LEADER 00974nam0-22002891i-450- 001 990004059740403321 005 20070914093045.0 035 $a000405974 035 $aFED01000405974 035 $a(Aleph)000405974FED01 035 $a000405974 100 $a19990604d1984----km-y0itay50------ba 101 0 $aita 105 $ay-------00-y- 200 1 $aAspettative, dispensa dal servizio e utilizzazione in altri compiti del personale ispettivo, direttivo e docente$fGiuseppe Richichi 210 $aRoma$cArmando$d1984 215 $a88 p.$d19 cm 225 1 $aLegislazione scolastica ed educazione civica 676 $a344.07 700 1$aRichichi,$bGiuseppe$0155962 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004059740403321 952 $a344.07 RIC 1$bBIBL.2985$fFLFBC 959 $aFLFBC 996 $aAspettative, dispensa dal servizio e utilizzazione in altri compiti del personale ispettivo, direttivo e docente$9469583 997 $aUNINA LEADER 05094nam 22007215 450 001 9910999674403321 005 20250426124718.0 010 $a981-9658-15-2 024 7 $a10.1007/978-981-96-5815-2 035 $a(CKB)38641809900041 035 $a(DE-He213)978-981-96-5815-2 035 $a(MiAaPQ)EBC32029725 035 $a(Au-PeEL)EBL32029725 035 $a(EXLCZ)9938641809900041 100 $a20250426d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Visual Media $e13th International Conference, CVM 2025, Hong Kong SAR, China, April 19?21, 2025, Proceedings, Part III /$fedited by Piotr Didyk, Junhui Hou 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XVII, 458 p. 162 illus., 157 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15665 311 08$a981-9658-14-4 327 $aImage and Video Analysis DepthFisheye: Efficient Fine-Tuning of Depth Estimation Models for Fisheye Cameras -- DIMATrack: Dimension Aware Data Association for Multi-Object Tracking -- Efficient Transformer Network for Visible and Ultraviolet Object Tracking -- LightGR-Transformer: Light Grouped Residual Transformer for Multispectral Object Detection -- ADMMOA: Attribute-Driven Multimodal Optimization for Face Recognition Adversarial Attacks -- Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring -- Multimodal Learning Reinforced Label Denoising for Weakly-Supervised Audio-Visual Video Parsing -- Bridging the Modality Gap: Advancing Multimodal Human Pose Estimation with Modality-Adaptive Pose Estimator and Novel Benchmark Datasets -- Momentum-Based Uni-Modal Soft-Label Alignment and Multi-Modal Latent Projection Networks for Optimizing Image-Text Retrieval -- Multi-Granularity and Multi-Modal Prompt Learning for Person Re-Identification -- Local and Global Feature Cross-attention Multimodal Place Recognition -- IML-CMM - A Multimodal Sentiment Analysis Framework Integrating Intra-Modal Learning and Cross-Modal Mixup Enhancement -- Geometrical Processing MCFG with GUMAP: A Simple and Effective Clustering Framework on Grassmann Manifold -- Joint UMAP for Visualization of Time-Dependent Data -- Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space -- Applications Learning Adaptive Basis Fonts to Fuse Content Features for Few-shot Font Generation -- TaiCrowd: A High-Performance Simulation Framework for Massive Crowd.-Feature Disentanglement and Fusion Model for Multi-Source Domain Adaptation with Domain-Specific Features -- A Trademark Retrieval Method Based on Self-Supervised Learning -- Weaken Noisy Feature: Boosting Semi-Supervised Learning by Noise Estimation -- Multi-Dimension Full Scene Integrated Visual Emotion Analysis Network -- Gap-KD: Bridging the Significant Capacity Gap Between Teacher and Student Model. 330 $aThis book constitutes the refereed proceedings of CVM 2025, the 13th International Conference on Computational Visual Media, held in Hong Kong SAR, China, in April 2025. The 67 full papers were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections as follows: Part I: Medical Image Analysis, Detection and Recognition, Image Enhancement and Generation, Vision Modeling in Complex Scenarios Part II: 3D Geometry and Rendering, Generation and Editing, Image Processing and Optimization Part III: Image and Video Analysis, Multimodal Learning, Geometrical Processing, Applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15665 606 $aComputer vision 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer graphics 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aComputer Graphics 606 $aArtificial Intelligence 606 $aAlgorithms 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 0$aComputer graphics. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Graphics. 615 24$aArtificial Intelligence. 615 24$aAlgorithms. 676 $a006.37 702 $aDidyk$b Piotr$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHou$b Junhui$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999674403321 996 $aComputational visual media$92120936 997 $aUNINA