1 code implementation • ECCV 2020 • Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qi-Xing Huang, Karthik Ramani
We introduce a large-scale annotated mechanical components benchmark for classification and retrieval tasks named MechanicalComponents Benchmark (MCB): a large-scale dataset of 3D objects of mechanical components.
no code implementations • 1 Feb 2024 • Won-Hoe Kim, Bongjoong Kim, Hyung-gun Chi, Jae-Sang Hyun
In Fringe Projection Profilometry (FPP), achieving robust and accurate 3D reconstruction with a limited number of fringe patterns remains a challenge in structured light 3D imaging.
2 code implementations • 16 Oct 2023 • Seunggeun Chi, Hyung-gun Chi, QiXing Huang, Karthik Ramani
To overcome this barrier, we introduce InfoGCN++, an innovative extension of InfoGCN, explicitly developed for online skeleton-based action recognition.
1 code implementation • CVPR 2023 • Yi Xu, Armin Bazarjani, Hyung-gun Chi, Chiho Choi, Yun Fu
As far as we know, this is the first work to address the lack of benchmarks and techniques for trajectory imputation and prediction in a unified manner.
no code implementations • CVPR 2023 • Hyung-gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi
SALF is challenging because it requires understanding the underlying physics of video observations to predict future action locations accurately.
1 code implementation • CVPR 2022 • Hyung-gun Chi, Myoung Hoon Ha, Seunggeun Chi, Sang Wan Lee, QiXing Huang, Karthik Ramani
Human skeleton-based action recognition offers a valuable means to understand the intricacies of human behavior because it can handle the complex relationships between physical constraints and intention.
Ranked #7 on Skeleton Based Action Recognition on N-UCLA