LEADER 00868nam a2200241 i 4500 001 991002359039707536 005 20020507163035.0 008 000310s1976 it ||| | ita 035 $ab1164574x-39ule_inst 035 $aLE02735286$9ExL 040 $aDip.to Studi Giuridici$bita 084 $aPEN-VI/A 100 1 $aDurigato, Lauretta$0224999 245 14$aUno studio di diritto penale socialista /$cLauretta Durigato 260 $aPadova :$bCEDAM,$c1976 300 $a129 p. ;$c25 cm. 490 0 $aCollana di studi penalistici. N.S. ;$v14 907 $a.b1164574x$b01-03-17$c02-07-02 912 $a991002359039707536 945 $aLE027 PEN-VI/A 7$g1$iLE027I-3091$lle027$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11869768$z02-07-02 996 $aStudio di diritto penale socialista$9585944 997 $aUNISALENTO 998 $ale027$b01-01-00$cm$da $e-$fita$git $h4$i1 LEADER 05816nam 22008295 450 001 9910983489903321 005 20250626164030.0 010 $a3-031-73337-1 024 7 $a10.1007/978-3-031-73337-6 035 $a(CKB)36443052400041 035 $a(MiAaPQ)EBC31747206 035 $a(Au-PeEL)EBL31747206 035 $a(DE-He213)978-3-031-73337-6 035 $a(OCoLC)1467875289 035 $a(EXLCZ)9936443052400041 100 $a20241031d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part XXIII /$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 (581 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15081 311 08$a3-031-73336-3 327 $aWeak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection -- Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction -- CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images -- Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation -- Uni3DL: A Unified Model for 3D Vision-Language Understanding -- Object-Aware NIR-to-Visible Translation -- PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference -- GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator -- BLINK: Multimodal Large Language Models Can See but Not Perceive -- AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation -- PreLAR: World Model Pre-training with Learnable Action Representation -- Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot -- De-confounded Gaze Estimation -- Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions -- FreestyleRet: Retrieving Images from Style-Diversified Queries -- ReGround: Improving Textual and Spatial Grounding at No Cost -- CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos -- LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction -- Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement -- Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders -- VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network -- Dataset Enhancement with Instance-Level Augmentations -- FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models -- Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild -- Reliability in Semantic Segmentation: Can We Use Synthetic Data? -- SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning -- SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. 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,$x1611-3349 ;$v15081 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aImage processing 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 $aImage Processing 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$aImage processing. 615 0$aComputer networks. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aMachine learning. 615 0$aComputers, Special purpose. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aImage Processing. 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 $a006.37 700 $aLeonardis$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 $a9910983489903321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA