Introduction
Multispectral imaging is revolutionizing the fields of robotics and automation by providing richer information beyond the visible spectrum. Traditional RGB cameras capture only a narrow band of the electromagnetic spectrum, limiting the data available for computer vision systems. Multispectral cameras expand this capability by sensing light across a broader range of wavelengths, including infrared, ultraviolet, and other portions of the spectrum invisible to the human eye.
This additional spectral information unlocks powerful new applications in robotics and automation. Multispectral data can be used for enhanced material classification, detecting various objects, identifying chemical signatures, and perceiving environmental factors like moisture and temperature. Additionally, in autonomous driving, multispectral imaging allows vehicles to detect lane markings better, read traffic signals, and identify obstacles in challenging conditions like adverse weather situations and darkness. Such capabilities have transformative potential for industrial inspection, agricultural automation, search and rescue operations, self-driving cars, and countless other domains.
The Multispectral Imaging for Robotics and Automation (MIRA) workshop aims to bring together leading researchers exploring this emerging interdisciplinary area at the intersection of multispectral imaging, computer vision, robotics, and automation.
Join us to discuss the latest breakthroughs, share cutting-edge research, and forge new collaborations driving innovation in this exciting field.
Call For Papers
We invite researchers and practitioners to submit original and unpublished work to the Multispectral Imaging for Robotics and Automation (MIRA) workshop. Relevant topics include but are not limited to:
- Multispectral image acquisition and sensor fusion
- Multispectral object detection, tracking, and segmentation
- Industrial inspection with multispectral vision
- Agricultural monitoring and automation
- Non-line-of-sight imaging for autonomous vehicles
- Multispectral perception for adverse weather conditions
- Novel applications of multispectral data in robotics and automation
- Multispectral image reconstruction
- Spectral unmixing and material classification
- Domain adaptation and transfer learning for multispectral data
- Multispectral dataset curation and benchmarking
Paper Submission Guidelines:
To submit papers for consideration, please utilize the workshop's CMT website: https://cmt3.research.microsoft.com/MIRA2024. All submissions should be in PDF format.
Papers that have been previously published or are currently under review elsewhere will not be accepted. It is imperative that submissions adhere to the formatting standards outlined by the Asian Conference on Computer Vision (ACCV), which can be found at https://accv2024.org/author-guidelines/.
For consistency, papers must use the ACCV LaTeX template and should not exceed 14 pages, including figures and tables. However, additional pages are permissible solely for references.
You can access the official ACCV LaTeX template files by cloning the template from this overleaf project or downloading this zip file.
All accepted papers are going to be published in the ACCV 2024 Workshop proceedings and Springer ACCV 2024 Workshop LNCS.
Important note: PDF files must be under 20MB.
Important Dates
| Call for papers announced | July 9, 2024 |
| Paper submission deadline | September 14, 2024 |
| Notifications to accepted papers | September 20, 2024 |
| Paper camera ready | September 30, 2024 |
| Workshop date | December 8, 2024 |
Invited Speakers
Dr. Ukcheol Shin (Carnegie Mellon University) Dr. Ukcheol Shin is a postdoctoral researcher at the Robotics Institute of Carnegie Mellon University. His research focuses on developing a robust robot vision system that can perceive and navigate the dynamic world, even in challenging conditions, with a particular interest in self-supervised learning of 3D geometry and multi-sensor fusion. Dr. Shin has made significant contributions to the field of multispectral imaging, with a focus on topics such as thermal image segmentation and depth estimation on thermal images. Furthermore, he is one of the authors of the MS2 dataset, a valuable resource for the research community.
Dr. Ashutosh Mishra (BITS Pilani) Dr. Ashutosh Mishra is an academic and researcher specializing in Intelligent Systems. He holds a B.Tech. from Uttar Pradesh Technical University (2008), an M.Tech. from NIT Allahabad (2011), and a Ph.D. from IIT (BHU) Varanasi (2018). He was an Assistant Professor at NIT Raipur and received the Korea Research Fellowship in 2019. From 2019 to 2023, he was a Brain Pool Fellow at Yonsei University, South Korea. Currently, he is an Assistant Professor in the Department of Electrical & Electronics Engineering at BITS Pilani, Dubai. His research interests include smart sensors, intelligent systems, autonomous vehicles, convergence technology, and artificial intelligence.
Schedule (Hanoi, Vietnam / Indochina Time Zone (ICT) (*GMT +7))
| Time | Particulars |
|---|---|
| 10:00 AM - 10:15 AM | Welcome |
| 10:15 AM - 10:45 AM | Opening Talk by Prof. Shiho Kim, Yonsei University, Seoul, Korea |
| 10:50 AM - 11:35 AM | Invited Talk by Dr. Ukcheol Shin, Carnegie Mellon University, Pittsburgh, PA, USA |
| Paper Session 1 | |
| 11:40 AM - 12:00 PM | Accepted Papers Presentation #1 |
| 12:05 PM - 12:25 PM | Accepted Papers Presentation #2 |
| 12:30 PM - 01:30 PM | Coffee Break |
| 01:30 PM - 02:15 PM | Invited Talk |
| Paper Session 2 | |
| 02:20 PM - 02:40 PM | Accepted Papers Presentation #3 |
| 02:45 PM - 03:05 PM | Accepted Papers Presentation #4 |
| 03:05 PM - 03:10 PM | Concluding remarks |
Organizers
Program Committee
Contact
To contact the organizers please use multispectral4ra@outlook.com
