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A Nash-game approach to joint image restoration and segmentation
2014
Applied Mathematical Modelling
Preserved Fulltext
We propose a game theory approach to simultaneously restore and segment noisy images. ...
We define two players: one is restoration, with the image intensity as strategy, and the other is segmentation with contours as strategy. ...
In Section 2 we formulate the joint restoration and segmentation problem as a game problem with two players. ...
doi:10.1016/j.apm.2013.11.034
fatcat:s3nmmkgk2rh6xedhdqu27pioxy
2019 Index IEEE Transactions on Industrial Informatics Vol. 15
2019
IEEE Transactions on Industrial Informatics
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Lee, B., +, TII Nov. 2019 6155-6161
Image restoration
Restoring Aspect Ratio Distortion of Natural Images With Convolutional
Neural Network. ...
Controlling Fuzzy Dynamical Systems: A Cooperative Game Approach. ...
doi:10.1109/tii.2020.2968165
fatcat:utk3ywxc6zgbdbfsys5f4otv7u
Differentiated Statistical QoS Guarantees for Real-Time CBR Services in Broadband Wireless Access Networks
2010
2010 International Conference on Computational Intelligence and Software Engineering
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texture synthesis
Hao Guo
30344
Ant Colony Optimization and Statistical Estimation Approach to Image Edge Detection
Jian Zhang
30362
A High Performance Dithering Method for Gray and Color Image ...
The lattice formulation of signal detection problems has led to some of the most efficient detectors known. ...
doi:10.1109/wicom.2010.5601439
fatcat:kaereulmjzhbdpknj727a4vuri
High-performance server systems and the next generation of online games
2006
IBM Systems Journal
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of a game in which multiple human and robotic characters interact with static and dynamic objects in a virtual environment. ...
Computationally intensive simulation may adversely affect performance and result in a situation in which little processing capacity is left for other aspects of the game. ...
D'Amora is currently focusing on the design and programmability of Cell Broadband Enginee (BE) processor-based systems targeted at video game development and digital entertainment. ...
doi:10.1147/sj.451.0103
fatcat:pgwql5rq3vfzfpv5w4inwfaxda
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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CMAL formulates NAIC as a multi-agent reinforcement learning system where positions in the target sequence are viewed as agents that learn to cooperatively maximize a sentence-level reward. ...
In this paper, we propose a Non-Autoregressive Image Captioning (NAIC) model with a novel training paradigm: Counterfactuals-critical Multi-Agent Learning (CMAL). ...
PKJ2018-Y46) and Shanghai Jiaotong University Translational Medicine Cross Foundation (ZH2018ZDA25). Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence ...
doi:10.24963/ijcai.2020/106
dblp:conf/ijcai/ChenLXBWTS20
fatcat:5fz3g23qfbha7p4el5helinbku
Artificial Intelligence for the Metaverse: A Survey
[article]
2022
arXiv
pre-print
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Subsequently, several AI-aided applications, such as healthcare, manufacturing, smart cities, and gaming, are studied to be deployed in the virtual worlds. ...
Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most ...
Some other advanced image restoration works exploited CNN architectures to reduce image compression artifacts, restore clean images from downscaled and blurred images, and reconstruct missing details ...
arXiv:2202.10336v1
fatcat:35isd745dbaqfnpzthnmbaosue
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision
[article]
2021
arXiv
pre-print
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Last but not least, we demonstrate how to apply RUAS for both low- and high-level LLV applications (e.g., enhancement, detection and segmentation). ...
Furthermore, we construct a differentiable strategy to cooperatively search specific scene and task architectures for RUAS. ...
ACKNOWLEDGMENTS This work is partially supported by the National Key R&D Program of China (2020YFB1313503), the National Natural Science Foundation of China (No. 61922019), and the Fundamental Research ...
arXiv:2112.04719v1
fatcat:h2nxuzalvngenerod7vxgacu6m
Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions
2020
IEEE Communications Surveys and Tutorials
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., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink and the uplink. ...
applications for video edge-C3; video edge computing and analytics in uplink scenarios (e.g., architectures, analytics, and applications); and video edge caching, computing and communication methods in ...
The problem is formulated as a joint video caching and scheduling optimization, for which a two-stage rounding-based algorithm is proposed. ...
doi:10.1109/comst.2020.3035427
fatcat:ialgflav5nao3fwptbmyvtfhpa
Machine Learning in the Air
[article]
2019
arXiv
pre-print
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Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many areas in a fundamental ...
We also highlight the complementary problem of designing physical layer techniques to enable distributed ML at the wireless network edge, which further emphasizes the need to understand and connect ML ...
The authors use convolutional neural networks (CNN) based image super-resolution and image restoration techniques, implemented using a three-layer and a 20 layer CNN, to estimate the channel, with the ...
arXiv:1904.12385v1
fatcat:chdscfuwbfbrja5yfppcf6w72q
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, JIoT April 15, 2021 6995-7008 Image restoration DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks
[article]
2020
arXiv
pre-print
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Other Versions
Image salient object detection (SOD) is an active research topic in computer vision and multimedia area. ...
To further improve the detection results, the attention mechanism and edge detection module are also incorporated into cmSalGAN. ...
It aims at highlighting salient object regions from the given image and has been widely used in object-level applications in different fields, such as image understanding, object detection, and tracking ...
arXiv:1912.10280v2
fatcat:zaxsm6o6mfbv5oslfg5wjwxywy
2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20
2019
IEEE transactions on intelligent transportation systems (Print)
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., and Ma, J ...
., +, TITS May 2019 1964-1977
Image restoration
Objective Quality Evaluation of Dehazed Images. ...
Cai, J., Content in Motion: An Edge Computing Based Relay Scheme for Content Dissemination in Urban Vehicular Networks; TITS Aug. 2019 3115-3128 Hui, Y., Su, Z., Luan, T.H., and Cai, J., A Game Theoretic ...
doi:10.1109/tits.2020.2966388
fatcat:xkvww7uabzhlzgfz3yiecyb75y
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
2017
IEEE Access
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2017 pre-print arXiv:1703.10750v1 fatcat:62h3zhi5tre25hej4qa3gf6eeq
In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks. ...
Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching. ...
ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper. ...
doi:10.1109/access.2017.2685434
fatcat:omhcphk735czrnmjnwkoory6hq
Manipulation in Human Environments
2006
2006 6th IEEE-RAS International Conference on Humanoid Robots
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Many tasks can be achieved through the detection and control of these sparse perceptual features. And finally, a robot is more than a passive observer of the world. ...
in their homes and workplaces. ...
Find the edges in consecutive images I 1 and I 2 using a Canny edge detector (Canny, 1986) . 2. ...
doi:10.1109/ichr.2006.321370
dblp:conf/humanoids/EdsingerK06
fatcat:i5tunfqrrfdenh6k2vos5mhsby
Scanning the Issue
2020
IEEE transactions on intelligent transportation systems (Print)
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Environmental and behavioral factors impacting driveability in autonomous driving are studied. ...
and novel drivability metrics to enhance robustness of autonomous cars in adverse environments. ...
A game-theoretic model is formulated to evaluate the optimal transmit power for uplink cooperative vehicular networks. The simulation results validate the analytical derivations. ...
doi:10.1109/tits.2020.3008809
fatcat:etol5qoilvdnbj6gtjxk3gheaa
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