Bing Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 47

Top Topics

Semantic Segmentation

Scene Classification

Convolutional Neural Networks

Top Venues

Multim. Tools Appl.

Int. J. Mach. Learn. Cybern.

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Xin He, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao
Remote sensing image semantic segmentation via class-guided structural interaction and boundary perception. Expert Syst. Appl. 252 (2024)
Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. IEEE Trans. Circuits Syst. Video Technol. 34 (3) (2024)
Yong Zhou, Lei Xia, Jiaqi Zhao, Rui Yao, Bing Liu
Efficient convolutional neural networks and network compression methods for object detection: a survey. Multim. Tools Appl. 83 (4) (2024)
Mingming Liu, Sui Li, Bing Liu, Yuxin Yang, Peng Liu, Chen Zhang
Single image super-resolution via global aware external attention and multi-scale residual channel attention network. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Zhiwen Shao, Yong Zhou, Feiran Li, Hancheng Zhu, Bing Liu
Joint facial action unit recognition and self-supervised optical flow estimation. Pattern Recognit. Lett. 181 (2024)
Jing Xu, Bing Liu, Yong Zhou, Mingming Liu, Rui Yao, Zhiwen Shao
Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 20 (1) (2024)
Ying Chen, Rui Yao, Yong Zhou, Jiaqi Zhao, Bing Liu, Abdulmotaleb El-Saddik
Black-box Attack against Self-supervised Video Object Segmentation Models with Contrastive Loss. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu, Hao Chen
Semi-supervised transformable architecture search for feature distillation. Pattern Anal. Appl. 26 (2) (2023)
Rui Yao, Ying Chen, Yong Zhou, Fuyuan Hu, Jiaqi Zhao, Bing Liu, Zhiwen Shao
Attention-guided Adversarial Attack for Video Object Segmentation. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Man Zhang, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao, Hancheng Zhu
Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning. IEEE Trans. Multim. 25 (2023)
Hao Liu, Yong Zhou, Bing Liu, Jiaqi Zhao, Rui Yao, Zhiwen Shao
Incremental learning with neural networks for computer vision: a survey. Artif. Intell. Rev. 56 (5) (2023)
Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. IEEE Trans. Multim. 25 (2023)
Hao Liu, Zhaoyu Yan, Bing Liu, Jiaqi Zhao, Yong Zhou, Abdulmotaleb El-Saddik
Distilled Meta-learning for Multi-Class Incremental Learning. ACM Trans. Multim. Comput. Commun. Appl. 19 (4) (2023)
Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer. CoRR (2023)
Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Bing Liu, Jiaqi Zhao, Zhiwen Shao
Unsupervised RGB-T object tracking with attentional multi-modal feature fusion. Multim. Tools Appl. 82 (15) (2023)
Xin He, Yong Zhou, Jiaqi Zhao, Man Zhang, Rui Yao, Bing Liu, Haichao Li
Semantic Segmentation of Remote-Sensing Images Based on Multiscale Feature Fusion and Attention Refinement. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yi Zheng, Yong Zhou, Jiaqi Zhao, Ying Chen, Rui Yao, Bing Liu, Abdulmotaleb El-Saddik
Clustering Matters: Sphere Feature for Fully Unsupervised Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 18 (4) (2022)
Jiaqi Wang, Bing Liu, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Yuancan Yang, Man Zhang, Liu Ming Ming
Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Zhiwen Shao, Yong Zhou, Bing Liu, Hancheng Zhu, Wen-Liang Du, Jiaqi Zhao
Facial action unit detection via hybrid relational reasoning. Vis. Comput. 38 (9) (2022)
Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao
Show, Deconfound and Tell: Image Captioning with Causal Inference. CVPR (2022)
Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask. CoRR (2022)
Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation. PRCV (1) (2022)
Rui Guo, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Xunhui Zhang
Unsupervised spatial-awareness attention-based and multi-scale domain adaption network for point cloud classification. Int. J. Wavelets Multiresolution Inf. Process. 19 (4) (2021)
Rui Guo, Yong Zhou, Jiaqi Zhao, Yiyun Man, Minjie Liu, Rui Yao, Bing Liu
Point cloud classification by dynamic graph CNN with adaptive feature fusion. IET Comput. Vis. 15 (3) (2021)
Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Ying Chen
A siamese pedestrian alignment network for person re-identification. Multim. Tools Appl. 80 (25) (2021)
Ding Ma, Yong Zhou, Rui Yao, Jiaqi Zhao, Bing Liu, Banji Gua
Shape robust Siamese network tracking based on weakly supervised learning. Int. J. Wavelets Multiresolution Inf. Process. 19 (1) (2021)
Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Ding Ma, Yi Zheng
Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification. Neurocomputing 381 (2020)
Bing Liu, Yong Zhou, Wei Sun
Character-level text classification via convolutional neural network and gated recurrent unit. Int. J. Mach. Learn. Cybern. 11 (8) (2020)
Man Zhang, Yong Zhou, Jiaqi Zhao, Yiyun Man, Bing Liu, Rui Yao
A survey of semi- and weakly supervised semantic segmentation of images. Artif. Intell. Rev. 53 (6) (2020)
Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao, Mingming Liu
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning. Knowl. Based Syst. 203 (2020)
Peng Liu, Xuekui Wang, Liangfei Yin, Bing Liu
Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest. Int. J. Mach. Learn. Cybern. 11 (11) (2020)
Xiangqing Shen, Bing Liu, Yong Zhou, Jiaqi Zhao
Remote sensing image caption generation via transformer and reinforcement learning. Multim. Tools Appl. 79 (35-36) (2020)
Xuning Liu, Yong Zhou, Jiaqi Zhao, Rui Yao, Bing Liu, Yi Zheng
Siamese Convolutional Neural Networks for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)
Yi Zheng, Yong Zhou, Jiaqi Zhao, Meng Jian, Rui Yao, Bing Liu, Xuning Liu
A Siamese Pedestrian Alignment Network for Person Re-identification. PRCV (1) (2019)
Yong Zhou, Xuning Liu, Jiaqi Zhao, Ding Ma, Rui Yao, Bing Liu, Yi Zheng
Remote sensing scene classification based on rotation-invariant feature learning and joint decision making. EURASIP J. Image Video Process. 2019 (2019)
Bing Liu, Yong Zhou, Peng Liu, Wei Sun, Shuang Li, Xinqiu Fang
Saliency detection via double nuclear norm maximization and ensemble manifold regularization. Knowl. Based Syst. 183 (2019)
Bing Liu, Yong Zhou, Wei Sun
Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization. ELM (2018)
Bing Liu, Yong Zhou, Zhanguo Xia, Peng Liu, Qiu-yan Yan, Hui Xu
Spectral regression based marginal Fisher analysis dimensionality reduction algorithm. Neurocomputing 277 (2018)
Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu
Relation classification via recurrent neural network with attention and tensor layers. Big Data Min. Anal. 1 (3) (2018)
Mingming Liu, Bing Liu, Chen Zhang, Wei Sun
Embedded non-parametric kernel learning for kernel clustering. Multidimens. Syst. Signal Process. 28 (4) (2017)
Mingming Liu, Bing Liu, Chen Zhang, Weidong Wang, Wei Sun
Semi-supervised low rank kernel learning algorithm via extreme learning machine. Int. J. Mach. Learn. Cybern. 8 (3) (2017)
Shuang Li, Bing Liu, Chen Zhang
Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing. Comput. Intell. Neurosci. 2016 (2016)
Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou
Manifold regularized extreme learning machine. Neural Comput. Appl. 27 (2) (2016)
Shixiong Xia, Fanrong Meng, Bing Liu, Yong Zhou
A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning. Cogn. Comput. 7 (1) (2015)
Yong Zhou, Beizuo Liu, Shixiong Xia, Bing Liu
Semi-supervised extreme learning machine with manifold and pairwise constraints regularization. Neurocomputing 149 (2015)
Mingming Liu, Wei Sun, Bing Liu
Multiple kernel dimensionality reduction via spectral regression and trace ratio maximization. Knowl. Based Syst. 83 (2015)
Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou
Extreme spectral regression for efficient regularized subspace learning. Neurocomputing 149 (2015)
Bing Liu, Shixiong Xia, Yong Zhou
Unsupervised non-parametric kernel learning algorithm. Knowl. Based Syst. 44 (2013)
Bing Liu, Shixiong Xia, Yong Zhou
Multiple Kernel Spectral Regression for Dimensionality Reduction. J. Appl. Math. 2013 (2013)
Chen Zhang, Shixiong Xia, Bing Liu, Lei Zhang
Extreme Maximum Margin Clustering. IEICE Trans. Inf. Syst. (8) (2013)
Chen Zhang, Xiong Shi Xia, Bing Liu
Deformed Kernel Based Extreme Learning Machine. J. Comput. 8 (6) (2013)