collaborators

5 papers

cs.CV2026

PlantRig - From Bones to Branches: Adaptation of Autoregressive Rigging Models for Plant Skeletal Reconstruction

Nathan Hu, Yang Yang, Fumio Okura

Autoregressive rigging models such as UniRig and SkinTokens perform well on articulated characters, but their ability to generalize to plant structures remains largely unexplored,…

cs.CV2025

Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention

Junhao Xing, Ryohei Miyakawa, Yang Yang +5

Foundation segmentation models achieve reasonable leaf instance extraction from top-view crop images without training (i.e., zero-shot). However, segmenting entire plant individual…

cs.CV2025

Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space

Ren Nakagawa, Yang Yang, Risa Shinoda +4

This paper introduces a method and application for automatically detecting behavioral interactions between grazing cattle from a single image, which is essential for smart livestoc…

cs.CV2025

GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants

Yang Yang, Risa Shinoda, Hiroaki Santo +1

We present a method for jointly recovering the appearance and internal structure of botanical plants from multi-view images based on 3D Gaussian Splatting (3DGS). While 3DGS exhibi…

cs.CV2025

NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement

Yang Yang, Dongni Mao, Hiroaki Santo +2

We develop a neural parametric model for 3D leaves for plant modeling and reconstruction that are essential for agriculture and computer graphics. While neural parametric models ar…