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ORCIDHaodong Li 0001
Person information
- affiliation: Shenzhen University, Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen, China
- affiliation: Shenzhen University, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
Other persons with the same name
- Haodong Li — disambiguation page
- Haodong Li 0002
![[0000-0001-8184-400X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8184-400X")
— The University of Manchester, Manchester, UK - Haodong Li 0003 — Beijing Jiaotong University, Beijing, China
- Haodong Li 0004 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Haodong Li 0005 — North China University of Technology, School of Economics and Management, Beijing, China
- Haodong Li 0006 — Sichuan University, College of Electrical Engineering, Chengdu, China
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2020 – today
- 2023
[j13]Peiyu Zhuang, Haodong Li, Rui Yang, Jiwu Huang:
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization. IEEE Trans. Inf. Forensics Secur. 18: 5243-5257 (2023)- 2022
- [j12]Yuanhang Huang, Shan Bian, Haodong Li, Chuntao Wang, Kangshun Li:
DS-UNet: A dual streams UNet for refined image forgery localization. Inf. Sci. 610: 73-89 (2022) - [j11]Changsheng Chen, Lin Zhao, Jiabin Yan, Haodong Li:
A distortion model-based pre-screening method for document image tampering localization under recapturing attack. Signal Process. 200: 108666 (2022) - [c10]Shujin Wei, Haodong Li, Jiwu Huang:
Deep Video Inpainting Localization Using Spatial and Temporal Traces. ICASSP 2022: 8957-8961 - [i5]Peiyu Zhuang, Haodong Li, Rui Yang, Jiwu Huang:
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization. CoRR abs/2211.03930 (2022) - 2021
- [j10]Bin Li, Bowei Zheng, Haodong Li, Yanran Li:
Detail-enhanced image inpainting based on discrete wavelet transforms. Signal Process. 189: 108278 (2021) - [j9]Peiyu Zhuang, Haodong Li, Shunquan Tan, Bin Li, Jiwu Huang:
Image Tampering Localization Using a Dense Fully Convolutional Network. IEEE Trans. Inf. Forensics Secur. 16: 2986-2999 (2021) - [c9]Haodong Li, Xiaoming Chen, Peiyu Zhuang, Bin Li:
Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention. PRCV (2) 2021: 610-622 - 2020
- [j8]Bolin Chen, Haodong Li, Weiqi Luo, Jiwu Huang:
Image processing operations identification via convolutional neural network. Sci. China Inf. Sci. 63(3) (2020) - [j7]Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang:
Identification of deep network generated images using disparities in color components. Signal Process. 174: 107616 (2020)
2010 – 2019
- 2019
- [c8]Haodong Li, Jiwu Huang:
Localization of Deep Inpainting Using High-Pass Fully Convolutional Network. ICCV 2019: 8300-8309 - 2018
- [j6]Haodong Li, Weiqi Luo, Xiaoqing Qiu, Jiwu Huang:
Identification of Various Image Operations Using Residual-Based Features. IEEE Trans. Circuits Syst. Video Technol. 28(1): 31-45 (2018) - [j5]Weiqi Luo, Haodong Li, Qi Yan, Rui Yang, Jiwu Huang:
Improved Audio Steganalytic Feature and Its Applications in Audio Forensics. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 43:1-43:14 (2018) - [c7]Haodong Li, Han Chen, Bin Li, Shunquan Tan:
Can Forensic Detectors Identify GAN Generated Images? APSIPA 2018: 722-727 - [i4]Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang:
Detection of Deep Network Generated Images Using Disparities in Color Components. CoRR abs/1808.07276 (2018) - 2017
- [j4]Haodong Li, Weiqi Luo, Xiaoqing Qiu, Jiwu Huang:
Image Forgery Localization via Integrating Tampering Possibility Maps. IEEE Trans. Inf. Forensics Secur. 12(5): 1240-1252 (2017) - [j3]Haodong Li, Weiqi Luo, Jiwu Huang:
Localization of Diffusion-Based Inpainting in Digital Images. IEEE Trans. Inf. Forensics Secur. 12(12): 3050-3064 (2017) - [c6]Bolin Chen, Weiqi Luo, Haodong Li:
Audio Steganalysis with Convolutional Neural Network. IH&MMSec 2017: 85-90 - [c5]Weiqi Luo, Yue Zhang, Haodong Li:
Adaptive Audio Steganography Based on Advanced Audio Coding and Syndrome-Trellis Coding. IWDW 2017: 177-186 - [i3]Haodong Li, Weiqi Luo, Quanquan Rao, Jiwu Huang:
Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack. CoRR abs/1707.07795 (2017) - [i2]Bolin Chen, Haodong Li, Weiqi Luo:
Image Processing Operations Identification via Convolutional Neural Network. CoRR abs/1709.02908 (2017) - 2016
- [j2]Weixuan Tang, Haodong Li, Weiqi Luo, Jiwu Huang:
Adaptive Steganalysis Based on Embedding Probabilities of Pixels. IEEE Trans. Inf. Forensics Secur. 11(4): 734-745 (2016) - 2015
- [j1]Haodong Li, Weiqi Luo, Jiwu Huang:
Anti-forensics of double JPEG compression with the same quantization matrix. Multim. Tools Appl. 74(17): 6729-6744 (2015) - [i1]Haodong Li, Weiqi Luo, Xiaoqing Qiu, Jiwu Huang:
Identification of Image Operations Based on Steganalytic Features. CoRR abs/1503.04718 (2015) - 2014
- [c4]Chao Chen, Haodong Li, Weiqi Luo, Rui Yang, Jiwu Huang:
Anti-forensics of JPEG Detectors via Adaptive Quantization Table Replacement. ICPR 2014: 672-677 - [c3]Weixuan Tang, Haodong Li, Weiqi Luo, Jiwu Huang:
Adaptive steganalysis against WOW embedding algorithm. IH&MMSec 2014: 91-96 - [c2]Xiaoqing Qiu, Haodong Li, Weiqi Luo, Jiwu Huang:
A universal image forensic strategy based on steganalytic model. IH&MMSec 2014: 165-170 - 2012
- [c1]Haodong Li, Weiqi Luo, Jiwu Huang:
Countering anti-JPEG compression forensics. ICIP 2012: 241-244
Coauthor Index
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