LEADER 00760nam0-2200289---450- 001 990008663520403321 005 20080526163851.0 035 $a000866352 035 $aFED01000866352 035 $a(Aleph)000866352FED01 035 $a000866352 100 $a20080526d1988----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a125 anni per l'energia$fCarlo Sicola 210 $aMilano$cRiva Calzoni$dc1988 215 $a239 p.$cill.$d32 cm 610 0 $aStoria della tecnologia 700 1$aSicola,$bCarlo$0431581 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008663520403321 952 $a6H-041$b23106$fFI1 959 $aFI1 996 $a125 anni per l'energia$9717755 997 $aUNINA LEADER 05640nam 22008295 450 001 9910983045203321 005 20250626164518.0 010 $a3-031-73033-X 024 7 $a10.1007/978-3-031-73033-7 035 $a(CKB)36443052200041 035 $a(MiAaPQ)EBC31747200 035 $a(Au-PeEL)EBL31747200 035 $a(DE-He213)978-3-031-73033-7 035 $a(OCoLC)1467873937 035 $a(EXLCZ)9936443052200041 100 $a20241031d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part LXII /$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 (583 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15120 311 08$a3-031-73032-1 327 $aGenerating Physically Realistic and Directable Human Motions from Multi-Modal Inputs -- CoTracker: It is Better to Track Together -- SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models -- PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology -- Improving Adversarial Transferability via Model Alignment -- RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios -- ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation -- Embodied Understanding of Driving Scenarios -- Learning to Drive via Asymmetric Self-Play -- OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation -- ViLA: Efficient Video-Language Alignment for Video Question Answering -- Factorizing Text-to-Video Generation by Explicit Image Conditioning -- MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices -- Open-Set Biometrics: Beyond Good Closed-Set Models -- UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening -- Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution -- Osmosis: RGBD Diffusion Prior for Underwater Image Restoration -- Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization -- Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements -- DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields -- Flowed Time of Flight Radiance Fields -- 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing -- Fast Registration of Photorealistic Avatars for VR Facial Animation -- CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings -- HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs -- Image-to-Lidar Relational Distillation for Autonomous Driving Data -- Thinking Outside the BBox: Unconstrained Generative Object Compositing. 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,$x1611-3349 ;$v15120 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 $a9910983045203321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA