Computer Vision – ECCV 2024
Springer International Publishing (Verlag)
978-3-031-73253-9 (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. The papers 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.
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection.- Self-Supervised Video Copy Localization with Regional Token Representation.- Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models.- RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF.- Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture.- ControlLLM: Augment Language Models with Tools by Searching on Graphs.- UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.- DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors.- Vamos: Versatile Action Models for Video Understanding.- Prioritized Semantic Learning for Zero-shot Instance Navigation.- RoadPainter: Points Are Ideal Navigators for Topology transformER.- FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.- Can OOD Object Detectors Learn from Foundation Models?.- Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion.- MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo.- Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training.- Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation.- Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes.- Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging.- TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts.- RadEdit: stress-testing biomedical vision models via diffusion image editing.- SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow.- AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution.- Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion.- Towards Real-world Event-guided Low-light Video Enhancement and Deblurring.- Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation.- TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.
| Erscheint lt. Verlag | 8.12.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | Approx. 500 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 | 3-031-73253-7 / 3031732537 |
| ISBN-13 | 978-3-031-73253-9 / 9783031732539 |
| Zustand | Neuware |
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