Kodai Nakashima

According to our database, Kodai Nakashima authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Does Formula-Driven Supervised Learning Work on Small Datasets?

Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh

IEEE Access, 2023

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning.

Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation.

Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Scene Change Captioning in Real Scenarios.

Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka

Proceedings of the Artificial Intelligence in HCI, 2022

Replacing Labeled Real-image Datasets with Auto-generated Contours.

Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Can Vision Transformers Learn without Natural Images?

Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Can Vision Transformers Learn without Natural Images?

Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue

CoRR, 2021

Describing and Localizing Multiple Changes with Transformers.

Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection.

Hirokatsu Kataoka, Teppei Suzuki, Kodai Nakashima, Yutaka Satoh, Yoshimitsu Aoki

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020