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ORCIDJun Lei 0001
Person information
- affiliation: National University of Defense Technology, College of Systems Engineering, Changsha, China
Other persons with the same name
- Jun Lei — disambiguation page
- Jun Lei 0002 — University of Göttingen, Germany
- Jun Lei 0003 — Polytechnic University of Catalonia, Spain
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2020 – today
- 2024
[j14]Yang Liu
, Xiaofei Li, Jun Zhang, Shuohao Li, Shengze Hu, Jun Lei:
Hierarchical Progressive Image Forgery Detection and Localization Method Based on UNet. Big Data Cogn. Comput. 8(9): 119 (2024)- [i2]Yang Liu, Xiaofei Li, Jun Zhang, Shengze Hu, Jun Lei:
DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention. CoRR abs/2406.01489 (2024) - 2023
- [j13]Miaomiao Yu, Jun Zhang, Shuohao Li, Jun Lei:
MSFRNet: Two-stream deep forgery detector via multi-scale feature extraction. IET Image Process. 17(2): 581-596 (2023) - [j12]Hao Zhou, Jun Zhang, Tingjin Luo, Yazhou Yang, Jun Lei:
Debiased Scene Graph Generation for Dual Imbalance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4274-4288 (2023) - [c10]Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen:
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. IJCAI 2023: 1116-1124 - 2022
- [j11]Miaomiao Yu, Sigang Ju, Jun Zhang, Shuohao Li, Jun Lei, Xiaofei Li:
Patch-DFD: Patch-based end-to-end DeepFake discriminator. Neurocomputing 501: 583-595 (2022) - 2021
- [j10]Yazhou Yang, Xiaoqing Yin, Yang Zhao, Jun Lei, Weili Li, Zhe Shu:
Batch Mode Active Learning Based on Multi-Set Clustering. IEEE Access 9: 51452-51463 (2021) - [j9]Miaomiao Yu, Jun Zhang, Shuohao Li, Jun Lei, Fenglei Wang, Hao Zhou:
Deep forgery discriminator via image degradation analysis. IET Image Process. 15(11): 2478-2493 (2021) - [c9]Hao Zhou, Tingjin Luo, Jun Zhang, Jun Lei, Shuohao Li:
Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation. ICME 2021: 1-6 - 2020
- [j8]Fenglei Wang, Hao Zhou, Shuohao Li, Jun Lei, Jun Zhang:
Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification. Symmetry 12(9): 1511 (2020) - [c8]Jiayu He, Guohui Li, Jun Lei:
Feature Pyramid Hierarchies for Multi-scale Temporal Action Detection. ICPR 2020: 2158-2165
2010 – 2019
- 2019
- [j7]Hao Zhou, Jun Lei, Fenglei Wang, Jun Zhang:
Image semantic segmentation with finer edges and complete parts from bounding box annotations. J. Electronic Imaging 28(2): 023010 (2019) - [c7]Yuqian Zhang, Tao Wang, Guohui Li, Jun Lei, Luyang Wang:
Crowd Counting using DMCNN. ICIAI 2019: 138-144 - 2018
- [c6]Luyang Wang, Guohui Li, Jun Lei, Tao Wang, Yuqian Zhang:
Density-Based Manifold Collective Clustering for Coherent Motion Detection. ICMVA 2018: 22-27 - 2017
- [j6]Shuohao Li, Jun Zhang, Qiang Guo, Jun Lei, Dan Tu:
Generating image descriptions with multidirectional 2D long short-term memory. IET Comput. Vis. 11(1): 104-111 (2017) - [j5]Fenglei Wang, Qiang Guo, Jun Lei, Jun Zhang:
Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition. IET Comput. Vis. 11(6): 497-504 (2017) - [j4]Shuohao Li, Min Tang, Qiang Guo, Jun Lei, Jun Zhang:
Deep neural network with attention model for scene text recognition. IET Comput. Vis. 11(7): 605-612 (2017) - [c5]Jun Lei, Guohui Li, Jun Zhang, Shuohao Li, Fenglei Wang:
Continuous action recognition with weakly labelling videos. MVA 2017: 242-245 - [c4]Tao Wang, Guohui Li, Jun Lei, Shuohao Li, Shukui Xu:
Crowd Counting Based on MMCNN in Still Images. SCIA (1) 2017: 468-479 - 2016
- [j3]Jun Lei, Guohui Li, Jun Zhang, Qiang Guo, Dan Tu:
Continuous action segmentation and recognition using hybrid convolutional neural network-hidden Markov model model. IET Comput. Vis. 10(6): 537-544 (2016) - [j2]Qiang Guo, Fenglei Wang, Jun Lei, Dan Tu, Guohui Li:
Convolutional feature learning and Hybrid CNN-HMM for scene number recognition. Neurocomputing 184: 78-90 (2016) - [i1]Qiang Guo, Dan Tu, Guohui Li, Jun Lei:
Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition. CoRR abs/1601.01100 (2016) - 2014
- [j1]Jun Lei, Guohui Li, Dan Tu, Qiang Guo:
Convolutional restricted Boltzmann machines learning for robust visual tracking. Neural Comput. Appl. 25(6): 1383-1391 (2014) - [c3]Qiang Guo, Dan Tu, Jun Lei, Guohui Li:
Hybrid CNN-HMM Model for Street View House Number Recognition. ACCV Workshops (1) 2014: 303-315 - [c2]Qiang Guo, Jun Lei, Dan Tu, Guohui Li:
Reading numbers in natural scene images with convolutional neural networks. SPAC 2014: 48-53 - [c1]Jun Lei, Guohui Li, Jun Zhang, Dan Lu, Qiang Guo:
Online structural SVM learning by dual ascending procedure. SPAC 2014: 212-217
Coauthor Index
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