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Ping Li 0006
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Publications
- 2024
- [j37]Ping Li, Yu Zhang, Li Yuan, Xianghua Xu:
Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation. Inf. Process. Manag. 61(1): 103566 (2024) - [j36]Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu:
Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation. Pattern Recognit. 146: 110078 (2024) - [j35]Ping Li, Chenhan Zhang, Xianghua Xu:
Fast Fourier Inception Networks for Occluded Video Prediction. IEEE Trans. Multim. 26: 3418-3429 (2024) - 2023
- [j34]Ping Li, Jiachen Cao, Xingchao Ye:
Prototype contrastive learning for point-supervised temporal action detection. Expert Syst. Appl. 213(Part): 118965 (2023) - [j33]Ping Li, Pan Zhang, Tao Wang, Huaxin Xiao:
Time-frequency recurrent transformer with diversity constraint for dense video captioning. Inf. Process. Manag. 60(2): 103204 (2023) - [j32]Ping Li, Guopan Zhao, Jiajun Chen, Xianghua Xu:
Deep metric learning via group channel-wise ensemble. Knowl. Based Syst. 259: 110029 (2023) - [j31]Ping Li, Jiachen Cao, Li Yuan, Qinghao Ye, Xianghua Xu:
Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection. Pattern Recognit. 142: 109684 (2023) - [i12]Ping Li, Chenhan Zhang, Xianghua Xu:
Fast Fourier Inception Networks for Occluded Video Prediction. CoRR abs/2306.10346 (2023) - [i11]Ping Li, Junjie Chen, Binbin Lin, Xianghua Xu:
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation. CoRR abs/2306.10364 (2023) - [i10]Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu:
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation. CoRR abs/2309.11707 (2023) - [i9]Ping Li, Yu Zhang, Li Yuan, Xianghua Xu:
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation. CoRR abs/2309.11933 (2023) - [i8]Ping Li, Junjie Chen, Li Yuan, Xianghua Xu, Mingli Song:
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation. CoRR abs/2309.12557 (2023) - [i7]Ping Li, Yu Zhang, Li Yuan, Jian Zhao, Xianghua Xu, Xiaoqin Zhang:
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery. CoRR abs/2309.13857 (2023) - [i6]Ping Li, Chenhan Zhang, Zheng Yang, Xianghua Xu, Mingli Song:
Pair-wise Layer Attention with Spatial Masking for Video Prediction. CoRR abs/2311.11289 (2023) - 2022
- [j30]Ping Li, Pan Zhang, Xianghua Xu:
Graph convolutional network meta-learning with multi-granularity POS guidance for video captioning. Neurocomputing 472: 294-305 (2022) - [j29]Ping Li, Guopan Zhao, Xianghua Xu:
Coarse-to-fine few-shot classification with deep metric learning. Inf. Sci. 610: 592-604 (2022) - [j28]Luming Zhang, Yongheng Shang, Ping Li, Hao Luo, Ling Shao:
Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception. IEEE Trans. Cybern. 52(5): 3136-3146 (2022) - 2021
- [j27]Ping Li, Chao Tang, Xianghua Xu:
Video summarization with a graph convolutional attention network. Frontiers Inf. Technol. Electron. Eng. 22(6): 902-913 (2021) - [j26]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognit. 111: 107677 (2021) - [c7]Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang:
Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion. ICCV 2021: 7930-7939 - [c6]Ping Li, Guopan Zhao, Huaxin Xiao:
Adaptive Deep Metric Ensemble Learning with Consensus. ICME 2021: 1-6 - [c5]Huaxin Xiao, Yang Peng, Hanlin Tan, Ping Li:
Dynamic Cross Fusion Network for Building-Based Damage Assessment. ICME 2021: 1-6 - 2020
- [j25]Ping Li, Xianghua Xu:
Recurrent Compressed Convolutional Networks for Short Video Event Detection. IEEE Access 8: 114162-114171 (2020) - [j24]Yu Liu, Huaxin Xiao, Hanlin Tan, Ping Li:
Are RGB-based salient object detection methods unsuitable for light field data? EURASIP J. Image Video Process. 2020(1): 49 (2020) - [j23]Xianghua Xu, LiQiming Liu, Lingjun Zhang, Ping Li, Jinjun Chen:
Abnormal visual event detection based on multi-instance learning and autoregressive integrated moving average model in edge-based Smart City surveillance. Softw. Pract. Exp. 50(5): 476-488 (2020) - [j22]Luming Zhang, Jianwei Yin, Ping Li, Yongheng Shang, Roger Zimmermann, Ling Shao:
Flickr Image Community Analytics by Deep Noise-Refined Matrix Factorization. IEEE Trans. Multim. 22(5): 1273-1284 (2020) - [j21]Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng:
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks. IEEE Trans. Multim. 22(10): 2711-2722 (2020) - [i5]Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao:
Exploring global diverse attention via pairwise temporal relation for video summarization. CoRR abs/2009.10942 (2020) - 2019
- [j20]Xiao Sun, Luming Zhang, Zepeng Wang, Jie Chang, Yiyang Yao, Ping Li, Roger Zimmermann:
Scene Categorization Using Deeply Learned Gaze Shifting Kernel. IEEE Trans. Cybern. 49(6): 2156-2167 (2019) - [j19]Yiyang Yao, Luo Wang, Luming Zhang, Yi Yang, Ping Li, Roger Zimmermann, Ling Shao:
Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels. IEEE Trans. Cybern. 49(12): 4243-4252 (2019) - [j18]Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan:
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1061-1075 (2019) - [c4]Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. AAAI 2019: 9143-9150 - [i4]Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization. CoRR abs/1904.08265 (2019) - 2018
- [j17]Xiao Sun, Yuxing Hu, Luming Zhang, Yanxiang Chen, Ping Li, Zhao Xie, Zhenguang Liu:
Camera-Assisted Video Saliency Prediction and Its Applications. IEEE Trans. Cybern. 48(9): 2520-2530 (2018) - [j16]Yanxiang Chen, Yuxing Hu, Luming Zhang, Ping Li, Chao Zhang:
Engineering Deep Representations for Modeling Aesthetic Perception. IEEE Trans. Cybern. 48(11): 3092-3104 (2018) - [j15]Yinzuo Zhou, Luming Zhang, Chao Zhang, Ping Li, Xuelong Li:
Perceptually Aware Image Retargeting for Mobile Devices. IEEE Trans. Image Process. 27(5): 2301-2313 (2018) - 2017
- [j14]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. IEEE Trans. Cybern. 47(12): 4250-4262 (2017) - [c3]Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan:
Online Robust Low-Rank Tensor Learning. IJCAI 2017: 2180-2186 - 2016
- [j13]Ping Li, Jiajun Bu, Jun Yu, Chun Chen:
Towards robust subspace recovery via sparsity-constrained latent low-rank representation. J. Vis. Commun. Image Represent. 37: 46-52 (2016) - [i3]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. CoRR abs/1611.04870 (2016) - [i2]Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai:
Relational Multi-Manifold Co-Clustering. CoRR abs/1611.05743 (2016) - 2015
- [j12]Zhanying He, Chun Chen, Jiajun Bu, Ping Li, Deng Cai:
Multi-view based multi-label propagation for image annotation. Neurocomputing 168: 853-860 (2015) - [j11]Ping Li, Jiajun Bu, Lijun Zhang, Chun Chen:
Graph-based local concept coordinate factorization. Knowl. Inf. Syst. 43(1): 103-126 (2015) - [j10]Ping Li, Jiajun Bu, Bin Xu, Zhanying He, Chun Chen, Deng Cai:
Sparse fixed-rank representation for robust visual analysis. Signal Process. 110: 222-231 (2015) - 2014
- [j9]Ping Li, Jiajun Bu, Yi Yang, Rongrong Ji, Chun Chen, Deng Cai:
Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation. Expert Syst. Appl. 41(4): 1283-1293 (2014) - [j8]Ping Li, Jiajun Bu, Chun Chen, Deng Cai:
Manifold optimal experimental design via dependence maximization for active learning. Neurocomputing 142: 429-437 (2014) - [j7]Yaqing Wang, Ping Li, Cheng Yao:
Hypergraph canonical correlation analysis for multi-label classification. Signal Process. 105: 258-267 (2014) - [i1]Ping Li, Hong Li, Min Wu:
Multi-label ensemble based on variable pairwise constraint projection. CoRR abs/1403.1944 (2014) - 2013
- [j6]Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai:
Subspace learning via Locally Constrained A-optimal nonnegative projection. Neurocomputing 115: 49-62 (2013) - [j5]Ping Li, Jiajun Bu, Bin Xu, Beidou Wang, Chun Chen:
Locally discriminative spectral clustering with composite manifold. Neurocomputing 119: 243-252 (2013) - [j4]Ping Li, Jiajun Bu, Deng Cai:
Multi-Manifold Concept Factorization for Data Clustering. Int. J. Softw. Informatics 7(3): 407-418 (2013) - [j3]Ping Li, Hong Li, Min Wu:
Multi-label ensemble based on variable pairwise constraint projection. Inf. Sci. 222: 269-281 (2013) - [j2]Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai:
Relational Multimanifold Coclustering. IEEE Trans. Cybern. 43(6): 1871-1881 (2013) - 2012
- [j1]Ping Li, Chun Chen, Jiajun Bu:
Clustering analysis using manifold kernel concept factorization. Neurocomputing 87: 120-131 (2012) - [c2]Ping Li, Jiajun Bu, Chun Chen, Zhanying He:
Relational co-clustering via manifold ensemble learning. CIKM 2012: 1687-1691 - 2006
- [c1]Ling Shao, Ihor O. Kirenko, Ping Li:
Feature classification based on local information. EUSIPCO 2006: 1-4
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