Technical Program

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WP.P8: Visual Forensics II

Session Type: Poster
Time: Wednesday, October 10, 14:10 - 15:50
Location: Poster Area 8
Session Chair: Nasir Memon, NYU Tandon School of Engineering
 
 WP.P8.1: IMAGE SPLICING DETECTION THROUGH ILLUMINATION INCONSISTENCIES AND DEEP LEARNING
         Thales Pomari; Federal Institute of São Paulo
         Guillherme Ruppert; CTI Renato Archer
         Edmar Rezende; University of Campinas
         Anderson Rocha; University of Campinas
         Tiago Carvalho; Federal Institute of São Paulo
 
 WP.P8.2: SPARSE TIKHONOV-REGULARIZED HASHING FOR MULTI-MODAL LEARNING
         Lei Tian; Beijing University of Posts and Telecommunications; University of Oulu
         Xiaopeng Hong; University of Oulu
         Chunxiao Fan; Beijing University of Posts and Telecommunications
         Yue Ming; Beijing University of Posts and Telecommunications
         Matti Pietikäinen; University of Oulu
         Guoying Zhao; University of Oulu
 
 WP.P8.3: TOWARDS CAMERA IDENTIFICATION FROM CROPPED QUERY IMAGES
         Waheeb Yaqub; New York University Abu Dhabi
         Manoranjan Mohanty; The University of Auckland
         Nasir Memon; New York University
 
 WP.P8.4: CNN-BASED DETECTION OF GENERIC CONTRAST ADJUSTMENT WITH JPEG POST-PROCESSING
         Mauro Barni; University of Siena
         Andrea Costanzo; University of Siena
         Ehsan Nowroozi; University of Siena
         Benedetta Tondi; University of Siena
 
 WP.P8.5: COPY SENSITIVE GRAPHICAL CODE QUALITY IMPROVEMENT USING A SUPER-RESOLUTION TECHNIQUE
         Iuliia Tkachenko; Laboratory Hubert Curien
         Florentin Kucharczak; Laboratory LIRMM
         Christophe Destruel; Laboratory LIRMM
         Olivier Strauss; Laboratory LIRMM
         William Puech; Laboratory LIRMM
 
 WP.P8.6: DETECTING DOUBLE JPEG COMPRESSION WITH SAME QUANTIZATION MATRIX BASED ON DENSE CNN FEATURE
         Xiaosa Huang; Shanghai Jiao Tong University
         Shilin Wang; Shanghai Jiao Tong University
         Gongshen Liu; Shanghai Jiao Tong University