no code implementations • 15 Apr 2021 • Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib
The main progress for action segmentation comes from densely-annotated data for fully-supervised learning.
Ranked #18 on
Action Segmentation
on Breakfast
1 code implementation • CVPR 2020 • Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira
Despite the recent progress of fully-supervised action segmentation techniques, the performance is still not fully satisfactory.
Ranked #13 on
Action Segmentation
on GTEA
no code implementations • 17 Dec 2019 • Renchun You, Zhiyao Guo, Lei Cui, Xiang Long, Yingze Bao, Shilei Wen
In order to overcome these challenges, we propose to use cross-modality attention with semantic graph embedding for multi label classification.
Ranked #8 on
Multi-Label Classification
on NUS-WIDE
1 code implementation • ICCV 2019 • Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu
Although great progress has been made to apply object-level recognition, recognizing the attributes of parts remains less applicable since the training data for part attributes recognition is usually scarce especially for internet-scale applications.
1 code implementation • CVPR 2018 • Hao-Min Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao
However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computational complexity.