LEADER 05776nam 22008295 450 001 9910983303103321 005 20250626163833.0 010 $a3-031-72640-5 024 7 $a10.1007/978-3-031-72640-8 035 $a(CKB)36431106900041 035 $a(MiAaPQ)EBC31743888 035 $a(Au-PeEL)EBL31743888 035 $a(DE-He213)978-3-031-72640-8 035 $a(OCoLC)1467873922 035 $a(EXLCZ)9936431106900041 100 $a20241028d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part XVI /$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 (585 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15074 311 08$a3-031-72639-1 327 $aDiffusion Model is a Good Pose Estimator from 3D RF-Vision -- UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues -- Learning 3D-aware GANs from Unposed Images with Template Feature Field -- TAPTR: Tracking Any Point with Transformers as Detection -- Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning -- Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance -- BRAVE: Broadening the visual encoding of vision-language models -- HUMOS: Human Motion Model Conditioned on Body Shape -- Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields -- MVDiffHD: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction -- FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning -- LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation -- Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation -- Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration -- CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians -- Bayesian Evidential Deep Learning for Online Action Detection -- AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation -- Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather -- Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction -- Memory-Efficient Fine-Tuning for Quantized Diffusion Model -- VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing -- MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model -- Human Hair Reconstruction with Strand-Aligned 3D Gaussians -- COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation -- SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders -- Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection -- Global-to-Pixel Regression for Human Mesh Recovery. 330 $aThe multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29?October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15074 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 $a9910983303103321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA