LEADER 05778nam 22007935 450 001 9910983319103321 005 20250626164505.0 010 $a9783031730108 010 $a3031730100 024 7 $a10.1007/978-3-031-73010-8 035 $a(MiAaPQ)EBC31759799 035 $a(Au-PeEL)EBL31759799 035 $a(CKB)36532443500041 035 $a(DE-He213)978-3-031-73010-8 035 $a(EXLCZ)9936532443500041 100 $a20241110d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part LXXXIII /$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 (565 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15141 311 08$a9783031730092 311 08$a3031730097 327 $aLG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation -- Efficient Training with Denoised Neural Weights -- Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning -- Integration of Global and Local Representations for Fine-grained Cross-modal Alignment -- Local and Global Flatness for Federated Domain Generalization -- SRPose: Two-view Relative Pose Estimation with Sparse Keypoints -- Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models -- Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs -- Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. -- Implicit Neural Models to Extract Heart Rate from Video -- Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering -- PFGS: High Fidelity Point Cloud Rendering via Feature Splatting -- Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation -- E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation -- EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions -- LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement -- Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs -- Efficient Vision Transformers with Partial Attention -- Generalized Coverage for More Robust Low-Budget Active Learning -- Rasterized Edge Gradients: Handling Discontinuities Differentially -- Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment -- FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning -- LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images -- Learning Natural Consistency Representation for Face Forgery Video Detection -- ZeroI2V: Zero-Cost Adaptation of Pre-Trained Transformers from Image to Video -- Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems -- R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. 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,$x1611-3349 ;$v15141 606 $aImage processing$xDigital techniques 606 $aComputer vision 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 $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$aComputer networks. 615 0$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$aComputer Communication Networks. 615 24$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 $a9910983319103321 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNINA