AI/Data Technology Map

AI Lab

  • 国際

    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning

    Ukyo Honda, Taro Watanabe, Yuji Matsumoto

    （

    2023

    年）

  • 国際

    ACM Transactions on Evolutionary Learning and Optimization

    CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization

    Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

    （

    2024

    年）

  • 国際

    Computer Graphics Forum

    Garment Model Extraction from Clothed Mannequin Scan

    Qiqi Gao, Takafumi Taketomi

    （

    2023

    年）

  • 国際

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

    Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

    （

    2023

    年）

  • 国際

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    Towards Flexible Multi-modal Document Models

    Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

    （

    2023

    年）

  • 国際

    IEEE/CVF Conference onComputer Vision and Pattern Recognition (CVPR)

    Toward verifiable and reproducible human evaluation for text-to-image generation

    Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin’ichi Satoh

    （

    2023

    年）

  • 国際

    Eurographics (EG)

    Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition

    Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori

    （

    2023

    年）

  • 国際

    ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Out for In!: An Empirical Study on the Combination Power of Two Service Robots for Product Recommendation

    Sichao Song, Jun Baba, Okafuji Yuki, Junya Nakanishi, Yuichiro Yoshikawa, Hiroshi Ishiguro

    （

    2023

    年）

  • 国際

    International Symposium on Theoretical Aspects of Computer Science (STACS)

    Gap Preserving Reductions between Reconfiguration Problems

    Naoto Ohsaka

    （

    2023

    年）

  • 国際

    Artificial Intelligence and Statistics (AISTATS)

    Unified Perspective on Probability Divergence via the Density-Ratio Likelihood : Bridging KL-Divergence and Integral Probability Metrics

    Masahiro Kato, Masaaki Imaizumi, Kentaro Minami

    （

    2023

    年）