Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXIII / / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol

• Autore: Leonardis Aleš
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (554 pages)
• Disciplina: 006.37
• Soggetto topico: Image processing - Digital techniques; Computer vision; Image processing; Computer networks; Machine learning; Computers, Special purpose; User interfaces (Computer systems); Human-computer interaction; Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing; Computer Communication Networks; Machine Learning; Special Purpose and Application-Based Systems; User Interfaces and Human Computer Interaction
• Altri autori: RicciElisa RothȘtefan RussakovskyOlga SattlerTorsten VarolGül
• Nota di contenuto: Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance -- Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation -- Think before Placement: Common Sense Enhanced Transformer for Object Placement -- Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD) -- Leveraging Imperfect Restoration for Data Availability Attack -- 3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance -- Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning -- DoubleTake: Geometry Guided Depth Estimation -- Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL -- Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting -- Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models -- Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo -- MetaWeather: Few-Shot Weather-Degraded Image Restoration -- CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance -- Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition -- HiFi-123: Towards High-fidelity One Image to 3D Content Generation -- Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View -- Good Teachers Explain: Explanation-Enhanced Knowledge Distillation -- Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation -- FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models -- Möbius Transform for Mitigating Perspective Distortions in Representation Learning -- TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection -- CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction -- SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments -- OpenDistill3D: Open-World 3D Instance Segmentation with Unified Self-Distillation for Continual Learning and Unknown Class Discovery -- DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting -- Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking.
• Sommario/riassunto: The 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.
• Titolo autorizzato: Computer Vision – ECCV 2024
• ISBN: 9783031734649; 3031734645
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996635664803316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15131