Wang
Kai
Chargé de Recherche CNRS
Publications

International Journal Papers

  • Convolutional neural network initialization approaches for image manipulation detection. I. Castillo Camacho and K. Wang. Digital Signal Processing, 2022. (to appear, preprint)
  • Disentangling copy-moved source and target areas. L. Darmet, K. Wang, and F. Cayre. Applied Soft Computing, vol. 109, pp. 107536:1-107536:10, 2021. (preprint)
  • A comprehensive review of deep-learning-based methods for image forensics. I. Castillo Camacho and K. Wang. Journal of Imaging, vol. 7, no. 4(69), pp. 1-39, 2021. (pdf)
  • Learn with diversity and from harder samples: Improving the generalization of CNN-based detection of computer-generated images. W. Quan, K. Wang, D.-M. Yan, X. Zhang, and D. Pellerin. Forensic Science International: Digital Investigation, vol.35, pp. 301023:1-12, 2020. (pdf, project page)
  • GRAFT: Unsupervised adaptation to resizing for detection of image manipulation. L. Darmet, K. Wang, and F. Cayre. IEEE Access, vol. 8, pp. 55619-55632, 2020. (pdf, code)
  • Distinguishing between natural and computer-generated images using convolutional neural networks. W. Quan, K. Wang, D.-M. Yan, and X. Zhang. IEEE Transactions on Information Forensics and Security, vol. 13, no.11, pp. 2772-2787, 2018. (IEEE Xplore, project page)
  • A simple and effective image-statistics-based approach to detecting recaptured images from LCD screens. K. Wang. Digital Investigation, vol. 23, pp. 75-87, 2017. (preprint, code)
  • Visual contrast sensitivity and discrimination for 3D meshes and their applications. G. Nader, K. Wang, F. Hétroy-Wheeler, and F. Dupont. Computer Graphics Forum (Special Issue of Pacific Graphics), vol. 35, no.7, pp. 497-506, 2016. (Best Paper Award of Pacific Graphics 2016)
  • Just noticeable distortion profile for flat-shaded 3D mesh surfaces. G. Nader, K. Wang, F. Hétroy-Wheeler, and F. Dupont. IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 11, pp. 2423-2436, 2016. (IEEE Xplore)
  • Median filtered image quality enhancement and anti-forensics via variational deconvolution. W. Fan, K. Wang, F. Cayre, and Z. Xiong. IEEE Transactions on Information Forensics and Security, vol. 10, no. 5, pp. 1076-1091, 2015. (IEEE Xplore, supple&code)
  • Perceptual quality assessment of 3D dynamic meshes: Subjective and objectives studies. F. Torkhani, K. Wang, and J.-M. Chassery. Signal Processing: Image Communication, vol. 31, no. 2, pp. 185-204, 2015. (ScienceDirect, preprint, database website)
  • JPEG anti-forensics with improved trade-off between forensic undetectability and image quality. W. Fan, K. Wang, F. Cayre, and Z. Xiong. IEEE Transactions on Information Forensics and Security, vol. 9, no. 8, pp. 1211-1226, 2014. (IEEE Xplore, supple&code, erratum)
  • A curvature-tensor-based perceptual quality metric for 3D triangular meshes. F. Torkhani, K. Wang, and J.-M. Chassery. Machine Graphics & Vision. vol. 23, no.1-2, pp. 59-82, 2014. (pdf, Windows binary, code)
  • Perceptual metrics for static and dynamic triangle meshes. M. Corsini, M. C. Larabi, G. Lavoué, O. Petrik, L. Vasa, and K. Wang. Computer Graphics Forum (improved version of Eurographics STAR), vol. 32, no.1, pp. 101-125, 2013. (Wiley Online Library for PDF and Erratum)
  • A fast roughness-based approach to the assessment of 3D mesh visual quality. K. Wang, F. Torkhani, and A. Montanvert. Computers & Graphics, vol. 36, no.7, pp. 808-818, 2012. (pdf, code)
  • Robust and blind mesh watermarking based on volume moments. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. Computers & Graphics, vol. 35, no.1, pp. 1-19, 2011. (pdf)
  • Hierarchical watermarking of semiregular meshes based on wavelet transform. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. IEEE Transactions on Information Forensics and Security, vol. 3, no. 4, pp. 620-634, 2008. (pdf)
  • A comprehensive survey on three-dimensional mesh watermarking. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. IEEE Transactions on Multimedia, vol. 10, no. 8, pp. 1513-1527, 2008. (pdf)

Book Chapters
  • Reconstruction of piecewise-explicit surfaces from three-dimensional polylines and heightmap fragments. J. Baudrillard, S. Guillon, J.-M. Chassery, M. Rombaut, and K. Wang. Geographical Information Systems Theory, Applications and Management (4th International Conference, GISTAM 2018, Revised Selected Papers), pp.1-27, 2019. (SpringerLink)
  • Blind watermarking of three-dimensional meshes: Review, recent advances and future opportunities. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In "Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications", Ed. Ali Al-Haj, IGI Global. Chapter 9, pp. 200-227, 2010. (link to the book webpage)

International Conference Papers
  • Data-dependent scaling of CNN's first layer for improved image manipulation detection. I. Castillo Camacho and K. Wang. In Proc. of the International Workshop on Digital-forensics and Watermarking, Melbourne, Australia, pp. 1-15, 2020. (pdf)
  • Weakly supervised adaptation to re-sizing for image manipulation detection on small patches. L. Darmet, K. Wang, and F. Cayre. In Proc. of the International Workshop on Digital-forensics and Watermarking, Chengdu, China, pp. 99-114, 2019. (pdf)
  • Impact of data preparation and CNN’s first layer on performance of image forensics: A case study of detecting colorized images. W. Quan, K. Wang, D.-M. Yan, D. Pellerin, and X. Zhang. In Proc of the WI'19 Companion IEEE/WIC/ACM International Conference on Web Intelligence, Thessaloniki, Greece, pp.127-131, 2019. (pdf)
  • Improving the generalization of colorized image detection with enhanced training of CNN. W. Quan, K. Wang, D.-M. Yan, D. Pellerin, and X. Zhang. In Proc. of the International Symposium on Image and Signal Processing and Analysis, Dubrovnik, Croatia, pp. 246-252, 2019. (pdf, project page)
  • A simple and effective initialization of CNN for forensics of image processing operations. I. Castillo Camacho and K. Wang. In Proc. of the ACM Information Hiding and Multimedia Security Workshop, Paris, France, pp. 107-112, 2019. (ACM DL)
  • A robust local spectral descriptor for matching non-rigid shapes with incompatible shape structures. Y. Wang, J. Guo, D.-M. Yan, K. Wang, and X. Zhang. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, pp. 6231-6240, 2019. (pdf, supplemental, project page)
  • Parameterization of polylines in unorganized cross-sections and open surface reconstruction. J. Baudrillard, S. Guillon, J.-M. Chassery, M. Rombaut, and K. Wang. In Proc. of the International Conference on Curves and Surfaces, Arcachon, France, one page abstract (Poster), 2018. (pdf)
  • Reconstruction of piecewise-explicit surfaces from three-dimensional polylines: Applications in seismic interpretation in compressive domain. J. Baudrillard, S. Guillon, J.-M. Chassery, M. Rombaut, and K. Wang. In Proc. of the International Conference on Geographical Information Systems Theory, Applications and Management (Doctoral Consortium), Funchal, Portugal, pp. 1-11, 2018. (Best PhD Project Award for Joseph)
  • An effective histogram-based approach to JPEG-100 forensics. A. T. Phan Ho, K. Wang, and F. Cayre. In Proc. of the International Conference on Image Processing Theory, Tools and Applications, Oulu, Finland, pp. 1-6, 2016. (pdf)
  • General-purpose image forensics using patch likelihood under image statistical models. W. Fan, K. Wang, and F. Cayre. In Proc. of the IEEE International Workshop on Information Forensics and Security, Rome, Italy, pp. 1-6, 2015. (pdf)
  • JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics. W. Fan, K. Wang, F. Cayre, and Z. Xiong. In Proc. of the ACM International Workshop on Information Hiding and Multimedia Security, Montpellier, France, pp. 117-122, 2013. (ACM DL, Best Paper Award)
  • A variational approach to JPEG anti-forensics. W. Fan, K. Wang, F. Cayre, and Z. Xiong. In Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, pp. 3058-3062, 2013. (pdf, erratum, code)
  • A curvature tensor distance for mesh visual quality assessment. F. Torkhani, K. Wang, and J.-M. Chassery. In Proc. of the International Conference on Computer Vision and Graphics, Warsaw, Poland, pp. 253-263, Lecture Notes in Computer Science, Springer-Verlag, vol. 7594, 2012. (pdf, Best Presentation Award for Fakhri)
  • 3-D lighting-based image forgery detection using shape-from-shading. W. Fan, K. Wang, F. Cayre, and Z. Xiong. In Proc. of the European Signal Processing Conference, Bucharest, Romania, IEEE, pp. 1777-1781, 2012. (pdf)
  • Perceptual metrics for static and dynamic triangle meshes. M. Corsini, M. C. Larabi, G. Lavoué, O. Petrik, L. Vasa, and K. Wang. In Proc. of the Eurographics State-of-the-Art Reports, Cagliari, Italy, pp. 135-157, 2012. (pdf)
  • Towards perceptual quality evaluation of dynamic meshes. F. Torkhani, K. Wang, and A. Montanvert. In Proc. of the International Symposium on Applied Perception in Graphics and Visualization, Toulouse, France, one page abstract, p.116, 2011. (pdf)
  • Computing 2D periodic centroidal Voronoi tessellation. D.-M. Yan, K. Wang, B. Lévy, and L. Alonso. In Proc. of the International Symposium on Voronoi Diagrams, Qingdao, China, pp. 177-184, 2011. (pdf)
  • A benchmark for 3D mesh watermarking. K. Wang, G. Lavoué, F. Denis, A. Baskurt, and X. He. In Proc. of the Shape Modeling International, Aix-en-Provence, France, pp. 231-235, 2010. (pdf) (You are also welcome to visit our benchmark website here, binary version win32, binary version win64)
  • Blind and robust mesh watermarking using manifold harmonics. K. Wang, M. Luo, A. G. Bors, and F. Denis. In Proc. of the IEEE International Conference on Image Processing, Cairo, Egypt, pp. 3657-3660, 2009. (pdf)
  • Local patch blind spectral watermarking method for 3D graphics. M. Luo, K. Wang, A. G. Bors, and G. Lavoué. In Proc. of the International Workshop on Digital Watermarking, Surrey, UK, pp. 211-226, Lecture Notes in Computer Science, vol. 5703, Springer-Verlag, 2009. (pdf)
  • A fragile watermarking scheme for authentication of semi-regular meshes. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In Proc. of the Eurographics Short Papers, Crete, Greece, pp.5-8. 2008. (pdf)
  • Hierarchical blind watermarking of 3D triangular meshes. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In Proc. of the IEEE International Conference on Multimedia & Expo, Beijing, China, pp. 1235-1238, IEEE, 2007. (pdf)
  • Three-dimensional meshes watermarking: Review and attack-centric investigation. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In Proc. of the International Workshop on Information Hiding, Saint-Malo, France, pp. 50-64, Lecture Notes in Computer Science, vol. 4567, Springer-Verlag, 2007. (pdf)
  • SoC-PSE: A grid-based problem solving environment for SoC design. Y. Liu, K. Wang, M. Xu, J. Xu, and K. Mei. In Proc. of the International Confrence on Advanced Design and Manufacture, Harbin, China, pp. 527-530, 2006.

Local Journal Paper
  • A grid resource management for SoC design and its prototype implementation. Y. Liu, D. Zou, K. Wang, J. Xu, F. Wang, and K. Mei. Computer Engineering, vol. 31, no. 22, pp. 64-66+72, 2006. (in Chinese)

Local Conference Papers
  • A simple and effective CNN initialization for forensic detection of image processing operations. I. Castillo Camacho and K. Wang. In Proc. of the Colloque Gretsi - Communauté Francophone du Traitement du Signal et des Images, Lille, France, 2019.
  • GRAFT : Adaptation non-supervisée au re-dimensionnement pour la détection de manipulation d'image. L. Darmet, K. Wang, and F. Cayre. In Proc. of the Colloque Gretsi - Communauté Francophone du Traitement du Signal et des Images, Lille, France, 2019. (in French)
  • Modèle perceptuel pour la détection du seuil de visibilité des distorsions sur un maillage 3D. G. Nader, K. Wang, F. Hétroy-Wheeler, and F. Dupont. In Proc. of the 28èmes Journées de l’Association Française en Informatique Graphique - AFIG, Lyon, France, 2015 (in French, Third Prize of Best Paper Award)
  • Empêcher la détection criminalistique de filtrage médian en images numériques. W. Fan, K. Wang, F. Cayre, and Z. Xiong. In Proc. of the Colloque Gretsi - Communauté Francophone du Traitement du Signal et des Images, Lyon, France, 4 pages, 2015. (in French) (pdf)
  • Vers l’évaluation objective de la qualité perceptuelle de maillages 3D animés. F. Torkhani, K. Wang, and J.-M. Chassery. In Proc. of the Workshop of GTMG (Groupe de Travail en Modélisation Géométrique), Lyon, France, 5 pages, 2014. (in French) (pdf)
  • Métrique de qualité perceptuelle des maillages 3D fondée sur les tenseurs de courbure. F. Torkhani, K. Wang, and J.-M. Chassery. In Proc. of the Colloque Gretsi - Communauté Francophone du Traitement du Signal et des Images, Brest, France, 4 pages, 2013. (in French) (pdf)
  • Tatouage robuste et aveugle de maillages 3D basé sur les moments volumiques. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In Proc. of the Journées CORESA - COmpression et REprésentation des Signaux Audiovisuels, Toulouse, France, pp. 162-167, 2009. (in French)  (pdf)
  • Tatouage hiérarchique et aveugle de maillages tridimensionnels. K. Wang, G. Lavoué, F. Denis, and A. Baskurt. In Proc. of the Journées CORESA - COmpression et REprésentation des Signaux Audiovisuels, Montpellier, France, pp. 139-143, 2007. (In French)  (pdf)
  • Grid-based problem solving environment for SoC design, and design and implementation of the SoC development environment module. K. Wang, Y. Liu, M. Xu, and J. Xu. In Proc. of the High Performance Computation Application Conference, Shanghai, China, pp. 119-124, 2007. (in Chinese)

 

Thesis

  • Quantization-Based Blind Watermarking of Three-Dimensional Meshes. K. Wang, Ph.D thesis of INSA of Lyon, co-advised by Dr. Guillaume Lavoué, Dr. Florence Denis and Pr. Atilla Baskurt, 2009. (pdf)

 

Advised Ph.D. theses

  • Initialization Methods of Convolutional Neural Networks for Detection of Image Manipulations, Ivan Castillo Camacho, Ph.D. Thesis of University of Grenoble Alpes, advised by K. Wang, defended in May 2021.
  • Detection of Computer-Generated Images via Deep Learning, W. Quan, Ph.D. Thesis of University of Grenoble Alpes, co-advised by D. Pellerin, K. Wang, D.-M. Yan, and X. Zhang, defended in December 2020.
  • Towards Model-Based Flexible and Adaptive Image Forensics, L. Darmet, Ph.D. Thesis of University of Grenoble Alpes, co-advised by F. Cayre and Kai Wang, defended in December 2020. (HAL)
  • Managing Multi-Valued Horizons within a Structural Interpretation Framework, J. Baudrillard, Ph.D. Thesis of University of Grenoble Alpes, co-advised by M. Rombaut, S. Guillon, J.-M. Chassery, and Kai Wang, defended in December 2018. (HAL)
  • Evaluating the Visibility Threshold for a Local Geometric Distortion on a 3D Mesh and Its Applications, G. Nader, Ph.D. Thesis of University of Lyon, co-advised by F. Dupont, F. Hétroy-Wheeler and Kai Wang, defended in November 2016. (HAL)
  • Towards Digital Image Anti-Forensics via Image Restoration, W. Fan, Ph.D. thesis of Beihang University and University of Grenoble Alpes, co-advised by J.-M. Brossier, F. Cayre, K. Wang, and Z. Xiong, defended in November 2014 at Beihang University and in April 2015 at University of Grenoble Alpes. (HAL)
  • Analyse Subjective et Evaluation Objective de la Qualit e Perceptuelle des Maillages 3D, F. Torkhani, Ph.D. thesis of University of Grenoble Alpes, co-advised by J.-M. Chassery and K. Wang, defended in December 2014. (HAL)

 

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Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - University of Grenoble Alpes