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I'm a PhD student at The University of Tokyo under the supervision of Professor Hideki Nakayama. I'm generally interested in computer vision and generative models, both from a theoretical and applied perspective. In particular, I've been working on/interested in the following areas:
As part of a double master's degree program, I graduated from RWTH Aachen University (supervised by Professor Jens-Rainer Ohm) and Keio University (supervised by Professor Yoshimitsu Aoki). During my internships at Rakuten Institute of Technology, Preferred Networks, LY Corporation, and Adobe Research I was able to gain valuable experience as a research scientist. I have also been collaborating with researchers from CyberAgent AI Lab on a joint research project. I expect to finish my PhD in September 2026 and am open to job or internship opportunities. |
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Research |
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LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama ECCV, 2024 Project Page / Code Flow Matching for Layout Generation provides a more geometrically intuitive approach, while also significantly speeding up the generation process. |
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PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color
Transformations
Julian Jorge Andrade Guerreiro, Mitsuru Nakazawa, Bjorn Stenger CVPR, 2023 Code We enable efficient full-resolution Image Harmonization by introducing pixel-wise color transformations (PCTs). Work was done while interning at Rakuten Institute of Technology. |
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Detection of Osteoarthritis from Multimodal Hand Data
Julian Jorge Andrade Guerreiro, Yoshimitsu Aoki, Shuntaro Saito, Katsuya Suzuki EMBC, 2022 We investigate the effectiveness of different modalities, namely RGB images, video, and thermal images, to detect Osteoarthritis. |
Work Experience |
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Adobe Research
LY Corporation
LY Corporation
Preferred Networks
Preferred Networks
University of Tokyo
Rakuten Insitute of Technology
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Education |
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University of Tokyo
M.Sc. in Electrical Engineering Oct 2020 - Mar 2022
RWTH Aachen University
RWTH Aachen University
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Reviewing |
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