LEADER 05969nam 22008415 450 001 9910983385603321 005 20250626164339.0 010 $a9783031731136 010 $a3031731131 024 7 $a10.1007/978-3-031-73113-6 035 $a(MiAaPQ)EBC31789212 035 $a(Au-PeEL)EBL31789212 035 $a(CKB)36639710400041 035 $a(DE-He213)978-3-031-73113-6 035 $a(EXLCZ)9936639710400041 100 $a20241120d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part LXVIII /$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 ;$v15126 311 08$a9783031731129 311 08$a3031731123 327 $aReinforcement Learning Friendly Vision-Language Model for Minecraft -- Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation -- Training-free Composite Scene Generation for Layout-to-Image Synthesis -- Robustness Preserving Fine-tuning using Neuron Importance -- ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation -- PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation -- Similarity of Neural Architectures using Adversarial Attack Transferability -- Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers -- PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation -- OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web -- AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering -- Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models -- Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks -- Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation -- MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos -- Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement -- Scene-Conditional 3D Object Stylization and Composition -- GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning -- Revisit Anything: Visual Place Recognition via Image Segment Retrieval -- EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching -- DGD: Dynamic 3D Gaussians Distillation -- Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation -- DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation -- Self-Guided Generation of Minority Samples Using Diffusion Models -- DEVIAS: Learning Disentangled Video Representations of Action and Scene -- AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset -- RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting. 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,$x1611-3349 ;$v15126 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 $a9910983385603321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA