LEADER 06112nam 22008535 450 001 996630861803316 005 20250626164454.0 010 $a9783031734113 010 $a3031734114 024 7 $a10.1007/978-3-031-73411-3 035 $a(MiAaPQ)EBC31790967 035 $a(Au-PeEL)EBL31790967 035 $a(CKB)36665119400041 035 $a(DE-He213)978-3-031-73411-3 035 $a(OCoLC)1474242148 035 $a(EXLCZ)9936665119400041 100 $a20241123d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part XXXII /$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 (579 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15090 311 08$a9783031734106 311 08$a3031734106 327 $aFRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation -- BugNIST - a Large Volumetric Dataset for Detection under Domain Shift -- SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis -- PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture -- PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation -- Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection -- A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks -- Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach -- HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting -- DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM -- Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction -- HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance -- Multiscale Graph Texture Network -- HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis -- Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection -- RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception -- Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation -- Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection -- CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization -- SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection -- S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition -- ?-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions -- SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing -- Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition -- Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing -- ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation -- Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos. 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,$x1611-3349 ;$v15090 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 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 $a996630861803316 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNISA