LEADER 00871cam0-2200301---450- 001 990005844220403321 005 20100730093004.0 035 $a000584422 035 $aFED01000584422 035 $a(Aleph)000584422FED01 035 $a000584422 100 $a19990604d1955----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $aStoria delle corse di cavalli in Italia$fMarchese Luigi Andrea Calabrini 210 $aRoma$cColombo$d1955 215 $a830 p. , 87 tav.$cill.$d26 cm 610 0 $aCorse di cavalli$aItalia$aStoria 676 $a798.4 700 1$aCalabrini,$bLuigi Andrea$0222185 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005844220403321 952 $a798.4 CAL 1$bBIBL. 40613$fFLFBC 959 $aFLFBC 996 $aStoria delle corse di cavalli in Italia$9566303 997 $aUNINA LEADER 01582oam 2200505zu 450 001 9910146838403321 005 20241212215031.0 035 $a(CKB)111026746753222 035 $a(SSID)ssj0001120516 035 $a(PQKBManifestationID)11701739 035 $a(PQKBTitleCode)TC0001120516 035 $a(PQKBWorkID)11151126 035 $a(PQKB)10141674 035 $a(WaSeSS)IndRDA00010678 035 $a(Association for Computing Machinery)10.1145/123186 035 $a(EXLCZ)99111026746753222 100 $a20160829d1990 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of the 27th ACM/IEEE Design Automation Conference 210 31$a[Place of publication not identified]$cACM$d1990 215 $a1 online resource (742 pages) 225 1 $aACM Conferences 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780897913638 311 08$a0897913639 410 0$aACM Conferences 517 3 $aDAC '90 606 $aCivil & Environmental Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aCivil Engineering$2HILCC 615 7$aCivil & Environmental Engineering 615 7$aEngineering & Applied Sciences 615 7$aCivil Engineering 700 $aSmith$b Richard C$0129240 702 $aSmith$b Richard C 712 02$aACM Special Interest Group on Design Automation 801 0$bPQKB 906 $aBOOK 912 $a9910146838403321 996 $aProceedings of the 27th ACM$92263648 997 $aUNINA LEADER 07123nam 22008295 450 001 9910983329303321 005 20250630101934.0 010 $a981-9785-08-1 024 7 $a10.1007/978-981-97-8508-7 035 $a(CKB)36527802300041 035 $a(MiAaPQ)EBC31783169 035 $a(Au-PeEL)EBL31783169 035 $a(OCoLC)1470860732 035 $a(DE-He213)978-981-97-8508-7 035 $a(EXLCZ)9936527802300041 100 $a20241102d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition and Computer Vision $e7th Chinese Conference, PRCV 2024, Urumqi, China, October 18?20, 2024, Proceedings, Part VI /$fedited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (621 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15036 311 08$a981-9785-07-3 327 $aVisual Harmony: LLM's Power in Crafting Coherent Indoor Scenes from ImagesSuperpixel Cost Volume Excitation for Stereo MatchingMulti-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction3D Data Augmentation for Driving Scenes on CameraA Pose-Aware Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from Partial Point CloudsEfficient Emotional Talking Head Generation via Dynamic 3D Gaussian RenderingGeneralizable Geometry-aware Human Radiance Modeling from Multi-view ImagesAG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene RenderingJPA: A Joint-Part Attention for Mitigating Overfocusing on 3D Human Pose EstimationRealistic and Visually-pleasing 3D Generation of Indoor Scenes from a Single ImageAttenPoint: Exploring Point Cloud Segmentation through Attention-Based ModulesMTFusion: Reconstructing Any 3D Object from Single Image Using Multi-Word Textual InversionMulti-view 3D Reconstruction by Fusing Polarization InformationQuat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood GraphsDisparity Refinement Based on Cross-Modal Feature Fusion and Global Hourglass Aggregation for Robust Stereo Matching -- Trajectory-based Calibration for Optical See-Through Head-Mounted Displays without Alignment -- Animatable Human Rendering from Monocular Video via Pose-Independent Deformation -- Maximum Spanning Tree for 3D Point Cloud RegistrationLearning the Dynamic Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation -- MaskEditor: Instruct 3D Object Editing with Learned MasksDyGASR: Dynamic Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction -- MMIDM:Generating 3D Gesture from Multimodal Inputs with Diffusion Models -- Discriminative-guided Diffusion-based Self-supervised Monocular Depth Estimation -- Multiview Light Field Angular Super-Resolution based on View Alignment and Frequency Attention -- MagicGS: Combining 2D and 3D Priors for Effective 3D Content Generation -- ESD-Pose: Enhanced Semantic Discrimination for Generalizable 6D Pose EstimationTrans-DONeRF for Transparent Object Rendering with Mixed Depth Prior -- SFDNeRF: A Semantic Feature-Driven Few-Shot Neural Radiance Field Framework with Hybrid Regularization -- TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation -- Decomposed Latent Diffusion Model for 3D Point Cloud Generation -- Learning Multi-Branch Attention Networks for 3D Face Reconstruction -- CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object DetectionCross Modality Fusion Network with Feature Alignment and Salient Object Exchange for Single Image 3D Shape Retrieval -- Enhanced Spatial Adaptive Fusion Network For Video Super-ResolutionMulti-3D Occlusion Mask Learning for Flexible Occlusion Removal in Neural Radiance Fields -- Sketch-Based 3D Shape Retrieval via Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty Regularization -- Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution -- SDFReg: Learning Signed Distance Functions for Point Cloud Registration -- Unfolding Gradient Graph Regularization for Point Cloud Color Denoising -- ER-SFM: EFFICIENT AND ROBUST CLUSTER-BASED STRUCTURE FROM MOTION -- Multimodal Token Fusion and Optimization for 3D Human Mesh Reconstruction with Transformers. 330 $aThis 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18?20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15036 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aApplication software 606 $aComputer networks 606 $aComputer systems 606 $aMachine learning 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aMachine Learning 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aMachine learning. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aMachine Learning. 676 $a006.37 700 $aLin$b Zhouchen$0908694 701 $aCheng$b Ming-Ming$01782756 701 $aHe$b Ran$0929219 701 $aUbul$b Kurban$01782757 701 $aSilamu$b Wushouer$01782758 701 $aZha$b Hongbin$01586081 701 $aZhou$b Jie$0671967 701 $aLiu$b Cheng-Lin$0861045 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983329303321 996 $aPattern Recognition and Computer Vision$94309254 997 $aUNINA