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Journal articles on the topic 'Net art'

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Published: 4 June 2021
Last updated: 22 February 2023

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1

Fourmentraux, Jean-Paul. "Net art." Communications 88, no. 1 (2011): 113. http://dx.doi.org/10.3917/commu.088.0113.

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2

Fourmentraux, Jean-Paul. "Le Net art." Médium 6, no. 1 (2006): 48. http://dx.doi.org/10.3917/mediu.006.0048.

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3

Ferrari, Roberto C. "Art on the Net." Journal of Library Administration 30, no. 1-2 (December 5, 2000): 39–62. http://dx.doi.org/10.1300/j111v30n01_05.

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4

Fourmentraux, Jean-Paul. "Les dispositifs du Net art." Techniques & culture, no. 48-49 (December 12, 2007): 269–302. http://dx.doi.org/10.4000/tc.2872.

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5

Vassileva, Biliana. "Au-delà du Net Art." Ligeia N°181-184, no. 2 (2020): 155. http://dx.doi.org/10.3917/lige.181.0155.

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6

Lafargue, Bernard. "Les sosies du Net Art." Ligeia N°181-184, no. 2 (2020): 166. http://dx.doi.org/10.3917/lige.181.0166.

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7

Andrews, Jim. "Site: Net Art at turbulence.org." American Book Review 27, no. 4 (2006): 19–35. http://dx.doi.org/10.1353/abr.2006.0148.

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8

Chen, Yu, and Clemence Bondu. "High Art Down Net: Art Museums on Social Media." International Journal of the Inclusive Museum 16, no. 1 (2023): 31–52. http://dx.doi.org/10.18848/1835-2014/cgp/v16i01/31-52.

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9

Monteiro, Ilda. "Art." Convergences - Journal of Research and Arts Education 14, no. 27 (May 31, 2021): 143–55. http://dx.doi.org/10.53681/c1514225187514391s.27.60.

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O presente estudo de natureza teórica visa sobretudo questionar a Internet Art, tendo em conta as hipóteses, estratégias e caraterísticas da expressão artística face ao meio de atuação. Este trabalho pretende demonstrar a correlação entre arte e tecnologia, com destaque a Internet, como meio e espaço de criação artística através da internet art ou net art. A internet art resulta de uma rede de comunicação global e tecnológica, sendo apresentada enquanto meio de criação artística de obras virtuais, interativas e ilusórias. A partir deste enquadramento, são apresentadas e analisadas as características deste meio de comunicação, exemplificado através de várias obras da net art, a forma como os artistas apropriam estas mesmas características nos seus trabalhos, destacando a relação entre meio e prática artística. A arte de internet é, por sua vez, apresentada através de um estudo, cujas características estão direcionadas a tipologias e temáticas no contexto do desenvolvimento de novas possibilidades para a obra, para o artista e para o público. A relação entre a internet, enquanto meio de comunicação tecnológica, e a arte de internet, enquanto expressão artística contemporânea é compreendida através da análise da produção com base nas características que definem a rede. Procura-se, desta forma, destacar a importância da net art no seio da arte contemporânea, promovendo uma nova perspetiva para a compreensão da internet enquanto meio e espaço de criação artística.
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10

Fourmentraux, Jean-Paul. "Net Art et contre-culture numérique." Ligeia N°181-184, no. 2 (2020): 74. http://dx.doi.org/10.3917/lige.181.0074.

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11

Guez, Emmanuel. "Qu’est-ce que le Net Art ?" Ligeia N°181-184, no. 2 (2020): 86. http://dx.doi.org/10.3917/lige.181.0086.

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12

Palmiéri, Christine. "Le Net Art : paradoxes et résistances." Ligeia N°181-184, no. 2 (2020): 94. http://dx.doi.org/10.3917/lige.181.0094.

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13

서인애 and SeunghoPark. "A study on the boundary between Net art and Web art." Journal of Digital Design 8, no. 2 (April 2008): 487–96. http://dx.doi.org/10.17280/jdd.2008.8.2.047.

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14

Crispel, Aude. "La Petite e-entreprise du Net-art." Marges, no. 08 (October 15, 2008): 70–85. http://dx.doi.org/10.4000/marges.574.

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15

Fourmentraux, Jean-Paul. "Net art : Autoproduction artistique et critique numérique." Les Enjeux de l'information et de la communication N° 16/3B, S2 (September 2, 2016): 57–68. http://dx.doi.org/10.3917/enic.hs2.0057.

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16

Didier-Fèvre, Catherine. "Art et activisme urbain sur le net." L'Information géographique 76, no. 3 (2012): 102. http://dx.doi.org/10.3917/lig.763.0102.

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17

Turki, Ramzi. "Le Net Art au temps du confinement." Ligeia N°181-184, no. 2 (2020): 67. http://dx.doi.org/10.3917/lige.181.0067.

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18

김형년. "Net art Character as ambiguity of dialogue." Journal of Korea Design Knowledge ll, no. 18 (June 2011): 11–22. http://dx.doi.org/10.17246/jkdk.2011..18.002.

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19

O'Neill, Timothy. "Oracular Art and the Global Telecommunications Net." Leonardo 24, no. 2 (1991): 159. http://dx.doi.org/10.2307/1575287.

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20

Danilyuk, Alexander. "Creation of global educational net." Lifelong education: the XXI century 17, no. 1 (March 2017): 1–21. http://dx.doi.org/10.15393/j5.art.2017.3424.

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21

Seunghwan Lee. "Digital Gene Analysis Based on Net Art Evolutions." Journal of Digital Design 8, no. 2 (April 2008): 89–98. http://dx.doi.org/10.17280/jdd.2008.8.2.009.

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22

Dekker, Annet. "Assembling traces, or the conservation of net art." NECSUS. European Journal of Media Studies 3, no. 1 (January 1, 2014): 171–93. http://dx.doi.org/10.5117/necsus2014.1.dekk.

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23

Padula, Marco, and Amanda Reggiori. "Art teams up with technology through the net." Interactions 6, no. 4 (July 1999): 40–50. http://dx.doi.org/10.1145/306412.306432.

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24

Assarsson-Rizzi, Kerstin. "Viewpoint: IFLA Art Libraries Section widens its net." Art Libraries Journal 30, no. 3 (2005): 3–4. http://dx.doi.org/10.1017/s0307472200014000.

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25

White, Michele. "The Aesthetic Of Failure: Net Art Gone Wrong." Angelaki 7, no. 1 (April 2002): 173–94. http://dx.doi.org/10.1080/09697250220142119.

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26

Schmidt-Burkhardt, Astrit. "Net-Working with Maciunas." Leonardo 44, no. 3 (June 2011): 256–57. http://dx.doi.org/10.1162/leon_a_00178.

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The history of networking in art took on a new quality in the 1960s with George Maciunas. His sophisticated Fluxus diagrams link together the most heterogeneous knowledge cultures, artistic trends and artists. Later, in the 1980s, when the ascendancy of the computer launched the concept of the network it became clear that the social network had been one of the chief characteristics of Fluxus. In fact, Maciunas built up an international, but selective network of contacts, which he then subjected to the explosive potential of his pictorial representations.
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27

Kim, Hyung-Nyun. "Fluid Interaction of Digital Media -Based on Net Art-." Journal of the Korea Contents Association 7, no. 5 (May 28, 2007): 193–201. http://dx.doi.org/10.5392/jkca.2007.7.5.193.

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28

Ji Yong Park. "Design principles for interactive user experience through net art." Journal of Digital Design 7, no. 3 (July 2007): 47–55. http://dx.doi.org/10.17280/jdd.2007.7.3.005.

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29

Drouhin, Reynald, and Jean-Paul Fourmentraux. "Les Coulisses de l'œuvre Net art : des Frags Process." Ligeia N°45-48, no. 1 (2003): 116. http://dx.doi.org/10.3917/lige.045.0116.

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30

Fourmentraux, Jean-Paul. "Archéologie de l’oeuvre Net art : une esthétique du fragment." RACAR : Revue d'art canadienne 31, no. 1-2 (2006): 19. http://dx.doi.org/10.7202/1069620ar.

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31

Chen, D. S., H. C. Chen, and J. M. Park. "An improved ART neural net for machine cell formation." Journal of Materials Processing Technology 61, no. 1-2 (August 1996): 1–6. http://dx.doi.org/10.1016/0924-0136(96)02457-0.

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32

Men, Yifang, Yuan Yao, Miaomiao Cui, Zhouhui Lian, and Xuansong Xie. "DCT-net." ACM Transactions on Graphics 41, no. 4 (July 2022): 1–9. http://dx.doi.org/10.1145/3528223.3530159.

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This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (~100), the new architecture can produce high-quality style transfer results with advanced ability to synthesize high-fidelity contents and strong generality to handle complicated scenes (e.g., occlusions and accessories). Moreover, it enables full-body image translation via one elegant evaluation network trained by partial observations (i.e., stylized heads). Few-shot learning based style transfer is challenging since the learned model can easily become overfitted in the target domain, due to the biased distribution formed by only a few training examples. This paper aims to handle the challenge by adopting the key idea of "calibration first, translation later" and exploring the augmented global structure with locally-focused translation. Specifically, the proposed DCT-Net consists of three modules: a content adapter borrowing the powerful prior from source photos to calibrate the content distribution of target samples; a geometry expansion module using affine transformations to release spatially semantic constraints; and a texture translation module leveraging samples produced by the calibrated distribution to learn a fine-grained conversion. Experimental results demonstrate the proposed method's superiority over the state of the art in head stylization and its effectiveness on full image translation with adaptive deformations. Our code is publicly available at https://github.com/menyifang/DCT-Net.
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33

García Manso, Almudena. "Cibersociedad, net art, ciberfeminismo y cibercultura: el cuerpo en internet." Revista de Ciencias de la Comunicación e Información 4 (April 30, 2021): 45–54. http://dx.doi.org/10.35742/rcci.1999.4.e217.

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La expresión artística en el ciberespacio da a conocer una nueva imagen del cuerpo, icono por ende del arte a lo largo de la historia de la humanidad, dicho icono ve cómo su dimensión se modifica merced el uso de las Tecnologías de la Información y las Comunicaciones. Las posibilidades que estas tecnologías proporcionan han posibilitado un cuerpo obra de arte en el ciberespacio, merced a las performances propias del Net Art. El cuerpo y la obra de arte en esta dimensión virtual adquiere una dimensión de deslocalización que antes no poseían.Así como el Net Art ciberfeminista permite una visión de la identidad de género virtual que viene dado por la performatividad de la representación corporal de los sujetos mediante el Net art.
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34

Brecher, Kenneth, and Philip Sadler. "The MicroObservatory Net." International Astronomical Union Colloquium 162 (1998): 37. http://dx.doi.org/10.1017/s0252921100114770.

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Beginning in 1990, a group of scientists, engineers and educators based at the Harvard-Smithsonian Center for Astrophysics (CfA) developed a prototype of a small, inexpensive and fully integrated automated astronomical telescope and image processing system. The MicroObservatory combines the imaging power of a cooled CCD, with a self contained and weatherized reflecting optical telescope and mount. A microcomputer points the telescope and processes the captured images. Software for computer control, pointing, focusing, filter selection as well as pattern recognition have also been developed. The telescope was designed to be used by teachers for classroom instruction, as well as by students for original scientific research projects. Probably in no other area of frontier science is it possible for a broad spectrum of students (not just the gifted) to have access to state-of-the-art technologies that allow for original research projects. The MicroObservatory has also been designed to be used as a valuable new capture and display device for real-time astronomical imaging in planetariums and science museums.
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35

Menéndez Cuesta, Vanesa. "T@pped into the W3rldWideWeb: C0nfigur-ing [Net(I)Ana(S)]." EXtREme 21 Going Beyond in Post-Millennial North American Literature and Culture, no. 15 (Autumn 2021) (November 20, 2021): 217–25. http://dx.doi.org/10.7311/pjas.15/2/2021.02.

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The purpose of this paper is to explore the ways in which loneliness has become the epitome of contemporary human condition for the Millennial generation, together with its impact on the psychological and emotional side of human expression and the urban landscape, as expressed through art and the virtual. Modern megacities are shaping and configuring what we nowadays understand as art. In the case of Alt [C]Lit poets, whether it is New York City or Los Angeles, the US urban landscape has a great influence on how these young authors have configured their poetic production: their experiences and referents belong to these cities. In this paper, I would like to discuss how spaces, especially urban spaces, have generated physical isolation and have transitioned into a mental landscape, to which the virtual contributes to increase anxious alienation that manifests itself through the body and the configuration of human subjectivities. Therefore, I will analyze hypermodern identity/ies that result from the urban landscape of megalopolises, the manner in which the virtual has generated online communities and has contributed to (hyper)sexualization, and the way in which Zafra’s concept of netianas can be applied in order to analyze the paradoxical position of loneliness and early-adulthood through the Alt [C]Lit poetry and other related-literary and visual production.
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36

Riot, Elen. "L’œuvre virale. Net art et culture hacker, J.-P. Fourmentraux." Sociologie du travail 56, no. 2 (June 1, 2014): 272–74. http://dx.doi.org/10.4000/sdt.4087.

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37

Ben Ticha, Hamza, Nabil Absi, Dominique Feillet, and Alain Quilliot. "Vehicle routing problems with road-network information: State of the art." Networks 72, no. 3 (February 6, 2018): 393–406. http://dx.doi.org/10.1002/net.21808.

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38

Gutiérrez Marx, Graciela G. "Invisible Artists, or the Net Without a Fisherman … (My Life in Mail Art)." ARTMargins 1, no. 2–3 (June 2012): 147–51. http://dx.doi.org/10.1162/artm_a_00018.

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Perhaps we can think that mail art derives from Dada and link it to Fluxus, Filliou's proposal of an eternal network, and the highly innovative poetry and experimental art, born at the same time in different countries. GGMarx practiced collective creation, in poor areas of the southern cone of South America. In a broader and ideologically more sensitive context, a folk art appeared, thanks to the popular struggles in Cuba, México, Brazil, Chile, Bolivia, Peru, Nicaragua, Venezuela, Uruguay, Colombia, Ecuador and Argentina. The liberation movements, developed during the seventies, have marked the direction of Latin American mail-art intercourse. But they acquired their real strength in Argentina in 1976, when the Military Terrorist State was implanted and started the time of art = life.
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39

Iqbal, Shahzaib, Syed S. Naqvi, Haroon A. Khan, Ahsan Saadat, and Tariq M. Khan. "G-Net Light: A Lightweight Modified Google Net for Retinal Vessel Segmentation." Photonics 9, no. 12 (November 30, 2022): 923. http://dx.doi.org/10.3390/photonics9120923.

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In recent years, convolutional neural network architectures have become increasingly complex to achieve improved performance on well-known benchmark datasets. In this research, we have introduced G-Net light, a lightweight modified GoogleNet with improved filter count per layer to reduce feature overlaps, hence reducing the complexity. Additionally, by limiting the amount of pooling layers in the proposed architecture, we have exploited the skip connections to minimize the spatial information loss. The suggested architecture is analysed using three publicly available datasets for retinal vessel segmentation, namely DRIVE, CHASE and STARE datasets. The proposed G-Net light achieves an average accuracy of 0.9686, 0.9726, 0.9730 and F1-score of 0.8202, 0.8048, 0.8178 on DRIVE, CHASE, and STARE datasets, respectively. The proposed G-Net light achieves state-of-the-art performance and outperforms other lightweight vessel segmentation architectures with fewer trainable number of parameters.
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40

Fu, Ya Nan, and Hai Tao Mao. "Construction Technology Research on Super Glass Curtain Wall of the Henan Art Center." Applied Mechanics and Materials 170-173 (May 2012): 3212–15. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3212.

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Henan Art Center has a new curtain wall structure - the structure cable net glass wall. Because of the cable net structure for glass curtain wall construction and design difficulties, the design of curtain wall performance to deepen the main points of cable net structural wall of the working principle, design connections, cable net structural wall of the cable construction steps, cable pre-stressing and tension when the technical parameters and under the glass curtain wall materials and installation was introduced. And the main factors affecting the performance curtain wall and the cable tension when the ambient temperature and the tension stress was studied. The results showed that the construction program was optimize and construction quality and safety was ensure.
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41

Rehman, Mobeen Ur, SeungBin Cho, Jee Hong Kim, and Kil To Chong. "BU-Net: Brain Tumor Segmentation Using Modified U-Net Architecture." Electronics 9, no. 12 (December 21, 2020): 2203. http://dx.doi.org/10.3390/electronics9122203.

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The semantic segmentation of a brain tumor is of paramount importance for its treatment and prevention. Recently, researches have proposed various neural network-based architectures to improve the performance of segmentation of brain tumor sub-regions. Brain tumor segmentation, being a challenging area of research, requires improvement in its performance. This paper proposes a 2D image segmentation method, BU-Net, to contribute to brain tumor segmentation research. Residual extended skip (RES) and wide context (WC) are used along with the customized loss function in the baseline U-Net architecture. The modifications contribute by finding more diverse features, by increasing the valid receptive field. The contextual information is extracted with the aggregating features to get better segmentation performance. The proposed BU-Net was evaluated on the high-grade glioma (HGG) datasets of the BraTS2017 Challenge—the test datasets of the BraTS 2017 and 2018 Challenge datasets. Three major labels to segmented were tumor core (TC), whole tumor (WT), and enhancing core (EC). To compare the performance quantitatively, the dice score was utilized. The proposed BU-Net outperformed the existing state-of-the-art techniques. The high performing BU-Net can have a great contribution to researchers from the field of bioinformatics and medicine.
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42

Yang, Jiangxin, Binjie Ding, Zewei He, Gang Pan, Yanpeng Cao, Yanlong Cao, and Qian Zheng. "ReDDLE-Net: Reflectance Decomposition for Directional Light Estimation." Photonics 9, no. 9 (September 15, 2022): 656. http://dx.doi.org/10.3390/photonics9090656.

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The surfaces of real objects can visually appear to be glossy, matte, or anywhere in between, but essentially, they display varying degrees of diffuse and specular reflectance. Diffuse and specular reflectance provides different clues for light estimation. However, few methods simultaneously consider the contributions of diffuse and specular reflectance for light estimation. To this end, we propose ReDDLE-Net, which performs Reflectance Decomposition for Directional Light Estimation. The primary idea is to take advantage of diffuse and specular clues and adaptively balance the contributions of estimated diffuse and specular components for light estimation. Our method achieves a superior performance advantage over state-of-the-art directional light estimation methods on the DiLiGenT benchmark. Meanwhile, the proposed ReDDLE-Net can be combined with existing calibrated photometric stereo methods to handle uncalibrated photometric stereo tasks and achieve state-of-the-art performance.
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43

Post, Colin. "The Art of Digital Curation." Archivaria, no. 92 (January 6, 2022): 6–47. http://dx.doi.org/10.7202/1084738ar.

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Artists have long engaged with digital and networked technologies in critical and creative ways to explore both new art forms and novel ways of disseminating artworks. Net-based artworks are often created with the intent to circulate outside traditional institutional spaces, and many are shared via artist-run platforms that involve curatorial practices distinct from those of museums or commercial galleries. This article focuses on a particular artist-run platform called Paper-Thin, characterizing the activities involved in managing the platform as digital curation in a polysemous sense – as both the curation of digital artworks and the stewardship of digital information in a complex technological ecosystem. While scholars and cultural heritage professionals have developed innovative preservation strategies for digital and new media artworks housed in institutional collections, the ongoing care of artworks shared through networked alternative spaces is largely carried out co-operatively by the artists and curators of these platforms. Drawing on Howard Becker’s sociological theory of art worlds as networks of co-operative actors, this article describes the patterns of co-operative work involved in creating, exhibiting, and then caring for Net-based art. The article outlines the importance, for cultural heritage professionals, of understanding the digital-curation practices of artists, as these artist-run networked platforms demonstrate emergent approaches to the stewardship of digital culture that move beyond a custodial paradigm.
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44

Chen, Ching-chih. "Global Memory Net and World Heritage Memory Net: documenting and preserving threatened cultures." Art Libraries Journal 33, no. 2 (2008): 21–28. http://dx.doi.org/10.1017/s0307472200015315.

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Global Memory Net is a multi-year digital library project supported by the International Digital Library Programme of the US National Science Foundation. It has already digitally preserved and documented a number of art collections relating to indigenous groups, particularly in the Far East. So far it includes those of 56 ethnic groups in China and 54 minority ethnic groups in Vietnam; the Naxi Collection of the Library of Congress Asian Division; Taiwan Memory; and many others are included in its World Digital Collection which relate to relevant populations across the world. A more recent development is a partnership with UNESCO’s World Heritage Center: the establishment of the first virtual US World Heritage Digital Center, using Global Memory Net’s technology to provide multimedia and multilingual information on the 851 world heritage sites of 141 countries.
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45

Lerebours, Florence, Luc Cabel, and Jean-Yves Pierga. "Neoadjuvant Endocrine Therapy in Breast Cancer Management: State of the Art." Cancers 13, no. 4 (February 21, 2021): 902. http://dx.doi.org/10.3390/cancers13040902.

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Endocrine therapy is the mainstay of treatment in HR+/HER2- breast cancers, which represent about 70% of all breast cancers. Neoadjuvant therapy has been developed since the 1990s to address several issues, including breast-conserving surgery (BCS) and improvement of survival rates. For a long time, neoadjuvant endocrine therapy (NET) was confined to frail patients in order to improve surgery outcome. Since the 2000s, NET now plays a central role as a research tool for predictive endocrine sensitivity biomarkers and targeted therapies. One of the major issues in early HR+/HER2- breast cancer is to identify patients in whom chemotherapy can be safely withheld. In vivo assessment of response to NET might be the best treatment strategy to address this issue.
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46

Prado, Gilbertto. "Artistic Experiments on Telematic Nets: Recent Experiments in Multi-User Virtual Environments in Brazil." Leonardo 37, no. 4 (August 2004): 297–302. http://dx.doi.org/10.1162/0024094041724481.

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The author explores the transformation and derivations in the field of artistic experimentation on the Net. The article examines the accomplishments artists have made with the “new poetics” of the dynamic universe of telematic art, expressed in contemporary artistic production. The text introduces five distinctive projects in multi-user virtual environments that were recently produced in Brazil and then places the projects within the more general context of art on the Net.
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47

Xiao, Xiao, Fan Yang, and Amir Sadovnik. "MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection." Sensors 21, no. 5 (March 8, 2021): 1873. http://dx.doi.org/10.3390/s21051873.

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A blur detection problem which aims to separate the blurred and clear regions of an image is widely used in many important computer vision tasks such object detection, semantic segmentation, and face recognition, attracting increasing attention from researchers and industry in recent years. To improve the quality of the image separation, many researchers have spent enormous efforts on extracting features from various scales of images. However, the matter of how to extract blur features and fuse these features synchronously is still a big challenge. In this paper, we regard blur detection as an image segmentation problem. Inspired by the success of the U-net architecture for image segmentation, we propose a multi-scale dilated convolutional neural network called MSDU-net. In this model, we design a group of multi-scale feature extractors with dilated convolutions to extract textual information at different scales at the same time. The U-shape architecture of the MSDU-net can fuse the different-scale texture features and generated semantic features to support the image segmentation task. We conduct extensive experiments on two classic public benchmark datasets and show that the MSDU-net outperforms other state-of-the-art blur detection approaches.
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48

Zhang, Hongbin, Xiang Zhong, Zhijie Li, Yanan Chen, Zhiliang Zhu, Jingqin Lv, Chuanxiu Li, Ying Zhou, and Guangli Li. "TiM-Net: Transformer in M-Net for Retinal Vessel Segmentation." Journal of Healthcare Engineering 2022 (July 11, 2022): 1–17. http://dx.doi.org/10.1155/2022/9016401.

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retinal image is a crucial window for the clinical observation of cardiovascular, cerebrovascular, or other correlated diseases. Retinal vessel segmentation is of great benefit to the clinical diagnosis. Recently, the convolutional neural network (CNN) has become a dominant method in the retinal vessel segmentation field, especially the U-shaped CNN models. However, the conventional encoder in CNN is vulnerable to noisy interference, and the long-rang relationship in fundus images has not been fully utilized. In this paper, we propose a novel model called Transformer in M-Net (TiM-Net) based on M-Net, diverse attention mechanisms, and weighted side output layers to efficaciously perform retinal vessel segmentation. First, to alleviate the effects of noise, a dual-attention mechanism based on channel and spatial is designed. Then the self-attention mechanism in Transformer is introduced into skip connection to re-encode features and model the long-range relationship explicitly. Finally, a weighted SideOut layer is proposed for better utilization of the features from each side layer. Extensive experiments are conducted on three public data sets to show the effectiveness and robustness of our TiM-Net compared with the state-of-the-art baselines. Both quantitative and qualitative results prove its clinical practicality. Moreover, variants of TiM-Net also achieve competitive performance, demonstrating its scalability and generalization ability. The code of our model is available at https://github.com/ZX-ECJTU/TiM-Net.
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49

Han, Xiaochen, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, and Linghe Kong. "Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 10933–40. http://dx.doi.org/10.1609/aaai.v34i07.6726.

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Snapshot compressive imaging (SCI) cameras capture high-speed videos by compressing multiple video frames into a measurement frame. However, reconstructing video frames from the compressed measurement frame is challenging. The existing state-of-the-art reconstruction algorithms suffer from low reconstruction quality or heavy time consumption, making them not suitable for real-time applications. In this paper, exploiting the powerful learning ability of deep neural networks (DNN), we propose a novel Tensor Fast Iterative Shrinkage-Thresholding Algorithm Net (Tensor FISTA-Net) as a decoder for SCI video cameras. Tensor FISTA-Net not only learns the sparsest representation of the video frames through convolution layers, but also reduces the reconstruction time significantly through tensor calculations. Experimental results on synthetic datasets show that the proposed Tensor FISTA-Net achieves average PSNR improvement of 1.63∼3.89dB over the state-of-the-art algorithms. Moreover, Tensor FISTA-Net takes less than 2 seconds running time and 12MB memory footprint, making it practical for real-time IoT applications.
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50

Gai, Di, Jiqian Zhang, Yusong Xiao, Weidong Min, Yunfei Zhong, and Yuling Zhong. "RMTF-Net: Residual Mix Transformer Fusion Net for 2D Brain Tumor Segmentation." Brain Sciences 12, no. 9 (August 27, 2022): 1145. http://dx.doi.org/10.3390/brainsci12091145.

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Due to the complexity of medical imaging techniques and the high heterogeneity of glioma surfaces, image segmentation of human gliomas is one of the most challenging tasks in medical image analysis. Current methods based on convolutional neural networks concentrate on feature extraction while ignoring the correlation between local and global. In this paper, we propose a residual mix transformer fusion net, namely RMTF-Net, for brain tumor segmentation. In the feature encoder, a residual mix transformer encoder including a mix transformer and a residual convolutional neural network (RCNN) is proposed. The mix transformer gives an overlapping patch embedding mechanism to cope with the loss of patch boundary information. Moreover, a parallel fusion strategy based on RCNN is utilized to obtain local–global balanced information. In the feature decoder, a global feature integration (GFI) module is applied, which can enrich the context with the global attention feature. Extensive experiments on brain tumor segmentation from LGG, BraTS2019 and BraTS2020 demonstrated that our proposed RMTF-Net is superior to existing state-of-art methods in subjective visual performance and objective evaluation.
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