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Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation [article]

Bin Ren, Hao Tang, Nicu Sebe
2021 arXiv   pre-print
It is hard to generate an image at target view well for previous cross-view image translation methods that directly adopt a simple encoder-decoder or U-Net structure, especially for drastically different  ...  To ease this problem, we propose a novel two-stage framework with a new Cascaded Cross MLP-Mixer (CrossMLP) sub-network in the first stage and one refined pixel-level loss in the second stage.  ...  This supplementary document provides additional experimental results of the proposed Cascaded Cross MLP-Mixer GAN for cross-view image translation task.  ... 
arXiv:2110.10183v1 fatcat:g4web4mexjb3rbltxwxlio3rna

Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation

Bin Ren, Hao Tang, Nicu Sebe
2021 Zenodo  
It is hard to generate an image at target view well for previous cross-view image translation methods that directly adopt a simple encoder-decoder or U-Net structure, especially for drastically different  ...  To ease this problem, we propose a novel two-stage framework with a new Cascaded Cross MLPMixer (CrossMLP) sub-network in the first stage and one refined pixel-level loss in the second stage.  ...  Conclusion We propose a novel two-stage Cascaded Cross MLP-Mixer GAN to progressively address the challenging cross-view image translation task, particularly when there exits little or no overlap between  ... 
doi:10.5281/zenodo.5901781 fatcat:bkg5owdl25ernheekpbjqb7cne

PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation [article]

Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe
2022 arXiv   pre-print
For semantic-guided cross-view image translation, it is crucial to learn where to sample pixels from the source view image and where to reallocate them guided by the target view semantic map, especially  ...  Hence, one not only needs to encode the long-range dependencies among pixels in both the source view image and target view the semantic map but also needs to translate these learned dependencies.  ...  Cross-View Image Translation.  ... 
arXiv:2207.04242v1 fatcat:2waths4o3rgqxlmxvkgqhgvpyu

A comprehensive survey on semantic facial attribute editing using generative adversarial networks [article]

Ahmad Nickabadi, Maryam Saeedi Fard, Nastaran Moradzadeh Farid, Najmeh Mohammadbagheri
2022 arXiv   pre-print
Based on their architectures, the state-of-the-art models are categorized and studied as encoder-decoder, image-to-image, and photo-guided models.  ...  Semantic facial attribute editing is the process of varying the values of one or more attributes of a face image while the other attributes of the image are not affected.  ...  Wu et al. propose a cascade FE-GAN [177] as a progressive model for handling extreme facial expression manipulations.  ... 
arXiv:2205.10587v1 fatcat:thpe4crcgndifb5mhtuveww4ji

Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, Yutao Yue
2022 Sensors  
The next generation of 4D radar can achieve imaging capability in the form of high-resolution point clouds. In this context, we believe that the era of deep learning for radar perception has arrived.  ...  For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge.  ...  Generative models can also be used in cross-modality data generation, for example GAN-based LiDAR-to-radar generation [104] , GAN-based radar-to-image generation [105] , and VAE-based radar-to-image  ... 
doi:10.3390/s22114208 pmid:35684831 pmcid:PMC9185239 fatcat:dqzdgj7hd5hqrkudzw5uwjz73u

Towards Robust Pattern Recognition: A Review [article]

Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen
2020 arXiv   pre-print
The accuracies for many pattern recognition tasks have increased rapidly year by year, achieving or even outperforming human performance.  ...  witnessing the significant progress in accuracy improvement nowadays, this review paper will enable us to analyze the shortcomings and limitations of current methods and identify future research directions for  ...  For example, image classification works on image, speech recognition deals with sound waves, while machine translation handles text data.  ... 
arXiv:2006.06976v1 fatcat:mn35i7bmhngl5hxr3vukdcmmde

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
At the end of this paper, we conclude the further development of BMs in a more general view.  ...  With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  MLP-Mixer [626] and ResMLP [627] are another two simple architectures that directly replace the self-attention layers in vision transformers with spatial MLPs.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

Deep learning for radar data exploitation of autonomous vehicle [article]

Arthur Ouaknine
2022 arXiv   pre-print
A simple simulation as well as generative methods for creating annotated data will be presented.  ...  It also introduces a method to open up research into the fusion of LiDAR and RADAR sensors for scene understanding.  ...  I would like to especially thank Domique Béréziat and Francesca Bovolo for reviewing my manuscript.  ... 
arXiv:2203.08038v1 fatcat:zjupxkpaffgavm45oqpwnhkczq

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
improvement for automated translation.  ...  Nevertheless, a regular and perspective image view is preferred for viewers; thus, image rectification becomes essential.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

Intelligent D-Band wireless systems and networks initial designs

Marco Di Renzo, Xuewen Qian, Halid Hrasnica, Nikos Katzouris, Kyriakos Manganaris, Dimitris Selimis, Fotis Lazarakis, Tachporn Sanguanpuak, Heikki Halmetoja, Moamen Ibrahim, Edwin Yaqub, Rachana Desai (+5 others)
2021 Zenodo  
system level model for proactive handovers and resource allocation, model-driven deep learning-based channel estimation and feedbacks as well as strategies for deployment of machine learning based solutions  ...  The different chapters present system level, simulation and algorithmic models based on multi-agent reinforcement learning, deep reinforcement learning, learning automata for complex event forecasting,  ...  Observations are fed from the environment to the model as a top-down view image of the map with multiple information layers and a vector of scalar values, containing information such as whether the radio  ... 
doi:10.5281/zenodo.5718378 fatcat:l3rkacgotzazha564nqm6wchiy

Mechanistic characterisation of Activin/Smad and PI3K/mTOR crosstalk during the specification of definitive endoderm from human embryonic stem cells

Jason Shu Lim Yu, Wei Cui, Medical Research Council (Great Britain), Genesis Research Trust
2016
Although it has been previously reported that PI3K activation acts to antagonise the in vitro differentiation of DE, the molecular mechanisms responsible for this effect remains unclear.  ...  molecular mechanisms that govern DE specification not only facilitates our understanding of developmental biology but also aids in the differentiation of human pluripotent stem cells to specific cell types for  ...  Episkopou for the pGL3-CAGA 12 -luc construct; Professor E. Lam for the p70S6K antibodies, Dr R. Kypta for PC3 cells; Professors V. Episkopou, M. Parker and Dr R. Kypta for their helpful discussions.  ... 
doi:10.25560/34321 fatcat:sbvyvnzag5gild254nnwux2oae

Strategies for wheat stripe rust pathogenicity identified by "omics" technologies [article]

Diana Patricia Garnica Moreno, University, The Australian National, University, The Australian National
2016
During infection, the fungus creates a specialized cellular structure within host cells called the haustorium which allows Pst to obtain the nutrients necessary for development and reproduction.  ...  Robert Park (University of Sydney, Cobbitty) for the stripe rust strain and help with pathology. We thank William Jackson for a critical review of the manuscript.  ...  (Gan et al., 2013 , O'Connell et al., 2012 .  ... 
doi:10.25911/5d778525270e1 fatcat:5c54ukzrnjgy3fomx52w2iamey