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

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 review...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Leonardis, Aleš (Editor), Ricci, Elisa (Editor), Roth, Stefan (Editor), Russakovsky, Olga (Editor), Sattler, Torsten (Editor), Varol, Gül (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Lecture Notes in Computer Science, 15073
Fag:
Image processing > Digital techniques.
Computer vision.
Image processing.
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.
Online adgang:https://doi.org/10.1007/978-3-031-72633-0
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Indholdsfortegnelse:
  • GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
  • IRGen: Generative Modeling for Image Retrieval
  • Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality
  • FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
  • A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
  • VISA: Reasoning Video Object Segmentation via Large Language Model
  • Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models
  • IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
  • Scaling Backwards: Minimal Synthetic Pre-training?
  • BAMM: Bidirectional Autoregressive Motion Model
  • Event-based Head Pose Estimation: Benchmark and Method
  • Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
  • Towards Multi-modal Transformers in Federated Learning
  • Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
  • QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images
  • Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
  • DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution
  • Do not move together: per-Gaussian Deformation for 4DGS
  • DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
  • CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
  • Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
  • RPBG: Towards Robust Neural Point-based Graphics in the Wild
  • GaussReg: Fast 3D Registration with Gaussian Splatting
  • Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators
  • Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation
  • IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map
  • TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data.

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