Kohsuke Ide

I'm a Research Scientist at AIST and a Master's student in Computer Science at University of Tsukuba, where I work at Satoh Lab. My research focuses on computer vision, particularly the intersection of Vision-Language Models (VLMs) and 3D representation.

I received my B.Sc. in Applied Mechanics and Aerospace Engineering (Minor: Computer Science) from Waseda University. Previously, I worked at Preferred Networks on 3D reconstruction and free-viewpoint video technologies.

Email / CV / Scholar / LinkedIn / Github / X

Research

I'm interested in computer vision, 3D understanding, and vision-language models. My research focuses on learning 3D representations and understanding spatial relationships using large language models. Some papers are highlighted.

	Beyond Single Object: Learning 3D Relations with Large Language Models Kohsuke Ide, Ryousuke Yamada, Yue Qiu, Xianzheng Ma, Yoshihiro Fukuhara, Hirokatsu Kataoka, Yutaka Satoh The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026 project page / arXiv / code / press release (jp) / press release (en) Investigating how large language models can learn and reason about 3D spatial relationships between multiple objects.
	3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds Ryousuke Yamada, Kohsuke Ide, Yoshihiro Fukuhara, Hirokatsu Kataoka, Gilles Puy, Andrei Bursuc, Yuki M. Asano The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 project page / arXiv / code Scalable 3D pre-training approach that generates point clouds from videos, eliminating the need for expensive 3D scans.
	Seeing Red, Thinking Bad: Color Bias in Vision Language Models Kohsuke Ide, Ryousuke Yamada, Yoshihiro Fukuhara, Hirokatsu Kataoka, Yutaka Satoh International Conference on Pattern Recognition (ICPR), 2026 project page / blog / code Investigating how color biases in vision language models affect their reasoning and decision-making.
	Colors You Can't See, Semantic Biases You Can't Ignore Kohsuke Ide, Ryousuke Yamada, Yoshihiro Fukuhara, Hirokatsu Kataoka, Yutaka Satoh The IEEE/CVF International Conference on Computer Vision (ICCV) Workshop on MMRAgI, 2025 Studying the sensitivity of vision-language models to visual styling of text.

Blog

Plato Is Not a Space
July 2026
Predictive interfaces, not universal embeddings: from PRH to video-text alignment, event semantics, and world models.

Where Do Good Vision Targets Come From?
June 2026
Notes in the margins of James Chen's pure-vision scaling post, after the CVPR Bitter Lessons workshop: the search for a vision scaling law is a search through targets, not losses.

Color as a Presentation Variable
April 2026
An interpretive companion to “Seeing Red, Thinking Bad”: reading color bias in vision language models through the Platonic and Umwelt hypotheses.

Experience

National Institute of Advanced Industrial Science and Technology (AIST)
Researcher, Jan 2024 - Present
Computer vision and pattern analysis research, focusing on VLMs and 3D representation.

Preferred Networks (PFN)
Researcher, Aug 2024 - Mar 2025
3D reconstruction and free-viewpoint video technologies.

LightBlue Technology
ML Engineer, Sep 2021 - Mar 2024
Developed light-weight object tracking algorithms for edge devices.

M3
MLOps Engineer, Sep 2023 - Oct 2023
Developed open-source solution for automatic Kubernetes OOM recovery.

Awards & Projects

MIRU 2025 Interactive Presentation Award (Top 4%) - "Can 3D Large Language Models Count to Three?"

Winner of 2023 Hackathon at WINC - Pushups Counter: Work out helper using computer vision for edge device.

Academic Service

Workshop Organizer - Workshop on Visual General Intelligence: Vision Research Toward the AGI Era, CVPR 2026

Template from Jon Barron's website.