LEADER 05793nam 22008535 450 001 9910983351103321 005 20250626164239.0 010 $a9783031729737 010 $a3031729730 024 7 $a10.1007/978-3-031-72973-7 035 $a(MiAaPQ)EBC31749020 035 $a(Au-PeEL)EBL31749020 035 $a(CKB)36479396200041 035 $a(DE-He213)978-3-031-72973-7 035 $a(OCoLC)1467875350 035 $a(EXLCZ)9936479396200041 100 $a20241101d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part L /$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 (569 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15108 311 08$a9783031729720 311 08$a3031729722 327 $aRevisit Human-Scene Interaction via Space Occupancy -- Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control -- WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model -- Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning -- Mitigating Background Shift in Class-Incremental Semantic Segmentation -- Relation DETR: Exploring Explicit Position Relation Prior for Object Detection -- BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation -- Agent Attention: On the Integration of Softmax and Linear Attention -- Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion -- Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors -- Object-Oriented Anchoring and Modal Alignment in Multimodal Learning -- Towards Stable 3D Object Detection -- FYI: Flip Your Images for Dataset Distillation -- On-the-fly Category Discovery for LiDAR Semantic Segmentation -- Dual-Camera Smooth Zoom on Mobile Phones -- ProtoComp: Diverse Point Cloud Completion with Controllable Prototype -- CONDA: Condensed Deep Association Learning for Co-Salient Object Detection. -- Cascade Prompt Learning for Visual-Language Model Adaptation -- PolyRoom: Room-aware Transformer for Floorplan Reconstruction -- BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models -- SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution -- HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras -- Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation -- Customized Generation Reimagined: Fidelity and Editability Harmonized -- AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors -- Improving Video Segmentation via Dynamic Anchor Queries -- Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. 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,$x1611-3349 ;$v15108 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 $a9910983351103321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA