Full Description
This two-volume set LNCS 14233-14234 constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11-15, 2023.
The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions. The conference focuses on video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision.
Contents
Image Retrieval in Semiconductor Manufacturing.- Image Retrieval in Semiconductor Manufacturing.- Self-Similarity Block for Deep Image Denoising.- A request for clarity over the End of Sequence token in the Self-Critical Sequence Training.- Shallow camera pipeline for night photography enhancement.- GCK-Maps: a scene unbiased representation for efficient Human Action Recognition.- Autism spectrum disorder identification from visual exploration of images.- Target-Driven One-Shot Unsupervised Domain Adaptation.- Combining identity features and artifact analysis for Differential Morphing Attack Detection.- SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning.- An Effective CNN-Based Super Resolution Method for Video Coding.- Medical Transformers for Boosting Automatic Grading of Colon Carcinoma in Histological Images.- UAV Multi-Object Tracking by combining two Deep Neural Architectures.- Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall.- Towards Explainable Navigation and Recounting.- Towards facial expression robustness in multi-scale wild environments.- Depth camera face recognition by normalized fractal encodings.- Automatic Generation of Semantic Parts for Face Image Synthesis.- Improved Bilinear Pooling For Real-Time Pose Event Camera Relocalisation.- End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-based YOLO Deep Neural Network.- OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data.- UAV Multi-Object Tracking by combining two Deep Neural Architectures.- GLR: Gradient-based Learning Rate scheduler.- A Large-scale Analysis of Athletes' Cumulative Race Time in Running Events.- Uncovering Lies: Deception Detection in a Rolling-Dice Experiment.- Active Class Selection for Dataset Acquisition in Sign Language Recognition.- MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking.- A differentiable entropy model for learned image compression.- Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation.- SCENE-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements.- Not with my name! Inferring artists' names of input strings employed by Diffusion Models.- Benchmarking of Blind Video Deblurring Methods on Long Exposure and Resource Poor Settings.- LieToMe: An LSTM-based Method for Deception Detection by Hand Movements.- Spatial Transformer Generative Adversarial Network for Image Super-Resolution.- Real-Time GAN-based Model for Underwater Image Enhancement.- HERO: A Multi-Modal Approach on Mobile Devices for Visual-Aware Conversational Assistance in Industrial Domains.- A Computer Vision-Based water level monitoring system for touchless and sustainable water dispensing.- Smoothing and Transition Matrices estimation to learn with Noisy Labels.- Semi-supervised classification for Remote Sensing datasets.- Exploiting Exif Data to Improve Image Classification using Convolutional Neural Networks.- Weak Segmentation-Guided GAN for realistic color edition.- Hand Gesture Recognition exploiting Handcrafted Features and LSTM.- An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images.- Annotating the Inferior Alveolar Canal: the Ultimate Tool.- Active Class Selection for Dataset Acquisition in Sign Language Recognition.- Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach.
