LEADER 00837nam0-22003131i-450- 001 990003989520403321 005 20040109111446.0 010 $a0-89774-639-2 035 $a000398952 035 $aFED01000398952 035 $a(Aleph)000398952FED01 035 $a000398952 100 $a20040109d--------km-y0itay50------ba 101 0 $aita 200 1 $aHow to write usable user documentation$fWeiss E.H. 205 $a2 210 $aPhoenix$cOryx press$d1991 610 0 $acalcolatori 610 0 $amanuale 610 0 $aelaborazione dati 676 $a808'.066044-dc20 700 1$aWeiss,$bEdmond H.$0150690 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003989520403321 952 $a00 G1437$b467$fDETEC 959 $aDETEC 996 $aHow to write usable user documentation$9474658 997 $aUNINA LEADER 05873nam 22008295 450 001 9910983044303321 005 20250626164045.0 010 $a3-031-72698-7 024 7 $a10.1007/978-3-031-72698-9 035 $a(MiAaPQ)EBC31740218 035 $a(Au-PeEL)EBL31740218 035 $a(CKB)36393445200041 035 $a(DE-He213)978-3-031-72698-9 035 $a(OCoLC)1465273899 035 $a(EXLCZ)9936393445200041 100 $a20241025d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part XXV /$fedited by Ale? Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (572 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15083 311 08$a3-031-72697-9 327 $aVideoMamba: Spatio-Temporal Selective State Space Model -- Text to Layer-wise 3D Clothed Human Generation -- Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing -- Fully Sparse 3D Occupancy Prediction -- Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data -- CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field -- Shifted Autoencoders for Point Annotation Restoration in Object Counting -- PointLLM: Empowering Large Language Models to Understand Point Clouds -- GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections -- Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving -- Enhancing Diffusion Models with Text-Encoder Reinforcement Learning -- Asymmetric Mask Scheme for Self-Supervised Real Image Denoising -- Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation -- BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting -- Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis -- BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression -- FlexAttention for Efficient High-Resolution Vision-Language Models -- Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting -- AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation -- Spatially-Variant Degradation Model for Dataset-free Super-resolution -- DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation -- Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence -- Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation -- EAFormer: Scene Text Segmentation with Edge-Aware Transformers -- Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects -- DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration -- LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation. 330 $aThe multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29?October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15083 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aImage processing 606 $aComputer networks 606 $aMachine learning 606 $aComputers, Special purpose 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aImage Processing 606 $aComputer Communication Networks 606 $aMachine Learning 606 $aSpecial Purpose and Application-Based Systems 606 $aUser Interfaces and Human Computer Interaction 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aImage processing. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aComputers, Special purpose. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aImage Processing. 615 24$aComputer Communication Networks. 615 24$aMachine Learning. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aUser Interfaces and Human Computer Interaction. 676 $a006 700 $aLeonardis$b Ales$01757791 701 $aRicci$b Elisa$0216674 701 $aRoth$b Stefan$01224191 701 $aRussakovsky$b Olga$01767663 701 $aSattler$b Torsten$01767664 701 $aVarol$b Gül$01767665 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983044303321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA