My Account Log in

1 option

Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VI / 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 ; 15064
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 (580 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:
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal
Unsupervised Moving Object Segmentation with Atmospheric Turbulence
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation
Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping
Image Demoireing in RAW and sRGB Domains
LiDAR-Event Stereo Fusion with Hallucinations
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection
Revisiting Supervision for Continual Representation Learning
FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds
MMBENCH: Is Your Multi-Modal Model an All-around Player?
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Unsupervised Exposure Correction
Anytime Continual Learning for Open Vocabulary Classification
External Knowledge Enhanced 3D Scene Generation from Sketch
G3R: Gradient Guided Generalizable Reconstruction
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting
Frequency-Spatial Entanglement Learning for Camouflaged Object Detection
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
On the Utility of 3D Hand Poses for Action Recognition
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
Operational Open-Set Recognition and PostMax Refinement.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-72658-8
OCLC:
1458763442

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.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account