Image Analysis and Processing - ICIAP 2023 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part I / [electronic resource] :
edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock.
- 1st ed. 2023.
- XXI, 567 p. 173 illus., 159 illus. in color. online resource.
- Lecture Notes in Computer Science, 14233 1611-3349 ; .
- Lecture Notes in Computer Science, 14233 .
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.
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. .
9783031431487
10.1007/978-3-031-43148-7 doi
Computer engineering.
Computer networks .
Machine learning.
Education--Data processing.
Pattern recognition systems.
Computer Engineering and Networks.
Machine Learning.
Computers and Education.
Automated Pattern Recognition.
TK7885-7895 TK5105.5-5105.9
621.39 004.6
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.
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. .
9783031431487
10.1007/978-3-031-43148-7 doi
Computer engineering.
Computer networks .
Machine learning.
Education--Data processing.
Pattern recognition systems.
Computer Engineering and Networks.
Machine Learning.
Computers and Education.
Automated Pattern Recognition.
TK7885-7895 TK5105.5-5105.9
621.39 004.6