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Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries [article]

Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto
2021 arXiv   pre-print
In this paper, we present a new approach, denoted Part-and-Sum detection Transformer (PST), to perform end-to-end visual composite set detection.  ...  Computer vision applications such as visual relationship detection and human object interaction can be formulated as a composite (structured) set detection problem in which both the parts (subject, object  ...  Part-and-Sum Transformers for Visual Relationship Detection In this section, we describe the PST formulation for visual composite set detection.  ... 
arXiv:2105.02170v2 fatcat:z5dn6rrbxffkditvnh6icazkra

Integration and control of reactive visual processes

James L. Crowley
1995 Robotics and Autonomous Systems  
Such transformations may be used to control robotic devices, including fixation an active binocular head, as well as the to select and control the processes which interpret visual data.  ...  We then illustrate this approach with a system which detects and fixates on different classes of moving objects.  ...  The fixation controller uses the sum of the pan angles to set the head orientation φ 4 and the difference to set the vergence angles of the cameras.  ... 
doi:10.1016/0921-8890(95)00029-f fatcat:63tszevbt5d5lobyrknp6kmt7q

Monitoring Robust Estimates for Compositional Data

Valentin Todorov
2021 Austrian Journal of Statistics  
To illustrate the problem of monitoring compositional data and to demonstrate the usefulness of monitoring in this case we start with a simple example and then analyze a real life data set presenting the  ...  Various data transformations of compositional data have been introduced in the literature and theoretical results on the equivalence of the additive, the centered, and the isometric logratio transformation  ...  Acknowledgements The views expressed herein are those of the authors and do not necessarily reflect the views of the United Nations Industrial Development Organization (UNIDO).  ... 
doi:10.17713/ajs.v50i2.1067 fatcat:lg2f57n3xrhyhebkegevm46oz4

Learning to Assemble Neural Module Tree Networks for Visual Grounding [article]

Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha
2019 arXiv   pre-print
NMTree disentangles the visual grounding from the composite reasoning, allowing the former to only focus on primitive and easy-to-generalize patterns.  ...  Visual grounding, a task to ground (i.e., localize) natural language in images, essentially requires composite visual reasoning.  ...  The visual feature dimension d x was set to 3,072. For fair comparison, we also used VGG-16 [33] as the backbone and d x was set to 5,120. Parameter Settings.  ... 
arXiv:1812.03299v3 fatcat:3hnllxytpnb2hnjqu7vjda4p4m

Aesthetics in Digital Photography: A Survey

Madhura Phatak
2020 International Journal for Research in Applied Science and Engineering Technology  
., contours, shapes and regions. 3) High level attributes e.g. image composition, image content and sky attributes.  ...  Some of these visual pictures are very beautiful and aesthetically pleasing while the others are not so appealing.  ...  Canny edge detection and Sobel approaches are widely used for edge detection. B. Middle level Features Middle semantics is based on visual dictionary [4] .  ... 
doi:10.22214/ijraset.2020.2105 fatcat:voseaxud3rheliqpl4dckin33u

Web Content Extraction by Integrating Textual and Visual Importance of Web Pages

K. Nethra, J. Anitha
2014 International Journal of Computer Applications  
Hand-crafted rules cannot be applied for large number of source sets. 2.3Template detection Several procedures have been proposed for template detection [14] .  ...  Then the minimum text density of the node is set in the path from the maximum Density Sum tag to <body> tag as threshold.  ... 
doi:10.5120/15861-4785 fatcat:2fgwi4brcvf55h4oxue5v37pde

An Environment-Visualization System with Image-Based Retrieval and Distance Calculation Method

Yuka Toyoshima, Yasuhiro Hayashi, Yasushi Kiyoki
2019 International Journal of Information Technology Control and Automation  
We used Euclid calculation to calculate the similarity and show the results in the ranking format. ( 2 ) is the mapping function with using the spatio-temporal information which is accompanied with images  ...  This paper presents an environment-visualization system with image-based retrieval and distance calculation method as the first step of research for finding the "border".  ...  In addition, this system integrates and visualizes the analyzed results as a 5dimentional dynamic historic atlas (5D World Map Set).  ... 
doi:10.5121/ijitca.2019.9301 fatcat:fehrlkvdafbptpbqapbzz323aq

Defect Classification in Fabric Web Material using LabVIEW

G. Revathy, P. Vidhyalakshmi
2013 International Journal of Computer Applications  
Hence an automated defect detection method and feature extraction technique using GLCM using LabVIEW software is proposed.  ...  In COMPOSITION, all of the fuzzy subsets assigned to each output variable are combined together to form a single fuzzy subset for each output variable. Again, usually MAX or SUM are used.  ... 
doi:10.5120/10570-5665 fatcat:3ee7ucjy4bd7pboq2y72vn4aba

Automated detection of yarn orientation in 3D-draped carbon fiber fabrics and preforms from eddy current data

Georg Bardl, Andreas Nocke, Chokri Cherif, Matthias Pooch, Martin Schulze, Henning Heuer, Marko Schiller, Richard Kupke, Marcus Klein
2016 Composites Part B: Engineering  
For an intuitive visualization and analysis of the determined yarn orientation, reference yarn paths are reconstructed from the determined yarn angles.  ...  A 2D Fast Fourier Transform is applied to local segments of the eddy current image to determine the local yarn orientation.  ...  Acknowledgment This research was funded by the European Union Regional Development Fund (EFRE) and the Free State of Saxony (grant "3D-Fast", number 100224749).  ... 
doi:10.1016/j.compositesb.2016.04.040 fatcat:o4q7qwvqfbakhgxwdm37oqdaye

Urban change monitoring from multi-temporal TerraSAR-X images

Wen Liu, Fumio Yamazaki
2011 2011 Joint Urban Remote Sensing Event  
Then an aerial photograph taken during the construction and the visually detected results are used to verify the accuracy of the results. I.  ...  Then a new factor that composites the difference and correlation coefficient is proposed to detect the changes. The Tokyo international airport expansion construction is used as a case study.  ...  VERIFICATION A manual (visual) detection was applied using the color composited images shown in Fig. 5 and the aerial photograph, to verify the accuracy.  ... 
doi:10.1109/jurse.2011.5764773 dblp:conf/jurse/LiuY11 fatcat:h4azfnltx5he7pxzb2d2aa2hhm

Statistical Analysis of Chemical Element Compositions in Food Science: Problems and Possibilities

Matthias Templ, Barbara Templ
2021 Molecules  
values and non-detects.  ...  In this study, compositional data analysis (CoDa), which is widely used in other research fields, is compared with classical statistical analysis to demonstrate how the results vary depending on the approach  ...  By setting κ = 1, a composition x with any arbitrary sum of parts is rescaled to a composition C 1 (x) with the component sum equal to one.  ... 
doi:10.3390/molecules26195752 pmid:34641296 pmcid:PMC8510397 fatcat:6ee3btxznbglpf47sqlfpeliya

An Environment-Visualization System with Image-Based Retrieval and Distance Calculation Method

Yuka Toyoshima, Yasuhiro Hayashi, Yasushi Kiyoki
2019 Zenodo  
We used Euclid calculation to calculate the similarity and show the results in the ranking format. (2) is the mapping function with using the spatio-temporal information which is accompanied with images  ...  This paper presents an environment-visualization system with image-based retrieval and distance calculation method as the first step of research for finding the "border".  ...  In addition, this system integrates and visualizes the analyzed results as a 5dimentional dynamic historic atlas (5D World Map Set).  ... 
doi:10.5281/zenodo.3361127 fatcat:fryrlq46tzgjthmxccovspule4

Multiexposure Composition of Images using Gradient Extraction

Niraja J Shenoy, Monisha Menon
2015 International Journal of Engineering Research and  
This technique can also be used for concealed weapon detection, fusing of CT and MRI image etc. One of the advantage of this algorithm is it does not require much parameter tweaking.  ...  For this initially image registration is performed as a preprocessing step and to these set of images fusion is performed.  ...  Gradient is used because it conveys information about the latent scene and correctly detects edges. Section II gives overall idea of how multi exposure composition is performed.  ... 
doi:10.17577/ijertv4is050861 fatcat:c23pselkyzhhflc2qntsstdhyu

Realtime Aesthetic Image Retargeting [article]

Ligang Liu, Yong Jin, Qingbiao Wu
2010 Computational Aesthetics in Graphics  
A mesh-based warping scheme is presented to transform the images while protecting the visual appearance of salient objects.  ...  A simpler computational aesthetic energy is proposed and used to drive the salient objects and prominent lines to move towards their corresponding optimal positions.  ...  Thanks to the many Flickr.com users whose images were used in this paper.  ... 
doi:10.2312/compaesth/compaesth10/001-008 fatcat:wrysdzvjvngnzd2km5agx7tci4

Review on Mosaicing Techniques in Image Processing

R. Abraham, P. Simon
2013 2013 Third International Conference on Advanced Computing and Communication Technologies (ACCT)  
Creation of mosaic images from a sequence of partial views is a powerful means of obtaining a larger view of a scene than available within a single view, and it has been used in wide range of applications  ...  The tiles "tessellate" a source image with the purpose of reproducing the original visual information rendered into a new mosaic-like style.  ...  In the image composition part, a sharpness based selection process which composes a seamless and blur free mosaic for text content.  ... 
doi:10.1109/acct.2013.47 fatcat:w3ggcc4t2rhoppdwb2vynlw74u
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