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



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Autore: Leonardis Aleš Visualizza persona
Titolo: Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VI / / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (580 pages)
Disciplina: 006
Soggetto topico: Image processing - Digital techniques
Computer vision
Image processing
Computer networks
User interfaces (Computer systems)
Human-computer interaction
Machine learning
Computers, Special purpose
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing
Computer Communication Networks
User Interfaces and Human Computer Interaction
Machine Learning
Special Purpose and Application-Based Systems
Altri autori: RicciElisa  
RothȘtefan  
RussakovskyOlga  
SattlerTorsten  
VarolGül  
Nota di contenuto: Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal -- Unsupervised Moving Object Segmentation with Atmospheric Turbulence -- AccDiffusion: An Accurate Method for Higher-Resolution Image Generation -- Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer -- CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering -- MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping -- Image Demoireing in RAW and sRGB Domains -- LiDAR-Event Stereo Fusion with Hallucinations -- X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs -- Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection -- Revisiting Supervision for Continual Representation Learning -- FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds -- MMBENCH: Is Your Multi-Modal Model an All-around Player? -- Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds -- Unsupervised Exposure Correction -- Anytime Continual Learning for Open Vocabulary Classification -- External Knowledge Enhanced 3D Scene Generation from Sketch -- G3R: Gradient Guided Generalizable Reconstruction -- DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting -- Frequency-Spatial Entanglement Learning for Camouflaged Object Detection -- VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions -- Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective -- EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis -- Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models -- On the Utility of 3D Hand Poses for Action Recognition -- DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding -- Operational Open-Set Recognition and PostMax Refinement.
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  Visualizza cluster
ISBN: 3-031-72658-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983484003321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15064