2019

Siamese Convolutional Neural Networks for Remote Sensing Scene Classification.

Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Yi Zheng

IEEE Geosci. Remote. Sens. Lett., 2019

Saliency detection via double nuclear norm maximization and ensemble manifold regularization.

Bing Liu, Yong Zhou, Peng Liu, Wei Sun, Shuang Li, Xinqiu Fang

Knowl. Based Syst., 2019

Remote sensing scene classification based on rotation-invariant feature learning and joint decision making.

Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng

EURASIP J. Image Video Process., 2019

A Siamese Pedestrian Alignment Network for Person Re-identification.

Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Xuning Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018

Spectral regression based marginal Fisher analysis dimensionality reduction algorithm.

Bing Liu, Yong Zhou, Zhanguo Xia, Peng Liu, Qiu-Yan Yan, Hui Xu

Neurocomputing, 2018

Relation classification via recurrent neural network with attention and tensor layers.

Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

Big Data Min. Anal., 2018

Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization.

Bing Liu, Yong Zhou, Wei Sun

Proceedings of ELM 2018, 2018

2017

Embedded non-parametric kernel learning for kernel clustering.

Mingming Liu, Bing Liu, Chen Zhang, Wei Sun

Multidimens. Syst. Signal Process., 2017

Semi-supervised low rank kernel learning algorithm via extreme learning machine.

Mingming Liu, Bing Liu, Chen Zhang, Weidong Wang, Wei Sun

Int. J. Mach. Learn. Cybern., 2017

2016

Manifold regularized extreme learning machine.

Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou

Neural Comput. Appl., 2016

Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.

Shuang Li, Bing Liu, Chen Zhang

Comput. Intell. Neurosci., 2016

2015

Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization.

Mingming Liu, Wei Sun, Bing Liu

Knowl. Based Syst., 2015

Semi-supervised extreme learning machine with manifold and pairwise constraints regularization.

Yong Zhou, Beizuo Liu, Shixiong Xia, Bing Liu

Neurocomputing, 2015

Extreme spectral regression for efficient regularized subspace learning.

Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou

Neurocomputing, 2015

A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning.

Shixiong Xia, Fanrong Meng, Bing Liu, Yong Zhou

Cogn. Comput., 2015

2013

Unsupervised non-parametric kernel learning algorithm.

Bing Liu, Shixiong Xia, Yong Zhou

Knowl. Based Syst., 2013

Deformed Kernel Based Extreme Learning Machine.

Chen Zhang, Xiong Shi Xia, Bing Liu

J. Comput., 2013

Multiple Kernel Spectral Regression for Dimensionality Reduction.

Bing Liu, Shixiong Xia, Yong Zhou

J. Appl. Math., 2013

Extreme Maximum Margin Clustering.

Chen Zhang, Shixiong Xia, Bing Liu, Lei Zhang

IEICE Trans. Inf. Syst., 2013