01494oam 2200457I 450 991071365450332120200625124437.0(CKB)5470000002503128(OCoLC)1127388991(EXLCZ)99547000000250312820191113d1929 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierCondensed data on the aircraft engines of the world /compiled by C.S. FliednerWashington, [D.C.] :National Advisory Committee for Aeronautics,1929.1 online resource (15 pages)Technical notes / National Advisory Committee for Aeronautics ;No. 303"April 1929."Chiefly tables.No Federal Depository Library Program (FDLP) item number.Includes bibliographical references (page 15).AirplanesMotorsAirplanesMotorsfastTables (Data)lcgftAirplanesMotors.AirplanesMotors.Fliedner C. S.1416860United States.National Advisory Committee for Aeronautics,TRAALTRAALTRAALOCLCOOCLCFGPOBOOK9910713654503321Condensed data on the aircraft engines of the world3523635UNINA05871nam 22008295 450 991098304430332120250626164045.03-031-72698-710.1007/978-3-031-72698-9(MiAaPQ)EBC31740218(Au-PeEL)EBL31740218(CKB)36393445200041(DE-He213)978-3-031-72698-9(OCoLC)1465273899(EXLCZ)993639344520004120241025d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV /edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (572 pages)Lecture Notes in Computer Science,1611-3349 ;150833-031-72697-9 VideoMamba: Spatio-Temporal Selective State Space Model -- Text to Layer-wise 3D Clothed Human Generation -- Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing -- Fully Sparse 3D Occupancy Prediction -- Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data -- CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field -- Shifted Autoencoders for Point Annotation Restoration in Object Counting -- PointLLM: Empowering Large Language Models to Understand Point Clouds -- GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections -- Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving -- Enhancing Diffusion Models with Text-Encoder Reinforcement Learning -- Asymmetric Mask Scheme for Self-Supervised Real Image Denoising -- Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation -- BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting -- Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis -- BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression -- FlexAttention for Efficient High-Resolution Vision-Language Models -- Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting -- AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation -- Spatially-Variant Degradation Model for Dataset-free Super-resolution -- DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation -- Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence -- Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation -- EAFormer: Scene Text Segmentation with Edge-Aware Transformers -- Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects -- DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration -- LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation.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; object recognition; motion estimation.Lecture Notes in Computer Science,1611-3349 ;15083Image processingDigital techniquesComputer visionImage processingComputer networksMachine learningComputers, Special purposeUser interfaces (Computer systems)Human-computer interactionComputer Imaging, Vision, Pattern Recognition and GraphicsImage ProcessingComputer Communication NetworksMachine LearningSpecial Purpose and Application-Based SystemsUser Interfaces and Human Computer InteractionImage processingDigital 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.006Leonardis Aleš1757791Ricci Elisa216674Roth Ștefan0Russakovsky Olga1767663Sattler Torsten1767664Varol Gül1767665MiAaPQMiAaPQMiAaPQBOOK9910983044303321Computer Vision – ECCV 20244213977UNINA