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USIS: Unsupervised Semantic Image Synthesis [article]

George Eskandar, Mohamed Abdelsamad, Karim Armanious, Bin Yang
2021 arXiv   pre-print
In this initial work, we propose a new Unsupervised paradigm for Semantic Image Synthesis (USIS) as a first step towards closing the performance gap between paired and unpaired settings.  ...  Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a photorealistic image is synthesized from a segmentation mask. SIS has mostly been addressed as a supervised problem.  ...  The USIS or Unsupervised Semantic Image Synthesis framework can be trained on any 2 unpaired datasets generalizing the use of SIS.  ... 
arXiv:2109.14715v1 fatcat:3dgcw4ei5nc47o4e3qo47toc4a

Table of Contents

2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Synthesis 5518 Bin Zhu (City University of Hong Kong) and Chong-Wah Ngo (City University of Hong Kong) Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis 5870  ...  Learning for Exemplar-Based Image Translation 5142 Pan Zhang (University of Science and Technology of China), Bo Zhang SEAN: Image Synthesis With Semantic Region-Adaptive Normalization 5103 Peihao Zhu  ... 
doi:10.1109/cvpr42600.2020.00004 fatcat:c7els2kee5cq7lh6cemeqhdcoa

Knowledge Modelling and Active Learning in Manufacturing [article]

Jože M. Rožanec, Inna Novalija, d Patrik Zajec, Klemen Kenda, Dunja Mladenić
2021 arXiv   pre-print
By combining semantic technologies and active learning, multiple use cases in the manufacturing domain can be addressed taking advantage of the available knowledge and data.  ...  Kainz, "A survey on active learning and human-in-the-loop deep learning for medical image analysis," Medical Image Analysis, p. , ..V. Samsonov, J. Lipp, P. Noodt, A. F. Solvay, and T.  ...  Reyes, "Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network," in International Conference on Medical Image Computing  ... 
arXiv:2107.02298v1 fatcat:4iziznjvyfgpdluwadrjgbxv6u

Testing machine learning based systems: a systematic mapping

Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
2020 Empirical Software Engineering  
The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.  ...  Transformations (e.g., image transformations) that are supposed to preserve the semantics are not checked to respect such assumption, e.g., by means of a human study.  ...  Section 5 synthesises and classifies the information we obtained from the literature.  ... 
doi:10.1007/s10664-020-09881-0 fatcat:7w42stnm3nfafia7ycbmvhrjou

Error and variance bounds on sigmoidal neurons with weight and input errors

D. Lovell, P. Bartlett, T. Downs
1992 Electronics Letters  
Through "training with a teacher", Fukushima hoped to obtain a character recognition system that was tolerant of shifts and deformations in input images.  ...  Such a question highlights the fact that cybernetics strives to achieve a care-61 ful synthesis of natural and artificial qualities.  ...  From Goldfarb's point of view, the neocognitron would probably appear to be an interesting synthesis of syntactic and decision-theoretic methods.  ... 
doi:10.1049/el:19920480 fatcat:7iaahjyx3nfv3h56vprtu3otfi

Geometric Deep Learning: Going beyond Euclidean data

Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
2017 IEEE Signal Processing Magazine  
Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory networks in genetics, and meshed surfaces in  ...  Not less important is the question of data synthesis; there have been several recent attempts to try to learn a generative model allowing to synthesize new images [102] and speech waveforms [103] .  ...  Typical computer vision appli-cations requiring covariance are semantic image segmentation Note that the notion of "manifold" in this setting can be considerably more general than a classical smooth  ... 
doi:10.1109/msp.2017.2693418 fatcat:ppyimvcbwfd55lsc5mkcmsy7ai

Designing an Automated Assessment of Public Speaking Skills Using Multimodal Cues

Lei Chen, Gary Feng, Chee Wee Leong, Jilliam Joe, Christopher Kitchen, Chong Min Lee
2016 Journal of Learning Analytics  
Regarding the feature selection, since many features were extracted from different modalities by usi ng different tools, we first ran an unsupervised feature reduction approach to remove one of the fe  ...  developed a presentation coaching system using Automatic Speech Recognition (ASR), prosody analysis, and image processing.  ... 
doi:10.18608/jla.2016.32.13 fatcat:laa52rbmpjg7lcxoy3p6ctur4a

Information Retrieval with Verbose Queries

Manish Gupta, Michael Bendersky
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
Finally, it aggregates over (potentially e × c 2 + c 3 ) lists of images, to obtain relevance score values for each image and returns the top k images.  ...  • TermCount(S): The number of unique semantic terms.  ... 
doi:10.1145/2766462.2767877 dblp:conf/sigir/GuptaB15 fatcat:tgjnvqbbwfepjiggyecfaupqsa

Formal Methods for Coordinating Multi-Agent Systems (Dagstuhl Seminar 14332) Next Generation Static Software Analysis Tools (Dagstuhl Seminar 14352) Computational Aspects of Fabrication (Dagstuhl Seminar 14361) Augmenting Human Memory-Capture and Recall in the Era of Lifelogging (Dagstuhl Seminar 14362)

Michael Benedikt, Carsten Lutz, Thomas Ågotnes, Nils Bulling, Daniel Kroening, Thomas Reps, Sanjit Seshia, Aditya Thakur, Patrick Cousot, Daniel Kroening, Carsten Sinz, Marc Alexa (+7 others)
2014 Querying and Reasoning Under Expressive Constraints   unpublished
Lifelogging image presentation and navigation Image characteristics changed a lot over the history of image production.  ...  A difficult problem is the synthesis of appropriate norms and social laws.  ...  Our algorithm solves for the shape of a transparent object such that the re-fracted light paints a desired caustic image on a receiver screen.  ... 
fatcat:xufggsvrynatbg2tlxe5gt7tei

PUNCH4NFDI Consortium Proposal

The PUNCH4NFDI Consortium
2020 Zenodo  
TIB is working on terminology services and automatic semantic annotation of data and will contribute to TA 4 and TA 6.  ...  It is planned to develop a generic tool that converts trained neural networks into efficient high-level synthesis (HLS) and VHDL firmware implementations (D-TA5-WP2-4).  ... 
doi:10.5281/zenodo.5722894 fatcat:mfcvk55kqvgsthkp6dnxqyiyve

ABSTRACT OF THE DISSERTATION Learning Disentangled Representations in Deep Visual Analysis

X Peng, Manmohan Chandraker, Ahmed Elgammal, Rogerio Feris, Junzhou Huang, Qiong Hu, Kang Li, Dimitris Metaxas, Sharath Pankanti, Nalini Ratha, Kihyuk Sohn, Christian Vogler (+5 others)
unpublished
The objective is to decouple the latent factors in a representation space, where factorizable structures are obtained and consistent semantics are associated with different variables.  ...  In contrast, our use of 3DMM for face synthesis is geared towards enriching the diversity of training data.  ...  In semantic segmentation [72] , a encoder is applied on the image to achieve low-dimensional embeddings, which are then fed into a decoder to recover a set of heatmaps that present pixel-wise class information  ... 
fatcat:rxx2bdsvbbggfiadta4fftwrte

2013 Jahresbericht Annual Report

Gesellschafter
unpublished
Imaging Imaging mass spectrometry has become mature on the experimental side.  ...  A session on tools covered recent developments in empirical autotuning, semantics support for performance tools and autotuners as well as synthesis of libraries.  ... 
fatcat:xixyfnmw65ehzlozcfxl55r5uq

Abstracts of the 4th World Congress for NeuroRehabilitation

2006 Neurorehabilitation and Neural Repair  
Both the extent of semantic deficits and naming disorder may predict the effectiveness of this semantically based intervention.  ...  C o n cl usi o n : Under glutamatergic transmission, NMJ switches from cholinergic type synapse so that bypass grafting works via the 1st motor neuron.  ...  Furthermore, access to medical imaging information is limited, and overall utilization of information from medical imaging studies among physical therapists is low.  ... 
doi:10.1177/1545968305284198 fatcat:v4iywckx4bdbhiyoxugkmpkbky

Dagstuhl Reports, Volume 7, Issue 4, April 2017, Complete Issue [article]

2018
We leverage recent advances in program synthesis and show that the transition inversion problem can be expressed as an instance of the syntax-guided synthesis framework.  ...  Under such semantics, called origin semantics, fewer transducers are equivalent to each other, e.g. the reverse and identity transformations over a one letter alphabet are not equivalent under origin semantics  ... 
doi:10.4230/dagrep.7.4 fatcat:oiz7wwh4hbhtvkg773gx65qukm

A Personal Journey Through Instructional Technology: A Vision of Excellence Approached From a System of Magnanimity

Virginia Ellen Gilbert
2003
a hologram, each part shows the whole image . . . As you continue to divide up the hologram, no matter how small the divisions, each piece still shows the whole image.  ...  On another occasion in this same community I taught a smal l group of women how to make a simple electrolyte so lution usi ng purified water, lemon juice, sa lt and sugar.  ... 
doi:10.26076/0406-153f fatcat:z6wj7pzvrfcppmxbmqyeunopdu
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