Reading List of ICIP 2019
posted on June 2, 2019

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Following are selected papers of ICIP 2019:

• A 3D FACE MODELING APPROACH FOR IN-THE-WILD FACIAL EXPRESSION RECOGNITION ON IMAGE DATASETS
• A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
• A Facial Affect Analysis System for Autism Spectrum Disorder
• A MULTI-SCALE CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR FACE SKETCH SYNTHESIS
• ADVERSARIAL FACE DE-IDENTIFICATION
• BEHOLDER-GAN: GENERATION AND BEAUTIFICATION OF FACIAL IMAGES WITH CONDITIONING ON THEIR BEAUTY LEVEL
• DFT-NET: DISENTANGLEMENT OF FACE DEFORMATION AND TEXTURE SYNTHESIS FOR EXPRESSION EDITING
• FACE IT!: A PIPELINE FOR REAL-TIME PERFORMANCE-DRIVEN FACIAL ANIMATION
• GEOMETRY-AWARE GAN FOR FACE ATTRIBUTE TRANSFER
• Guided CycleGAN via Semi-Dual Optimal Transport for Photo-Realistic Face Super-resolution
• LEARNING QUATERNION GRAPH FOR COLOR FACE IMAGE SUPER-RESOLUTION
• POSE-WEIGHTED GAN FOR PHOTOREALISTIC FACE FRONTALIZATION
• PROGRESSIVE POSE NORMALIZATION GENERATIVE ADVERSARIAL NETWORK FOR FRONTAL FACE SYNTHESIS AND FACE RECOGNITION UNDER LARGE POSE
• TOWARDS EXPLAINABLE FACE AGING WITH GENERATIVE ADVERSARIAL NETWORKS
• WEAKLY-SUPERVISED CARICATURE FACE PARSING THROUGH DOMAIN ADAPTATION
• IMPROVED OPEN SET DOMAIN ADAPTATION WITH BACKPROPAGATION
• SOURCE-CONSTRAINT ADVERSARIAL DOMAIN ADAPTATION
• WEAKLY-SUPERVISED CARICATURE FACE PARSING THROUGH DOMAIN ADAPTATION
• FASTER UNSUPERVISED SEMANTIC INPAINTING: A GAN BASED APPROACH
• IMAGE INPAINTING FOR RANDOM AREAS USING DENSE CONTEXT FEATURES
• DISENTANGLED FEATURE BASED ADVERSARIAL LEARNING FOR FACIAL EXPRESSION RECOGNITION
• DUAL-STREAM SHALLOW NETWORKS FOR FACIAL MICRO-EXPRESSION RECOGNITION
• EDGE-COMPUTING CONVOLUTIONAL NEURAL NETWORK WITH HOMOGRAPHY-AUGMENTED DATA FOR FACIAL EMOTION RECOGNITION
• Expression Conditional GAN for Facial Expression-to-Expression Translation
• FACE RECOGNITION WITH DISENTANGLED FACIAL REPRESENTATION LEARNING AND DATA AUGMENTATION
• FACIAL EXPRESSION RECOGNITION WITH SKIP-CONNECTION TO LEVERAGE LOW-LEVEL FEATURES
• FACIAL EXPRESSION RECOGNITION USING ADAPTIVE ROBUST LOCAL COMPLETE PATTERN
• LEARNING SUPER-RESOLUTION COHERENT FACIAL FEATURES USING NONLINEAR MULTISET PLS FOR LOW-RESOLUTION FACE RECOGNITION
• Measuring Student Engagement Level using Facial Information
• MULTI-TASK LEARNING OF EMOTION RECOGNITION AND FACIAL ACTION UNIT DETECTION WITH ADAPTIVELY WEIGHTS SHARING NETWORK
• OUTLIER-SUPPRESSED TRIPLET LOSS WITH ADAPTIVE CLASS-AWARE MARGINS FOR FACIAL EXPRESSION RECOGNITION