| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.]. |
| Reminder of title: |
18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings. |
| remainder title: |
ECCV 2024 |
| other author: |
Leonardis, Aleš. |
| corporate name: |
European Conference on Computer Vision |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
lxxxv, 489 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation -- Learning to Obstruct Few-Shot Image Classification over Restricted Classes -- RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion -- L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model -- AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting -- OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving -- CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner -- HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning -- BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion -- LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer -- Blind image deblurring with noise-robust kernel estimation -- Binomial Self-compensation for Motion Error in Dynamic 3D Scanning -- AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes -- Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation -- VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting -- Momentum Auxiliary Network for Supervised Local Learning -- HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion -- Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains -- Improving Zero-Shot Generalization for CLIP with Variational Adapter -- Realistic Human Motion Generation with Cross-Diffusion Models -- EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding -- Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection -- Towards Reliable Advertising Image Generation Using Human Feedback -- Topology-Preserving Downsampling of Binary Images -- ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders -- Classification Matters: Improving Video Action Detection with Class-Specific Attention -- Improving Medical Multi-modal Contrastive Learning with Expert Annotations. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-72661-3 |
| ISBN: |
9783031726613 |