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Takuya Ikeda

9 papers hereh-index 473 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.RO4
same name
  • Takuya Ikeda — 9 papers, h 10
  • Takuya Ikeda — 4 papers, h 4
  • Takuya Ikeda — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World

Katherine Liu, Sergey Zakharov, Dian Chen +4

We would like to estimate the pose and full shape of an object from a single observation, without assuming known 3D model or category. In this work, we propose OmniShape, the first…

cs.CV2025

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity

Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad +8

We present a novel method for 6-DoF object tracking and high-quality 3D reconstruction from monocular RGBD video. Existing methods, while achieving impressive results, often strugg…

cs.RO2025

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping

Shun Iwase, Zubair Irshad, Katherine Liu +8

Robotic grasping is a cornerstone capability of embodied systems. Many methods directly output grasps from partial information without modeling the geometry of the scene, leading t…

cs.RO2025

Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics

Tianyi Ko, Takuya Ikeda, Balazs Opra +1

Grasp detection methods typically target the detection of a set of free-floating hand poses that can grasp the object. However, not all of the detected grasp poses are executable d…

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