Soshi Shimada

According to our database, Soshi Shimada authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Decaf: Monocular Deformation Capture for Face and Hand Interactions.

Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Christian Theobalt

ACM Trans. Graph., December, 2023

MACS: Mass Conditioned 3D Hand and Object Motion Synthesis.

Soshi Shimada, Franziska Mueller, Jan Bednarík, Bardia Doosti, Bernd Bickel, Danhang Tang, Vladislav Golyanik, Jonathan Taylor, Christian Theobalt, Thabo Beeler

CoRR, 2023

Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model.

Erik C. M. Johnson, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks.

Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker

IEEE Trans. Pattern Anal. Mach. Intell., 2022

HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance.

Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt

Proceedings of the Computer Vision - ECCV 2022, 2022

UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture.

Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik

Proceedings of the Computer Vision - ECCV 2022, 2022

Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors.

Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Feng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes.

Zhi Li, Soshi Shimada, Bernt Schiele, Christian Theobalt, Vladislav Golyanik

Proceedings of the International Conference on 3D Vision, 2022

2021

Neural monocular 3D human motion capture with physical awareness.

Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt

ACM Trans. Graph., 2021

Gravity-Aware Monocular 3D Human-Object Reconstruction.

Rishabh Dabral, Soshi Shimada, Arjun Jain, Christian Theobalt, Vladislav Golyanik

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

PhysCap: physically plausible monocular 3D motion capture in real time.

Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Christian Theobalt

ACM Trans. Graph., 2020

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map.

Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fast Simultaneous Gravitational Alignment of Multiple Point Sets.

Vladislav Golyanik, Soshi Shimada, Christian Theobalt

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction.

Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies.

Soshi Shimada, Vladislav Golyanik, Edgar Tretschk, Didier Stricker, Christian Theobalt

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

HDM-Net: Monocular Non-rigid 3D Reconstruction with Learned Deformation Model.

Vladislav Golyanik, Soshi Shimada, Kiran Varanasi, Didier Stricker

Proceedings of the Virtual Reality and Augmented Reality, 2018