LEADER 01970oam 2200565M 450 001 9910716232903321 005 20200213070521.9 035 $a(CKB)5470000002519798 035 $a(OCoLC)1065809175 035 $a(OCoLC)995470000002519798 035 $a(EXLCZ)995470000002519798 100 $a20071213d1926 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOwners of cargo aboard the steamship "Oconee." April 2, 1926. -- Ordered to be printed 210 1$a[Washington, D.C.] :$c[U.S. Government Printing Office],$d1926. 215 $a1 online resource (3 pages) 225 1 $aSenate report / 69th Congress, 1st session. Senate ;$vno. 529 225 1 $a[United States congressional serial set ] ;$v[serial no. 8527] 300 $aBatch processed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aFDLP item number not assigned. 606 $aMalicious mischief 606 $aVandalism 606 $aFreight and freightage 606 $aFreight and freightage$xAwards 606 $aInsurance companies 606 $aGovernment liability (International law) 606 $aClaims 606 $aCollisions at sea 608 $aLegislative materials.$2lcgft 615 0$aMalicious mischief. 615 0$aVandalism. 615 0$aFreight and freightage. 615 0$aFreight and freightage$xAwards. 615 0$aInsurance companies. 615 0$aGovernment liability (International law) 615 0$aClaims. 615 0$aCollisions at sea. 701 $aMeans$b Rice William$f1877-1949$pRepublican (CO)$01386800 801 0$bWYU 801 1$bWYU 801 2$bOCLCO 801 2$bOCLCQ 906 $aBOOK 912 $a9910716232903321 996 $aOwners of cargo aboard the steamship "Oconee." April 2, 1926. -- Ordered to be printed$93451632 997 $aUNINA LEADER 07193nam 22006375 450 001 9911046534303321 005 20251101120421.0 010 $a9789819533985$b(electronic bk.) 010 $z9789819533978 024 7 $a10.1007/978-981-95-3398-5 035 $a(MiAaPQ)EBC32384881 035 $a(Au-PeEL)EBL32384881 035 $a(CKB)41996879500041 035 $a(DE-He213)978-981-95-3398-5 035 $a(EXLCZ)9941996879500041 100 $a20251101d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImage and Graphics $e13th International Conference, ICIG 2025, Xuzhou, China, October 31?November 2, 2025, Proceedings, Part I /$fedited by Zhouchen Lin, Liang Wang, Yugang Jiang, Xuesong Wang, Shengcai Liao, Shiguang Shan, Risheng Liu, Jing Dong, Xin Yu 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (935 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16161 311 08$aPrint version: Lin, Zhouchen Image and Graphics Singapore : Springer,c2025 9789819533978 327 $aPart 1 ?Artificial Intelligence: -- SRG-Net: Semantic Relation-Guided Network for Commonsense Video Captioning. -- EAANet: Edge-Aware Attention Network for Real-Time Road Scene Understanding. -- Learning A Decomposition-Driven Two Stages Unfolding Artifact Removal Network for Compressed Images. -- Martingale-Based Skin Lesion Segmentation from Dermoscopic Images. -- Research on Adaptive Multi-layer Multi-pass Welding Technology for Medium-Thick Plates. -- M³E: Mixture of Multi-scale Multi-modal Experts for Time Series Forecasting. -- PoseCLR Bridging 2D and 3D Pose Representations via Contrastive Learning for Action Recognition. -- Art3D-Fusion: A Hybrid Framework for Visual Synthesis with Artistic Control. -- Lesion Localization Prior-Driven Few-Shot Learning for Branch Atheromatous Disease Diagnosis. -- Deep Multi-Sentence Aligned Cross-Modal Retrieval. -- Single-Layer Denoising Taylorformer for UAV Nighttime Tracking. -- Position-Aware Text-to-Image Generation with Efficient Controllability. -- Introducing DINOv2 for Medical Image Boundary Tracking. -- Adaptive Pruning and Cross-Domain Feature Fusion for Robust Object Tracking. -- Data Leakage Detection in Large Vision-Language Models via Multimodal Perturbation. -- A Novel Dual-Branch Cross-Attention Transformer Network for Low-Dose CT Denoising. -- TCGFNet: Multi-Scale Transformer-Convolution with Geometry-Guided Feedback for Robust Point Cloud Denoising. -- Adversarial Iterative Pre-Enactment Framework for Air Combat Based on Mental Simulation Theory. -- SA-Pillar: Structure-Aware Feature Learning for Real-Time 3D Object Detection. -- Knowledge-aware Intent Subgraph Learning for Recommendation. -- PF-DETR:Enhanced DETR with Pre-Encoded Feature Fusion for Small and Multi-Scale Object Detection in UAV Imagery. -- Selective Labeling for 3D Shape Label Transfer based on Local-Global Features. -- Part 2 ?Biological and Medical Image Processing: -- MAA-Net: A Multi-Attention Aggregation Network for Segmentation of Key Structures in Microvascular Decompression. -- Contrastive Hierarchical Graph based Multiple Instance Learning for Fundus Screening -- Polyp Segmentation based on Edge Guidance. -- A Deep Unfolding based on U-Net Graph-Guided Hybrid Regularization method for Bioluminescence Tomography. -- CMambaR: Cardiac Phase Embedded Vision Mamba for Accelerating Cardiac MRI Reconstruction. -- SC-DSE-nnUNet: An Efficient Hippocampus MRI Segmentation Method. -- Spatiotemporal Feature Fusion for Glioblastoma Recurrence Prediction Using Mamba-Based Dual-Stream Framework. -- Automatic and Fast Segmentation of Cochlear Implant-Induced Artifacts in MR Images Using Deep Learning. -- Part 3 ?Color and Multispectral Processing: -- End-to-End Diffusion Models with Physics Priors for Enhanced Spectral Super-Resolution. -- Asymmetric Dual-Teacher Guided Knowledge Distillation for HSI-SR with Reconstructed Features. -- Gradient-based multi-focus image fusion with focus-aware saliency enhancement. -- OME-Net: Optimization-inspired Multi-domain Enhanced Network for Image Compressed Sensing Reconstruction. -- Part 4 ?Compression, Transmission, Retrieval: -- MARSNet: Scalable Deep Coding of LiDAR Point Clouds via Multimodal and Residual Learning. -- Accelerating Learned Video Compression via Low-Resolution Representation Learning. -- Optical Flow-driven Fast CU Partition for Inter Prediction in Versatile Video Coding. -- Semantic Maintained Video Compression by Background Blurring in Surveillance Scenarios. -- Learning Based Fast Coding Unit Decision for Video-based Point Cloud Compression. -- Part 5 ?Computational Imaging: -- Leveraging a Dual-Learning Methodology Based on Degradation Modeling and Fractional Fourier Image Transformer for Light Field Image Super-Resolution. -- Video Stabilization Based on MeshFlow Motion Model in Dynamic and Complex Scenes. Dual-Edge Consistency Constrained Unfolding Network for Depth Map Super-Resolution. -- Part 6 ?Computer Graphics and Visualization: -- Isotropic Remeshing with Inter-Angle Optimization. -- AlignMR: Design of a Home Yoga Self Learning System Based on MR Technology. -- Bi-IRNet: A Transformer-based Binaural Impulse Response Generation Guidance Model. 330 $aThe three-volume set constitutes the proceedings of the 13th International Conference on Image and Graphics, ICIG 2025, held in Xuzhou, China, during October 31?November 2, 2025. The 138 full papers presented in this book were carefully selected and reviewed from 420 submissions. These papers have been organized in the following topical sections: Artificial intelligence, Machine learning, Computer vision, pattern Recognition, Rendering, Image manipulation, Graphics systems and interfaces, Image compression, Shape modeling, Biometrics, Scene understanding, Vision for robotics, Scene anomaly detection, Activity recognition and understanding, Feature selection. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16161 606 $aComputer vision 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aComputer engineering 606 $aComputer networks 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aComputer Engineering and Networks 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Engineering and Networks. 676 $a006.37 700 $aLin$b Zhouchen$0908694 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911046534303321 996 $aImage and Graphics$94466409 997 $aUNINA