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Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXVI / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Author/Creator:
- Leonardis, Aleš.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 15134
- Language:
- English
- Subjects (All):
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- 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.
- Local Subjects:
- 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.
- Physical Description:
- 1 online resource (572 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding
- Spiking Wavelet Transformer
- WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing
- PDT Uav Target Detection Dataset for Pests and Diseases Tree
- Hypernetworks for Generalizable BRDF Representation
- Photon Inhibition for Energy-Efficient Single-Photon Imaging
- COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
- RANRAC: Robust Neural Scene Representations via Random Ray Consensus
- LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model
- Characterizing Model Robustness via Natural Input Gradients
- UpFusion: Novel View Diffusion from Unposed Sparse View Observations
- Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding
- SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks
- Tuning-Free Image Customization with Image and Text Guidance
- FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
- Emerging Property of Masked Token for Effective Pre-training
- DQ-DETR: DETR with Dynamic Query for Tiny Object Detection
- Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation
- SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians
- Gaussian in the wild: 3D Gaussian Splatting for Unconstrained Image Collections
- Few-shot Defect Image Generation based on Consistency Modeling
- Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits
- CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
- Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning
- Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline
- Video Editing via Factorized Diffusion Distillation
- Trackastra: Transformer-based cell tracking for live-cell microscopy.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-73116-6
- OCLC:
- 1467878498
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