Image analysis and processing -- ICIAP 2023 : Part II / 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings. Gian Luca Foresti, Andrea Fusiello, Edwin Hancock, editors.

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 selec...

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Bibliographic Details
Corporate Author: International Conference on Image Analysis and Processing Udine, Italy
Other Authors: Foresti, Gian Luca, 1965- (Editor), Fusiello, Andrea (Editor), Hancock, Edwin R. (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Series:Lecture notes in computer science ; 14234.
Subjects:
Online Access:Click for online access
Table of Contents:
  • 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.