Computer Vision – ECCV 2024
Springer International Publishing (Verlag)
978-3-031-72750-4 (ISBN)
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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.
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.- Unsupervised Multi-modal Medical Image Registration via Invertible Translation.- Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery.- CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.- Domain Reduction Strategy for Non-Line-of-Sight Imaging.- HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation.- Cut out the Middleman: Revisiting Pose-based Gait Recognition.- HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images.- High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior.- SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM.- View Selection for 3D Captioning via Diffusion Ranking.- OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model.- UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models.- Confidence Self-Calibration for Multi-Label Class-Incremental Learning.- OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models.- Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning.- WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting.- An Incremental Unified Framework for Small Defect Inspection.- Enhancing Optimization Robustness in 1-bit Neural Networks through Stochastic Sign Descent.- Temporally Consistent Stereo Matching.- A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images.- BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation.- Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth.- BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream.- Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework.- CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation.- DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment.
| Erscheint lt. Verlag | 3.12.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | Approx. 480 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Artificial Intelligence • Computer Networks • Computer systems • computer vision • Education • Human-Computer Interaction (HCI) • Image Analysis • image coding • Image Processing • image reconstruction • Image Segmentation • learning • machine learning • Object recognition • pattern recognition • reconstruction • Signal Processing • Software engineering |
| ISBN-10 | 3-031-72750-9 / 3031727509 |
| ISBN-13 | 978-3-031-72750-4 / 9783031727504 |
| Zustand | Neuware |
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