Researcher Portfolio
Nishizawa, Takashi
Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society, Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society
Researcher Profile
Position: Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society
Position: Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society
Additional IDs: ORCID:
https://orcid.org/0000-0003-1804-2308
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons227100
External references
WorldCat
Search for Nishizawa, Takashi
Google Scholar
Search for Nishizawa, Takashi
Publications
: Ruan, L., Bálint, M., Bemana, M., Wolski, K., Seidel, H.-P., Myszkowski, K., & Chen, B. (2024). Self-Supervised Video Defocus Deblurring with Atlas Learning. In A. Burgano, D. Zorin, & W. Jarosz (Eds. ), Proceedings SIGGRAPH 2024 Conference Papers (pp. 1-11). New York, NY: ACM. doi:10.1145/3641519.3657524. [PubMan] : Ruan, L., Bemana, M., Seidel, H.-P., Myszkowski, K., & Chen, B. (2023). Revisiting Image Deblurring with an Efficient ConvNet. Retrieved from https://arxiv.org/abs/2302.02234. [PubMan] : Wang, C., Serrano, A., Pan, X., Chen, B., Seidel, H.-P., Theobalt, C., Myszkowski, K., & Leimkühler, T. (2023). GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild. In IEEE/CVF International Conference on Computer Vision (pp. 10475-10485). Piscataway, NJ: IEEE. doi:10.1109/ICCV51070.2023.00964. [PubMan] : Chen, B., Jindal, A., Piovarci, M., Wang, C., Seidel, H.-P., Didyk, P., Myszkowski, K., Serrano, A., & Mantiuk, R. K. (2023). The Effect of Display Capabilities on the Gloss Consistency between Real and Virtual Objects. In J. Kim, M. C. Lin, & B. Bickel (Eds. ), Proceedings SIGGRAPH Asia 2023 Conference Papers (pp. 1-11). New York, NY: ACM. [PubMan] : Wang, C., Serrano, A., Pan, X., Wolski, K., Chen, B., Myszkowski, K., Seidel, H.-P., Theobalt, C., & Leimkühler, T. (2023). An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range. ACM Transactions on Graphics, 42(6): 221, pp. 1-11. doi:10.1145/3618367. [PubMan] : Li, J., Chen, B., Zan, G., Qian, G., Pianetta, P., & Liu, Y. (2022). Subspace Modeling for Fast and High-sensitivity X-ray Chemical Imaging. Retrieved from https://arxiv.org/abs/2201.00259. [PubMan] : Chen, B., Piovarči, M., Wang, C., Seidel, H.-P., Didyk, P., Myszkowski, K., & Serrano, A. (2022). Gloss Management for Consistent Reproduction of Real and Virtual Objects. In S. K. Jung, J. Lee, & A. Bargteil (Eds. ), Proceedings SIGGRAPH Asia 2022 (pp. 1-9). New York, NY: ACM. doi:10.1145/3550469.3555406. [PubMan] : Wang, C., Serrano, A., Pan, X., Chen, B., Seidel, H.-P., Theobalt, C., Myszkowski, K., & Leimkühler, T. (2022). GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild. Retrieved from https://arxiv.org/abs/2211.12352. [PubMan] : Wang, C., Chen, B., Seidel, H.-P., Myszkowski, K., & Serrano, A. (2022). Learning a self-supervised tone mapping operator via feature contrast masking loss. Computer Graphics Forum, 41(2), 71-84. doi:10.1111/cgf.14459. [PubMan] : Ruan, L., Chen, B., Li, J., & Lam, M. (2022). Learning to Deblur using Light Field Generated and Real Defocus Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 16283-16292). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.01582. [PubMan] : Serrano, A., Chen, B., Wang, C., Piovarči, M., Seidel, H.-P., Didyk, P., & Myszkowski, K. (2021). The Effect of Shape and Illumination on Material Perception: Model and Applications. ACM Transactions on Graphics, 40(4): 125, pp. 1-16. doi:10.1145/3450626.3459813. [PubMan] : Chen, B., Wang, C., Piovarči, M., Seidel, H.-P., Didyk, P., Myszkowski, K., & Serrano, A. (2021). The Effect of Geometry and Illumination on Appearance Perception of Different Material Categories. The Visual Computer, 37, 2975-2987. doi:10.1007/s00371-021-02227-x. [PubMan] : Wang, C., Chen, B., Seidel, H.-P., Myszkowski, K., & Serrano, A. (2021). Learning a self-supervised tone mapping operator via feature contrast masking loss. Retrieved from https://arxiv.org/abs/2110.09866. [PubMan] : Ruan, L., Chen, B., Li, J., & Lam, M.-L. (2021). AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset. IEEE Transactions on Computational Imaging, 7, 675-688. doi:10.1109/TCI.2021.3092891. [PubMan]