Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXI / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol.

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 ; 15139

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.

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.

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. 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:

Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Generalizable Symbolic Optimizer Learning

Online Continuous Generalized Category Discovery

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

Tackling Structural Hallucination in Image Translation with Local Diffusion

Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

On the Vulnerability of Skip Connections to Model Inversion Attacks

Adversarial Robustification via Text-to-Image Diffusion Models

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector

Reinforcement Learning via Auxillary Task Distillation

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

Pre-trained Visual Dynamics Representations for Efficient Policy Learning

View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields

Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception

Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias

Learning Quantized Adaptive Conditions for Diffusion Models

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

High-Fidelity Modeling of Generalizable Wrinkle Deformation

Instruction Tuning-free Visual Token Complement for Multimodal LLMs.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031730047

3031730046

OCLC:

1467876968