Yasushi Yagi
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- research-article
Action Recognition From a Single Coded Image
Sudhakar Kumawat
Institute for Datability Science, Osaka University, Suita, Osaka, Japan
,Tadashi Okawara
Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan
,Michitaka Yoshida
Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan
,Hajime Nagahara
Institute for Datability Science, Osaka University, Suita, Osaka, Japan
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, Suita, Osaka, Japan
IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 45, Issue 4•April 2023, pp 4109-4121 • https://doi.org/10.1109/TPAMI.2022.3196350The unprecedented success of deep convolutional neural networks (CNN) on the task of video-based human action recognition assumes the availability of good resolution videos and resources to develop and deploy complex models. Unfortunately, certain ...
- 0Citation
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- research-article
Annotator-dependent uncertainty-aware estimation of gait relative attributes
Allam Shehata
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki 567-0047, Japan
Department of Informatics, Electronics Research Institute, Cairo 12622, Egypt
,Yasushi Makihara
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki 567-0047, Japan
,Daigo Muramatsu
Seikei University, Japan
,Md Atiqur Rahman Ahad
Department of Computer Science and Digital Technologies, University of East London, University Way, London E16 2RD, UK
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki 567-0047, Japan
Highlights- End-to-end uncertainty-aware estimation framework for relative attributes.
- ...
AbstractIn this paper, we describe an uncertainty-aware estimation framework for gait relative attributes. We specifically design a two-stream network model that takes a pair of gait videos as input. It then outputs a corresponding pair of ...
- 0Citation
MetricsTotal Citations0
- Article
Discriminative Mean Shift Tracking with Auxiliary Particles
Junqiu Wang
The Institute of Scientific and Industrial Research, OSAKA University, 8-1 Mihogaoka, Ibaraki, Osaka, Japan
,Yasushi Yagi
The Institute of Scientific and Industrial Research, OSAKA University, 8-1 Mihogaoka, Ibaraki, Osaka, Japan
AbstractWe present a new approach towards efficient and robust tracking by incorporating the efficiency of the mean shift algorithm with the robustness of the particle filtering. The mean shift tracking algorithm is robust and effective when the ...
- 0Citation
MetricsTotal Citations0
- Article
Synchronized Ego-Motion Recovery of Two Face-to-Face Cameras
Jinshi Cui
State Key Lab on Machine Perception, Peking University, China
,Yasushi Yagi
Department of Intelligent Media, Osaka University, Japan
,Hongbin Zha
State Key Lab on Machine Perception, Peking University, China
,Yasuhiro Mukaigawa
Department of Intelligent Media, Osaka University, Japan
,Kazuaki Kondo
Department of Intelligent Media, Osaka University, Japan
AbstractA movie captured by a wearable camera affixed to an actor’s body gives audiences the sense of “immerse in the movie”. The raw movie captured by wearable camera needs stabilization with jitters due to ego-motion. However, conventional approaches ...
- 0Citation
MetricsTotal Citations0
- Article
Gait Identification Based on Multi-view Observations Using Omnidirectional Camera
Kazushige Sugiura
Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
,Yasushi Makihara
Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
,Yasushi Yagi
Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
AbstractWe propose a method of gait identification based on multi-view gait images using an omnidirectional camera. We first transform omnidirectional silhouette images into panoramic ones and obtain a spatio-temporal Gait Silhouette Volume (GSV). Next, ...
- 0Citation
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- Article
Mirror Localization for Catadioptric Imaging System by Observing Parallel Light Pairs
Ryusuke Sagawa
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki-shi, Osaka, 567-0047, Japan
,Nobuya Aoki
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki-shi, Osaka, 567-0047, Japan
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki-shi, Osaka, 567-0047, Japan
AbstractThis paper describes a method of mirror localization to calibrate a catadioptric imaging system. While the calibration of a catadioptric system includes the estimation of various parameters, we focus on the localization of the mirror. The proposed ...
- 0Citation
MetricsTotal Citations0
- rapid-communication
Investigating strategies towards adversarially robust time series classification
Mubarak G. Abdu-Aguye
Department of Computer Engineering, Ahmadu Bello University, Zaria 810251, Nigeria
,Walid Gomaa
Computer Science and Engineering Department, Egypt-Japan University of Science and Technology, New Borg el-Arab 21934, Egypt
Department of Computer and Systems Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
,Yasushi Makihara
Institute for Advanced Co-Creation Studies, Osaka University, Osaka 567-0047, Japan
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, Osaka 567-0047, Japan
Pattern Recognition Letters, Volume 156, Issue C•Apr 2022, pp 104-111 • https://doi.org/10.1016/j.patrec.2022.01.023Highlights- Classifying time series with Euclidean distance is robust against adversarial attacks.
AbstractDeep neural networks have been shown to be vulnerable against specifically-crafted perturbations designed to affect their predictive performance. Such perturbations, formally termed ‘adversarial attacks’ have been designed for various ...
- 2Citation
MetricsTotal Citations2
- research-article
Estimation of Gait Relative Attribute Distributions using a Differentiable Trade-off Model of Optimal and Uniform Transports
Yasushi Makihara
Osaka University
,Yuta Hayashi
Osaka University
,Allam Shehata
Osaka University
,Daigo Muramatsu
Seikei University
,Yasushi Yagi
Osaka University
2021 IEEE International Joint Conference on Biometrics (IJCB)•August 2021, pp 1-8• https://doi.org/10.1109/IJCB52358.2021.9484362This paper describes a method for estimating gait relative attribute distributions. Existing datasets for gait relative attributes have only three-grade annotations, which cannot be represented in the form of distributions. Thus, we first create a dataset ...
- 0Citation
MetricsTotal Citations0
- rapid-communication
Action recognition using kinematics posture feature on 3D skeleton joint locations
Md Atiqur Rahman Ahad
Osaka university, Japan
University of Dhaka, Bangladesh
,Masud Ahmed
University of Maryland, Baltimore, USA
,Anindya Das Antar
University of Michigan, Ann Arbor, USA
,Yasushi Makihara
Osaka university, Japan
,Yasushi Yagi
Osaka university, Japan
Pattern Recognition Letters, Volume 145, Issue C•May 2021, pp 216-224 • https://doi.org/10.1016/j.patrec.2021.02.013Highlights- Motion information from skeleton can be efficiently encoded by considering the body joints as wearable kinematics sensor.
AbstractAction recognition is a very widely explored research area in computer vision and related fields. We propose Kinematics Posture Feature (KPF) extraction from 3D joint positions based on skeleton data for improving the performance of ...
- 9Citation
MetricsTotal Citations9
- research-articleOpen Access
Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks
Chi Xu
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
,Yasushi Makihara
Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan
,Xiang Li
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan
,Jianfeng Lu
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
IEEE Transactions on Circuits and Systems for Video Technology, Volume 31, Issue 1•Jan. 2021, pp 260-274 • https://doi.org/10.1109/TCSVT.2020.2975671In this paper, we propose a pairwise spatial transformer network (PSTN) for cross-view gait recognition, which reduces unwanted feature mis-alignment due to view differences before a recognition step for better performance. The proposed PSTN is a unified ...
- 13Citation
MetricsTotal Citations13
- Article
Descriptor-Free Multi-view Region Matching for Instance-Wise 3D Reconstruction
Takuma Doi
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
,Fumio Okura
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
Japan Science and Technology Agency, Saitama, Japan
,Toshiki Nagahara
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
,Yasuyuki Matsushita
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
,Yasushi Yagi
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
AbstractThis paper proposes a multi-view extension of instance segmentation without relying on texture or shape descriptor matching. Multi-view instance segmentation becomes challenging for scenes with repetitive textures and shapes, e.g., plant leaves, ...
- 0Citation
MetricsTotal Citations0
- Article
End-to-End Model-Based Gait Recognition
Xiang Li
Nanjing University of Science and Technology, Nanjing, China
Osaka University, Osaka, Japan
,Yasushi Makihara
Osaka University, Osaka, Japan
,Chi Xu
Nanjing University of Science and Technology, Nanjing, China
Osaka University, Osaka, Japan
,Yasushi Yagi
Osaka University, Osaka, Japan
,Shiqi Yu
Southern University of Science and Technology, Shenzhen, China
,Mingwu Ren
Nanjing University of Science and Technology, Nanjing, China
AbstractMost existing gait recognition approaches adopt a two-step procedure: a preprocessing step to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end-to-end model-based gait recognition method. Specifically, we ...
- 2Citation
MetricsTotal Citations2
- research-article
How Confident Are You in Your Estimate of a Human Age? Uncertainty-aware Gait-based Age Estimation by Label Distribution Learning
Atsuya Sakata
Osaka University
,Yasushi Makihara
Osaka University
,Noriko Takemura
Osaka University
,Daigo Muramatsu
Osaka University
,Yasushi Yagi
Osaka University
2020 IEEE International Joint Conference on Biometrics (IJCB)•September 2020, pp 1-10• https://doi.org/10.1109/IJCB48548.2020.9304914Gait-based age estimation is one of key techniques for many applications (e.g., finding lost children/aged wanders). It is well known that the age estimation uncertainty is highly dependent on ages (i.e., it is generally small for children while is large ...
- 0Citation
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- research-article
DeformGait: Gait Recognition under Posture Changes using Deformation Patterns between Gait Feature Pairs
Chi XU
Osaka University,Osaka,Japan
,Daisuke Adachi
Osaka University,Osaka,Japan
,Yasushi Makihara
Osaka University,Osaka,Japan
,Yasushi Yagi
Osaka University,Osaka,Japan
,Jianfeng Lu
Nanjing University of Science and Technology,Nanjing,China
2020 IEEE International Joint Conference on Biometrics (IJCB)•September 2020, pp 1-10• https://doi.org/10.1109/IJCB48548.2020.9304902In this paper, we propose a unified convolutional neural network (CNN) framework for robust gait recognition against posture changes (e.g., those induced by walking speed changes). In order to mitigate the posture changes, we first register an input ...
- 0Citation
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- Article
Gait Recognition from a Single Image Using a Phase-Aware Gait Cycle Reconstruction Network
Chi Xu
Nanjing University of Science and Technology, 210094, Nanjing, China
ISIR, Osaka University, 567-0047, Osaka, Japan
,Yasushi Makihara
ISIR, Osaka University, 567-0047, Osaka, Japan
,Xiang Li
Nanjing University of Science and Technology, 210094, Nanjing, China
ISIR, Osaka University, 567-0047, Osaka, Japan
,Yasushi Yagi
ISIR, Osaka University, 567-0047, Osaka, Japan
,Jianfeng Lu
Nanjing University of Science and Technology, 210094, Nanjing, China
AbstractWe propose a method of gait recognition just from a single image for the first time, which enables latency-free gait recognition. To mitigate large intra-subject variations caused by a phase (gait pose) difference between a matching pair of input ...
- 1Citation
MetricsTotal Citations1
- research-article
Identifying motion pathways in highly crowded scenes: A non-parametric tracklet clustering approach
Allam S. Hassanein
Egypt-Japan University of Science and Technology, Alexandria, 21934, Egypt
,Mohamed E. Hussein
Information Sciences Institute, 3811 Fairfax Dr # 200, Arlington, VA 22203, USA
Faculty of Engineering, Alexandria University, Alexandria, Egypt
,Walid Gomaa
Egypt-Japan University of Science and Technology, Alexandria, 21934, Egypt
Faculty of Engineering, Alexandria University, Alexandria, Egypt
,Yasushi Makihara
Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
,Yasushi Yagi
Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
Computer Vision and Image Understanding, Volume 191, Issue C•Feb 2020 • https://doi.org/10.1016/j.cviu.2018.08.004AbstractMany approaches that address the analysis of crowded scenes rely on using short trajectory fragments, also known as tracklets, of moving objects to identify motion pathways. Typically, such approaches aim at defining meaningful ...
Highlights- A novel tracklet similarity measure inspired by line geometry.
- An adaptation of ...
- 0Citation
MetricsTotal Citations0
- research-article
Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination
Thanh-Trung Ngo
Osaka University, Osaka, Japan
,Hajime Nagahara
Osaka University, Osaka, Japan
,Ko Nishino
Kyoto University, Kyoto, Japan
,Rin-ichiro Taniguchi
Kyshu University, Fukuoka, Japan
,Yasushi Yagi
Osaka University, Osaka, Japan
International Journal of Computer Vision, Volume 127, Issue 11-12•Dec 2019, pp 1707-1722 • https://doi.org/10.1007/s11263-019-01149-5AbstractReflectance and shape are two important components in visually perceiving the real world. Inferring the reflectance and shape of an object through cameras is a fundamental research topic in the field of computer vision. While three-dimensional ...
- 1Citation
MetricsTotal Citations1
- Article
Does My Gait Look Nice? Human Perception-Based Gait Relative Attribute Estimation Using Dense Trajectory Analysis
Allam Shehata
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan
Informatics Department, Electronics Research Institute, Cairo, Egypt
,Yuta Hayashi
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan
,Yasushi Makihara
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan
,Daigo Muramatsu
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan
,Yasushi Yagi
Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka Ibaraki, 567-0047, Osaka, Japan
AbstractRelative attributes play an important role in object recognition and image classification tasks. These attributes provide high-level semantic explanations for describing and relating objects to each other instead of using direct labels for each ...
- 0Citation
MetricsTotal Citations0
- research-article
RGB-D video-based individual identification of dairy cows using gait and texture analyses
Fumio Okura
Department of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
,Saya Ikuma
Department of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
,Yasushi Makihara
Department of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
,Daigo Muramatsu
Department of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
,Ken Nakada
Department of Veterinary Medicine, School of Veterinary Medicine, Rakuno Gakuen University, 582 Bunkyodai-Midorimachi, Ebetsu, Hokkaido 069-8501, Japan
,Yasushi Yagi
Department of Intelligent Media, The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
Computers and Electronics in Agriculture, Volume 165, Issue C•Oct 2019 • https://doi.org/10.1016/j.compag.2019.104944Highlights- A cow identification algorithm based on RGB-D video sequences is proposed.
- Gait-...
AbstractThe growth of computer vision technology can enable the automatic assessment of dairy cow health, for instance, the detection of lameness. To monitor the health condition of each cow, it is necessary to identify individual cows ...
- 11Citation
MetricsTotal Citations11
- research-article
Make the Bag Disappear: Carrying Status-invariant Gait-based Human Age Estimation using Parallel Generative Adversarial Networks
Xiang Li
Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China
,Yasushi Makihara
Osaka University,The Institute of Scientific and Industrial Research,Osaka,Japan
,Chi Xu
Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China
,Yasushi Yagi
Osaka University,The Institute of Scientific and Industrial Research,Osaka,Japan
,Mingwu Ren
Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China
2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)•September 2019, pp 1-9• https://doi.org/10.1109/BTAS46853.2019.9185973Existing approaches to gait-based human age estimation seldom consider variations such as carried objects, which greatly alter appearance of gait features (e.g., gait energy images) and result in poor age estimation results. Therefore, we propose a method ...
- 0Citation
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- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner