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Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXVII / 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

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Format:
Book
Author/Creator:
Leonardis, Aleš.
Contributor:
Ricci, Elisa.
Roth, Ștefan.
Russakovsky, Olga.
Sattler, Torsten.
Varol, Gül.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15145
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.
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.
Computer Communication Networks.
User Interfaces and Human Computer Interaction.
Machine Learning.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (560 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:
Score Distillation Sampling with Learned Manifold Corrective
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving
Benchmarking the Robustness of Cross-view Geo-localization Models
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth
SUMix: Mixup with Semantic and Uncertain Information
Flatness-aware Sequential Learning Generates Resilient Backdoors
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
DiffClass: Diffusion-Based Class Incremental Learning
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
Instant 3D Human Avatar Generation using Image Diffusion Models
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
Adapting to Shifting Correlations with Unlabeled Data Calibration
Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity
Information Bottleneck Based Data Correction in Continual Learning
On Spectral Properties of Gradient-based Explanation Methods
Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
Dataset Distillation by Automatic Training Trajectories
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031730214
3031730216
OCLC:
1465266532

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