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

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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, Princeton, 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 15059)

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. 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.

Keywords

Table of contents (27 papers)

Front Matter

Pages i-lxxxv

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Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-of-Distribution Images
- Jacopo Bonato, Marco Cotogni, Luigi Sabetta
Pages 1-19
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
- Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Haoran Tan et al.
Pages 20-38
FunQA: Towards Surprising Video Comprehension
- Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel et al.
Pages 39-57
4D Contrastive Superflows are Dense 3D Representation Learners
- Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen et al.
Pages 58-80
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
- Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
Pages 81-99
Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos
- Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu
Pages 100-119
Robust Fitting on a Gate Quantum Computer
- Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
Pages 120-138
H-V2X: A Large Scale Highway Dataset for BEV Perception
- Chang Liu, Mingxu Zhu, Cong Ma
Pages 139-157
Learning Camouflaged Object Detection from Noisy Pseudo Label
- Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan
Pages 158-174
Weakly Supervised 3D Object Detection via Multi-level Visual Guidance
- Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang
Pages 175-191
Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions
- Weng Fei Low, Gim Hee Lee
Pages 192-209
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
- Shengke Sun, Ziqian Luan, Zhanshan Zhao, Shijie Luo, Shuzhen Han
Pages 210-227
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
- Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han et al.
Pages 228-246
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts
- Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu et al.
Pages 247-264
Motion Mamba: Efficient and Long Sequence Motion Generation
- Zeyu Zhang, Akide Liu, Ian Reid, Richard Hartley, Bohan Zhuang, Hao Tang
Pages 265-282
Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis
- Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang et al.
Pages 283-299
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
- Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling
Pages 300-318
A Direct Approach to Viewing Graph Solvability
- Federica Arrigoni, Andrea Fusiello, Tomas Pajdla
Pages 319-334
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization
- Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng et al.
Pages 335-352

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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, Princeton, 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 I
Editors: Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-73232-4
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: 978-3-031-73231-7Published: 30 September 2024
eBook ISBN: 978-3-031-73232-4Published: 29 September 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LXXXV, 497
Number of Illustrations: 6 b/w illustrations, 188 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