LEADER 01058nam a2200241 i 4500 001 991001835979707536 005 20020502205442.0 008 961001s1990 it ||| | ita 035 $ab10918528-39ule_inst 035 $aLE02378119$9ExL 040 $aDip.to Studi Storici$bita 082 0 $a336 100 1 $aCaleffi, Franco$0115345 245 10$aTrattamento convenzionale dei dividendi, interessi e royalties :$banalisi e procedure di applicazione /$cFranco Caleffi, Michele del Giudice ; prefazione di Giuliano Segre 260 $aMilano :$bIl sole-24 ore libri,$c1990 300 $a196 p. ;$c30 cm. 700 1 $aDel Giudice, Michele$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0128851 907 $a.b10918528$b16-11-09$c28-06-02 912 $a991001835979707536 945 $aLE023 336 CAL 1 1 $g1$i2023000112571$lle023$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11022723$z28-06-02 996 $aTrattamento convenzionale dei dividendi, interessi e royalties$9454795 997 $aUNISALENTO 998 $ale023$b01-01-96$cm$da $e-$fita$git $h0$i1 LEADER 05485nam 22007815 450 001 9910983034603321 005 20250626164227.0 010 $a3-031-73016-X 024 7 $a10.1007/978-3-031-73016-0 035 $a(MiAaPQ)EBC31741700 035 $a(Au-PeEL)EBL31741700 035 $a(CKB)36403325500041 035 $a(DE-He213)978-3-031-73016-0 035 $a(OCoLC)1465269617 035 $a(EXLCZ)9936403325500041 100 $a20241026d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part LXXXVI /$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 (555 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15144 311 08$a3-031-73015-1 327 $aSpline-based Transformers -- Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion -- TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly -- SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data -- Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models -- Adversarial Diffusion Distillation -- Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection -- Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts -- Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation -- A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis -- Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models -- Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information -- Improving Diffusion Models for Authentic Virtual Try-on in the Wild -- Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models -- LISO: Lidar-only Self-Supervised 3D Object Detection -- Text-Conditioned Resampler For Long Form Video Understanding -- Implicit Steganography Beyond the Constraints of Modality -- Using My Artistic Style? You Must Obtain My Authorization -- LookupViT: Compressing visual information to a limited number of tokens -- Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation -- UMERegRobust ? Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration -- Non-transferable Pruning -- A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis -- Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations -- Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning -- Affine steerers for structured keypoint description. 330 $aThe multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29?October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15144 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer networks 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aMachine learning 606 $aComputers, Special purpose 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Communication Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aMachine Learning 606 $aSpecial Purpose and Application-Based Systems 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer networks. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aMachine learning. 615 0$aComputers, Special purpose. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Communication Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aMachine Learning. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a006 700 $aLeonardis$b Ales?$01757791 701 $aRicci$b Elisa$0216674 701 $aRoth$b S?tefan$00 701 $aRussakovsky$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 $a9910983034603321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA