Computer vision -- ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings. Part III / Leonid Karlinsky, Tomer Michaeli, Ko Nishino (eds.).
European Conference on Computer Vision (17th : 2022 : Tel Aviv, Israel); Karlinsky, Leonid, editor.; Michaeli, Tomer, editor.; Nishino, Ko, editor.
2023
TA1634
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Title Computer vision -- ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings. Part III / Leonid Karlinsky, Tomer Michaeli, Ko Nishino (eds.).
Meeting Name European Conference on Computer Vision (17th : 2022 : Tel Aviv, Israel)
ISBN 9783031250668 (electronic bk.)
3031250664 (electronic bk.)
9783031250651
DOI https://doi.org/10.1007/978-3-031-25066-8
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xxvii, 772 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-25066-8 doi
Call Number TA1634
Dewey Decimal Classification 006.3/7
Summary The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge. .
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 20, 2023).
Added Author Karlinsky, Leonid, editor.
Michaeli, Tomer, editor.
Nishino, Ko, editor.
Series Lecture notes in computer science ; 13803. 1611-3349
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Intro
Foreword
Preface
Organization
Contents - Part III
W06
Advances in Image Manipulation: Reports
W06
Advances in Image Manipulation: Reports
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
1 Introduction
2 AIM 2022 Reversed ISP Challenge
2.1 Datasets
2.2 Evaluation and Results
3 Proposed Methods and Teams
3.1 NOAHTCV
3.2 MiAlgo
3.3 CASIA LCVG
3.4 HIT-IIL
3.5 CS^2U
3.6 SenseBrains
3.7 HiImage
3.8 0noise
3.9 OzU VGL
3.10 PixelJump
3.11 CVIP
4 Conclusions

A Appendix 1: Qualitative Results
B Appendix 2: Teams and Affiliations
References
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
1 Introduction
2 Challenge
2.1 Challenge Data
2.2 Evaluation
2.3 Submissions
3 Results
3.1 Overall Results
3.2 Solutions
4 Teams and Affiliations
4.1 Organizers of AIM 2022 Challenge on Instagram Filter Removal
4.2 Fivewin
4.3 CASIA LCVG
4.4 MiAlgo
4.5 Strawberry
4.6 SYU-HnVLab
4.7 XDER
4.8 CVRG
4.9 CVML
4.10 Couger AI
References

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
1 Introduction
2 Challenge
2.1 Dataset
2.2 Local Runtime Evaluation
2.3 Runtime Evaluation on the Target Platform
2.4 Challenge Phases
2.5 Scoring System
3 Challenge Results
3.1 Results and Discussion
4 Challenge Methods
4.1 MiAlgo
4.2 Multimedia
4.3 ENERZAi
4.4 HITZST01
4.5 MINCHO
4.6 CASIA 1st
4.7 JMU-CVLab
4.8 DANN-ISP
4.9 Rainbow
4.10 SKD-VSP
4.11 CHannel Team
5 Additional Literature
A Teams and Affiliations
References

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report*-4pt
1 Introduction
2 Challenge
2.1 Dataset
2.2 Local Runtime Evaluation
2.3 Runtime Evaluation on the Target Platform
2.4 Challenge Phases
2.5 Scoring System
3 Challenge Results
3.1 Results and Discussion
4 Challenge Methods
4.1 TCL
4.2 AIIA HIT
4.3 MiAIgo
4.4 Tencent GY-Lab
4.5 SmartLab
4.6 JMU-CVLab
4.7 ICL
5 Additional Literature
A Teams and Affiliations
References

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report
1 Introduction
2 Challenge
2.1 Dataset
2.2 Local Runtime Evaluation
2.3 Runtime Evaluation on the Target Platform
2.4 Challenge Phases
2.5 Scoring System
3 Challenge Results
3.1 Results and Discussion
4 Challenge Methods
4.1 Z6
4.2 TCLResearchEurope
4.3 ECNUSR
4.4 LCVG
4.5 BOE-IOT-AIBD
4.6 NJUST
4.7 Antins_cv
4.8 GenMedia Group
4.9 Vccip
4.10 MegSR
4.11 DoubleZ
4.12 Jeremy Kwon
4.13 Lab216
4.14 TOVB

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