LEADER 05872nam 22008535 450 001 9910983304703321 005 20250626164224.0 010 $a9783031731952 010 $a3031731956 024 7 $a10.1007/978-3-031-73195-2 035 $a(CKB)36679820400041 035 $a(MiAaPQ)EBC31806096 035 $a(Au-PeEL)EBL31806096 035 $a(DE-He213)978-3-031-73195-2 035 $a(OCoLC)1474244462 035 $a(EXLCZ)9936679820400041 100 $a20241126d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part XLVIII /$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 (571 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15106 311 08$a9783031731945 311 08$a3031731948 327 $aSmartControl: Enhancing ControlNet for Handling Rough Visual Conditions -- InterFusion: Text-Driven Generation of 3D Human-Object Interaction -- GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval -- DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving -- Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition -- NeRF-XL: NeRF at Any Scale with Multi-GPU -- CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems -- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? -- Compositional Substitutivity of Visual Reasoning for Visual Question Answering -- LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models -- DNI: Dilutional Noise Initialization for Diffusion Video Editing -- Two-Stage Video Shadow Detection via Temporal-Spatial Adaption -- Towards Physical World Backdoor Attacks against Skeleton Action Recognition -- SAM-guided Graph Cut for 3D Instance Segmentation -- Fully Authentic Visual Question Answering Dataset from Online Communities -- Active Generation for Image Classification -- FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors -- Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes -- Understanding Multi-compositional learning in Vision and Language models via Category Theory -- FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients -- Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration -- Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image -- Diffusion-Guided Weakly Supervised Semantic Segmentation -- Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment -- When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset -- NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image -- Segment and Recognize Anything at Any Granularity. 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,$x1611-3349 ;$v15106 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 $a006.37 700 $aLeonardis$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 $a9910983304703321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA