This image shows Kaicong Sun

Kaicong Sun

M.Sc.

Research Assistant
ITI
Computational Imaging Systems

Contact

+49 711 685 88421
+49 711 685 78267

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 2.020

Office Hours

on appointment

  1. 2022

    1. Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model. A. Alsaffar; S. Kieß; K. Sun and S. Simon. 2022.
    2. Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections. Ammar Alsaffar; Kaicong Sun and Sven Simon. 2022.2022. DOI: https://doi.org/10.48550/ARXIV.2203.04587
    3. FL-MISR: fast large-scale multi-image super-resolution for computed tomography based on multi-GPU acceleration. Kaicong Sun; Trung-Hieu Tran; Jajnabalkya Guhathakurta and Sven Simon. Journal of Real-Time Image Processing 19, 2 (2022), pp. 331--344. DOI: https://doi.org/10.1007/s00138-014-0623-4
    4. An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution. Kaicong Sun; Maurice Koch; Zhe Wang; Slavisa Jovanovic; Hassan Rabah and Sven Simon. IEEE Transactions on Circuits and Systems for Video Technology 32, 4 (2022), pp. 1739–1750. DOI: https://doi.org/10.1109/TCSVT.2021.3080241
    5. Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model. Ammar Alsaffar; Steffen Kieß; Kaicong Sun and Sven Simon. 2022.2022. DOI: https://doi.org/10.48550/ARXIV.2201.13191
  2. 2021

    1. Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising. Kaicong Sun and Sven Simon. IEEE Transactions on Signal Processing 69, (2021), pp. 6329–6341. DOI: https://doi.org/10.1109/TSP.2021.3127679
    2. Bilateral Spectrum Weighted Total Variation for Real-World Super Resolution and Image Denoising. K. Sun and S. Simon. (2021), pp. 1–13.
    3. FDRN: A fast deformable registration network for medical images. Kaicong Sun and Sven Simon. Medical Physics 48, 10 (2021), pp. 6453–6463. DOI: https://doi.org/10.1002/mp.15011
  3. 2020

    1. FDRN: Fast Deformable Image Registration Based on Unsupervised Convolutional Neural Networks. Kaicong Sun; Zhaowen Gong and Sven Simon. In Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography, Regensburg, Germany, 2020, pp. 202--205.
    2. Multi-frame Super-resolution Reconstruction based on Mixed Poisson-Gaussian Noise. K. Sun; T.-H. Tran; R. Krawtschenko and S. Simon. Signal Processing: Image Communication, Elsevier 82, (2020), pp. 1–10.
  4. 2019

    1. Spatial Resolution Enhancement Based on Detector Displacement for Computed Tomography. Kaicong Sun; Steffen Kieß and Sven Simon. In Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019), Padova, Italy, 2019, pp. 1--8.
    2. Multi-Branch Deep Residual Neural Networks for Enhancing the Spatial Resolution of 2D Computed Tomography Images. K. Sun; Y. Liu and S. Simon. 15th International Meeting on Fully Three-Dimensional Image Reconstruction (2019), pp. 2.
    3. Spatial Resolution Enhancement Based on Detector Displacement for Computed Tomography. K. Sun; S. Kieß and S. Simon. In 9th Conference on Industrial Computed Tomography, 2019, pp. 1–8.
  5. 2018

    1. GPU-Accelerated Light-Field Image Super-Resolution. Trung-Hieu Tran; Gasim Mammadov; Kaicong Sun and Sven Simon. In 2018 International Conference on Advanced Computing and Applications (ACOMP), 2018, pp. 7–13. DOI: https://doi.org/10.1109/ACOMP.2018.00010
  6. 2016

    1. CAD model reconstruction for electromagnetic field simulations by using computed tomography scans. J. Hillebrand; S. Kieß; K. Sun and S. Simon. Dimensional X-ray Computed Tomography Conference, NPL, UK.2016.
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