
We propose an instance-wise control the attribute distributions in the generated images of diffusion models.
Apr 1, 2026

We develop ZeroPlantSeg, segmenting plant leaves and individuals without specific training.
Mar 6, 2026

We develop CattleAct, cattle interaction detection method via action recognition.
Mar 6, 2026
Congrats for Xing-san, Nakagawa-san & Yang-san for your great work!
Nov 19, 2025

We introduce a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating.
Oct 19, 2025

We develop NeuraLeaf, the first neural parametric model for 3D leaves for plant modeling and reconstruction.
Oct 19, 2025
Sep 29, 2025
Jul 11, 2025

The ultimate goal of this research is the complete virtualization of plants from sensing data, i.e., the generation of a plant digital twin. This research focuses particularly on technical elements related to computer vision, and reproduces not only the shape of the plant from a set of images taken of the plant, but also its branch and leaf structure, time-series changes, etc., including occluded areas. The virtualized plant model enables simulation and mapping to genes, and is a powerful tool for automating cultivation and accelerating breeding. This project is in progress under the following JST grants: 2021/04-2028/03 JST FOREST “PlantTwin: Reconstructing plants for breeding and cultivation” 2017/10-2021/09 JST PRESTO “Three-dimensional plant structure modeling and lifelog generation for growth analysis and prediction in future cultivation”
Jul 1, 2025
Congrats for Yang-san and Makabe-san for your great works! See you in Hawaii🌺
Jun 26, 2025