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

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, 15147
Fag:
Online adgang:https://doi.org/10.1007/978-3-031-73024-5
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Indholdsfortegnelse:
  • How to Train the Teacher Model for Effective Knowledge Distillation
  • Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
  • Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
  • Modality Translation for Object Detection Adaptation without forgetting prior knowledge
  • FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
  • Learning Multimodal Latent Generative Models with Energy-Based Prior
  • On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
  • LaWa: Using Latent Space for In-Generation Image Watermarking
  • Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
  • Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable
  • Co-speech Gesture Video Generation with 3D Human Meshes
  • When and How do negative prompts take effect?
  • GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views
  • CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
  • Snuffy: Efficient Whole Slide Image Classifier
  • Learning to Build by Building Your Own Instructions
  • Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
  • BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
  • DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
  • Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.