| Preprocessing reference sensor pattern noise via spectrum equalization X Lin, CT Li IEEE Transactions on Information Forensics and Security 11 (1), 126-140, 2015 | 106 | 2015 |
| Large-scale image clustering based on camera fingerprints X Lin, CT Li IEEE Transactions on Information Forensics and Security 12 (4), 793-808, 2016 | 60 | 2016 |
| Enhancing sensor pattern noise via filtering distortion removal X Lin, CT Li IEEE Signal Processing Letters 23 (3), 381-385, 2016 | 54 | 2016 |
| Exposing image forgery through the detection of contrast enhancement X Lin, CT Li, Y Hu 2013 IEEE international conference on image processing, 4467-4471, 2013 | 48 | 2013 |
| On the detection-to-track association for online multi-object tracking X Lin, CT Li, V Sanchez, C Maple Pattern Recognition Letters 146, 200-207, 2021 | 42 | 2021 |
| Deep detection for face manipulation D Feng, X Lu, X Lin Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 33 | 2020 |
| A fast source-oriented image clustering method for digital forensics CT Li, X Lin EURASIP Journal on Image and Video Processing 2017, 1-16, 2017 | 31 | 2017 |
| Self-supervised leaf segmentation under complex lighting conditions X Lin, CT Li, S Adams, AZ Kouzani, R Jiang, L He, Y Hu, M Vernon, ... Pattern Recognition 135, 109021, 2023 | 22 | 2023 |
| Two improved forensic methods of detecting contrast enhancement in digital images X Lin, X Wei, CT Li Media watermarking, security, and forensics 2014 9028, 326-335, 2014 | 18 | 2014 |
| PRNU-based content forgery localization augmented with image segmentation X Lin, CT Li IEEE Access 8, 222645-222659, 2020 | 15 | 2020 |
| Hybrid clustering of shared images on social networks for digital forensics R Rouhi, F Bertini, D Montesi, X Lin, Y Quan, CT Li IEEE Access 7, 87288-87302, 2019 | 15 | 2019 |
| Beyond prnu: Learning robust device-specific fingerprint for source camera identification Manisha, CT Li, X Lin, KA Kotegar Sensors 22 (20), 7871, 2022 | 10 | 2022 |
| Refining PRNU-based detection of image forgeries X Lin, Chang-Tsun Li Digital Media Industry & Academic Forum (DMIAF), 222-226, 2016 | 10 | 2016 |
| Provenance analysis for instagram photos Y Quan, X Lin, CT Li Australasian Conference on Data Mining, 372-383, 2018 | 9 | 2018 |
| An improved algorithm for camera model identification using inter-channel demosaicking traces Y Hu, CT Li, X Lin, B Liu 2012 Eighth International Conference on Intelligent Information Hiding and …, 2012 | 7 | 2012 |
| Provenance inference for instagram photos through device fingerprinting Y Quan, X Lin, CT Li IEEE Access 8, 168309-168320, 2020 | 6 | 2020 |
| On constructing A better correlation predictor for PRNU-based image forgery localization X Lin, CT Li 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 4 | 2021 |
| Rotation-invariant binary representation of sensor pattern noise for source-oriented image and video clustering X Lin, CT Li 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 | 4 | 2018 |
| Source camera identification issues: forensic features selection and robustness Y Hu, CT Li, C Zhou, X Lin International Journal of Digital Crime and Forensics (IJDCF) 3 (4), 1-15, 2011 | 4 | 2011 |
| Image provenance inference through content-based device fingerprint analysis X Lin, CT Li Information Security: Foundations, Technologies and Applications, 279-310, 2018 | 3 | 2018 |
Chang-Tsun LiProfessor of Cyber Security at Deakin University, AustraliaVerified email at deakin.edu.au
