Image Analysis and Processing - ICIAP 2023 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part II / [electronic resource] :
edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock.
- 1st ed. 2023.
- XXI, 569 p. 242 illus., 180 illus. in color. online resource.
- Lecture Notes in Computer Science, 14234 1611-3349 ; .
- Lecture Notes in Computer Science, 14234 .
Buffer-MIL: Robust Multi-instance Learning with a Buffer-based Approach -- Quasi-Online Detection of Take and Release Actions from Egocentric Videos -- Hashing for Structure-based Anomaly Detection -- Augmentation based on artificial occlusions for resilient instance segmentation -- Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations -- VM-NeRF: Tackling Sparsity in NeRF with View Morphing -- MOVING: a MOdular and flexible platform for embodied VIsual NaviGation -- Evaluation of 3D reconstruction pipelines under varying imaging conditions -- CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components -- Obstacle Avoidance and Interaction in Extended Reality: An Approach based on 3D Object Detection -- HMPD: a novel dataset for microplastics classification with digital holography -- Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images -- Many-to-Many metrics: a new approach to evaluate the performance of structural damage detection networks -- Deepfakes Audio Detection leveraging audio spectrogram and Convolutional Neural Networks -- A deep Natural Language Inference predictor without language-specific training data -- Time-aware Circulant Matrices for Question-based Temporal Localization -- Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval -- Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution -- Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology -- On using rPPG signals for DeepFake detection: a cautionary note -- An unsupervised learning approach to resolve phenotype to genotype mapping in budding yeasts vacuoles -- Food image classification: the benefit of in-domain transfer learning -- LCMV: Lightweight Classification Module for Video Domain Adaptation -- FEAD-D: Facial Expression Analysis in Deepfake Detection -- Large Class Separation is not what you need for Relational Reasoning-based OOD Detection -- BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting -- Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble -- BHAC-MRI: Backdoor & Hybrid Attacks on MRI Brain Tumor Classification Using CNN -- Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis -- Extrinsic Calibration of Multiple Depth Cameras for 3D Face Reconstruction -- A Deep Learning based Approach for Synthesizing Realistic Depth Maps -- Specialise to Generalise: the Person Re-identification Case -- Enhancing Hierarchical Vector Quantized Autoencoders for Image Synthesis through Multiple Decoders -- Dynamic Local Filters in Graph Convolutional Neural Networks -- An AI-Driven Prototype for Groundwater Level Prediction: Exploring the Gorgovivo Spring Case Study -- DiffDefense: Defending against Adversarial Attacks via Diffusion Models -- Exploring Audio Compression as Image Completion in Time-Frequency Domain -- Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching -- CISPc: Embedding images and point clouds in a joint concept space by contrastive learning -- Budget-Aware Pruning for Multi-Domain Learning -- Sparse Double Descent in Vision Transformers: real or phantom threat? -- Video Sonification to Support Visually Impaired People: the VISaVIS approach -- Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training -- The Specchieri MarVen Dataset: an Abbreviation-rich Dataset in Venetian Idiom -- Compensation for Patient Movements in CBCT Imaging for Dental Applications -- Spatial Exploration Indicators in the Remote Assessment of Visual Neglect.
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. .
9783031431531
10.1007/978-3-031-43153-1 doi
Computer vision.
Pattern recognition systems.
Computer engineering.
Computer networks .
Machine learning.
Education--Data processing.
Computer Vision.
Automated Pattern Recognition.
Computer Engineering and Networks.
Machine Learning.
Computers and Education.
TA1634
006.37
Buffer-MIL: Robust Multi-instance Learning with a Buffer-based Approach -- Quasi-Online Detection of Take and Release Actions from Egocentric Videos -- Hashing for Structure-based Anomaly Detection -- Augmentation based on artificial occlusions for resilient instance segmentation -- Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations -- VM-NeRF: Tackling Sparsity in NeRF with View Morphing -- MOVING: a MOdular and flexible platform for embodied VIsual NaviGation -- Evaluation of 3D reconstruction pipelines under varying imaging conditions -- CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components -- Obstacle Avoidance and Interaction in Extended Reality: An Approach based on 3D Object Detection -- HMPD: a novel dataset for microplastics classification with digital holography -- Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images -- Many-to-Many metrics: a new approach to evaluate the performance of structural damage detection networks -- Deepfakes Audio Detection leveraging audio spectrogram and Convolutional Neural Networks -- A deep Natural Language Inference predictor without language-specific training data -- Time-aware Circulant Matrices for Question-based Temporal Localization -- Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval -- Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution -- Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology -- On using rPPG signals for DeepFake detection: a cautionary note -- An unsupervised learning approach to resolve phenotype to genotype mapping in budding yeasts vacuoles -- Food image classification: the benefit of in-domain transfer learning -- LCMV: Lightweight Classification Module for Video Domain Adaptation -- FEAD-D: Facial Expression Analysis in Deepfake Detection -- Large Class Separation is not what you need for Relational Reasoning-based OOD Detection -- BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting -- Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble -- BHAC-MRI: Backdoor & Hybrid Attacks on MRI Brain Tumor Classification Using CNN -- Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis -- Extrinsic Calibration of Multiple Depth Cameras for 3D Face Reconstruction -- A Deep Learning based Approach for Synthesizing Realistic Depth Maps -- Specialise to Generalise: the Person Re-identification Case -- Enhancing Hierarchical Vector Quantized Autoencoders for Image Synthesis through Multiple Decoders -- Dynamic Local Filters in Graph Convolutional Neural Networks -- An AI-Driven Prototype for Groundwater Level Prediction: Exploring the Gorgovivo Spring Case Study -- DiffDefense: Defending against Adversarial Attacks via Diffusion Models -- Exploring Audio Compression as Image Completion in Time-Frequency Domain -- Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching -- CISPc: Embedding images and point clouds in a joint concept space by contrastive learning -- Budget-Aware Pruning for Multi-Domain Learning -- Sparse Double Descent in Vision Transformers: real or phantom threat? -- Video Sonification to Support Visually Impaired People: the VISaVIS approach -- Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training -- The Specchieri MarVen Dataset: an Abbreviation-rich Dataset in Venetian Idiom -- Compensation for Patient Movements in CBCT Imaging for Dental Applications -- Spatial Exploration Indicators in the Remote Assessment of Visual Neglect.
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. .
9783031431531
10.1007/978-3-031-43153-1 doi
Computer vision.
Pattern recognition systems.
Computer engineering.
Computer networks .
Machine learning.
Education--Data processing.
Computer Vision.
Automated Pattern Recognition.
Computer Engineering and Networks.
Machine Learning.
Computers and Education.
TA1634
006.37