no code implementations • 21 Feb 2024 • Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sangbae Kim
Motion trajectories offer reliable references for physics-based motion learning but suffer from sparsity, particularly in regions that lack sufficient data coverage.
1 code implementation • 21 Dec 2023 • Yingzhou Lu, Minjie Shen, Yue Zhao, Chenhao Li, Fan Meng, Xiao Wang, David Herrington, Yue Wang, Tim Fu, Capucine van Rechem
With GenoCraft, researchers and data scientists have access to an array of cutting-edge bioinformatics tools under a user-friendly interface, making it a valuable resource for managing and analyzing large-scale omics data.
no code implementations • 22 Nov 2023 • Chenhao Li, Taishi Ono, Takeshi Uemori, Hajime Mihara, Alexander Gatto, Hajime Nagahara, Yusuke Moriuchi
To address this problem, we propose Neural Incident Stokes Fields (NeISF), a multi-view inverse rendering framework that reduces ambiguities using polarization cues.
no code implementations • 3 Oct 2023 • Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
We demonstrate the effectiveness of our method on a local navigation task where a quadruped robot needs to reach the target within a finite horizon.
1 code implementation • CVPR 2023 • Chenhao Li, Trung Thanh Ngo, Hajime Nagahara
To enhance the supervision of the proposed neural renderer, we also propose an augmented loss.
no code implementations • 15 Mar 2023 • Tao Liu, Zhi Wang, Hui He, Liangliang Lin, Wei Shi, Ran An, Chenhao Li
Experiments show that under different Non-IID experiment settings, our method can reduce the upload communication cost to about 2. 9% to 18. 9% of the conventional federated learning algorithm when the sparse rate is 0. 01.
no code implementations • 16 Sep 2022 • Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius
Learning diverse skills is one of the main challenges in robotics.
no code implementations • 23 Jun 2022 • Chenhao Li, Marin Vlastelica, Sebastian Blaes, Jonas Frey, Felix Grimminger, Georg Martius
Learning agile skills is one of the main challenges in robotics.