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

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Editors:

Aleš Leonardis
1. University of Birmingham, Birmingham, UK
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Elisa Ricci
1. University of Trento, Trento, Italy
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Stefan Roth
1. Technical University of Darmstadt, Darmstadt, Germany
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Olga Russakovsky
1. Princeton University, Palo Alto, USA
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Torsten Sattler
1. Czech Technical University in Prague, Prague, Czech Republic
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Gül Varol
1. École des Ponts ParisTech, Marne-la-Vallée, France
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15097)

Included in the following conference series:

ECCV: European Conference on Computer Vision

Conference proceedings info: ECCV 2024.

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About this book

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.

Keywords

Table of contents (27 papers)

Front Matter

Pages i-lxxxv

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Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning
- Yibing Wei, Abhinav Gupta, Pedro Morgado
Pages 1-17
Nuvo: Neural UV Mapping for Unruly 3D Representations
- Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall
Pages 18-34
Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation
- Rong Wang, Wei Mao, Changsheng Lu, Hongdong Li
Pages 35-51
AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes
- Rao Fu, Zehao Wen, Zichen Liu, Srinath Sridhar
Pages 52-70
Better Call SAL: Towards Learning to Segment Anything in Lidar
- Aljoša Ošep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
Pages 71-90
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
- Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler et al.
Pages 91-109
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
- Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
Pages 110-127
Scene-Aware Human Motion Forecasting via Mutual Distance Prediction
- Chaoyue Xing, Wei Mao, Miaomiao Liu
Pages 128-144
FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting
- Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang
Pages 145-163
Open Panoramic Segmentation
- Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang et al.
Pages 164-182
iMatching: Imperative Correspondence Learning
- Zitong Zhan, Dasong Gao, Yun-Jou Lin, Youjie Xia, Chen Wang
Pages 183-200
COSMU: Complete 3D Human Shape from Monocular Unconstrained Images
- Marco Pesavento, Marco Volino, Adrian Hilton
Pages 201-219
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps
- Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni
Pages 220-237
Appearance-Based Refinement for Object-Centric Motion Segmentation
- Junyu Xie, Weidi Xie, Andrew Zisserman
Pages 238-256
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
- Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari
Pages 257-275
Open Vocabulary Multi-label Video Classification
- Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah et al.
Pages 276-293
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data
- Xiaofan Que, Qi Yu
Pages 294-311
Regularizing Dynamic Radiance Fields with Kinematic Fields
- Woobin Im, Geonho Cha, Sebin Lee, Jumin Lee, Juhyeong Seon, Dongyoon Wee et al.
Pages 312-328
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
- Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé et al.
Pages 329-346

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Editors and Affiliations

University of Birmingham, Birmingham, UK

Aleš Leonardis
University of Trento, Trento, Italy

Elisa Ricci
Technical University of Darmstadt, Darmstadt, Germany

Stefan Roth
Princeton University, Palo Alto, USA

Olga Russakovsky
Czech Technical University in Prague, Prague, Czech Republic

Torsten Sattler
École des Ponts ParisTech, Marne-la-Vallée, France

Gül Varol

Bibliographic Information

Book Title: Computer Vision – ECCV 2024
Book Subtitle: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXIX
Editors: Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-72933-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Softcover ISBN: 978-3-031-72932-4Published: 03 October 2024
eBook ISBN: 978-3-031-72933-1Published: 02 October 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LXXXV, 496
Number of Illustrations: 1 b/w illustrations, 182 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing, Computer Communication Networks, User Interfaces and Human Computer Interaction, Machine Learning, Special Purpose and Application-Based Systems

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Computer Vision – ECCV 2024