1 code implementation • ICCV 2021 • Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
Furthermore, we utilize differentiable Levenberg-Marquardt (LM) optimization to refine a pose fast and accurately by minimizing the feature-metric error between the input and rendered image representations without the need of zooming in.
Ranked #5 on 6D Pose Estimation using RGB on LineMOD
no code implementations • 30 Jul 2020 • Kento Doi, Ryuhei Hamaguchi, Shun Iwase, Rio Yokota, Yutaka Matsuo, Ken Sakurada
To cope with the difficulty, we introduce a deep graph matching network that establishes object correspondence between an image pair.
no code implementations • 10 Nov 2020 • Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani
We propose a method for incorporating object interaction and human body dynamics into the task of 3D ego-pose estimation using a head-mounted camera.
no code implementations • 21 Sep 2021 • Xingyu Liu, Shun Iwase, Kris M. Kitani
To address this problem, we propose a novel continuous representation called Keypoint Distance Field (KDF) for projected 2D keypoint locations.
no code implementations • ICCV 2021 • Xingyu Liu, Shun Iwase, Kris M. Kitani
We present a large-scale stereo RGB image object pose estimation dataset named the $\textbf{StereOBJ-1M}$ dataset.
no code implementations • 18 Jun 2022 • Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani
Since 2D third-person observations are coupled with the camera pose, we propose to disentangle the camera pose and use a multi-step projection gradient defined in the global coordinate frame as the movement cue for our embodied agent.
Ranked #306 on 3D Human Pose Estimation on Human3.6M
no code implementations • CVPR 2023 • Shun Iwase, Shunsuke Saito, Tomas Simon, Stephen Lombardi, Timur Bagautdinov, Rohan Joshi, Fabian Prada, Takaaki Shiratori, Yaser Sheikh, Jason Saragih
To achieve generalization, we condition the student model with physics-inspired illumination features such as visibility, diffuse shading, and specular reflections computed on a coarse proxy geometry, maintaining a small computational overhead.
no code implementations • 21 Mar 2024 • Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
We present a 3D shape completion method that recovers the complete geometry of multiple objects in complex scenes from a single RGB-D image.
no code implementations • 22 Apr 2024 • Mana Masuda, Jinhyung Park, Shun Iwase, Rawal Khirodkar, Kris Kitani
While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation for real-world applications.