My Account Log in

1 option

Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI / 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.
Contributor:
Ricci, Elisa.
Roth, Ștefan.
Russakovsky, Olga.
Sattler, Torsten.
Varol, Gül.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15069
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 (0 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. The papers 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:
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing
Noise-assisted Prompt Learning for Image Forgery Detection and Localization
Data Collection-free Masked Video Modeling
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation
SEED: A Simple and Effective 3D DETR in Point Clouds
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
Intrinsic Single-Image HDR Reconstruction
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
DATENeRF: Depth-Aware Text-based Editing of NeRFs
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
LaRa: Efficient Large-Baseline Radiance Fields
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Grounding Language Models for Visual Entity Recognition
ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031732478
3031732472
OCLC:
1467877832

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account