no code implementations • CVPR 2023 • Kaiyuan Liu, Yunheng Li, Shenglan Liu, Chenwei Tan, Zihang Shao
Timestamp supervised temporal action segmentation (TSTAS) is more cost-effective than fully supervised counterparts.
1 code implementation • ResearchSquare 2022 • Kaiyuan Liu, Yuzhen Ye, Haixu Tang
The de novo peptide sequencing, which does not rely on a comprehensive target sequence database, provided us a way to identify novel peptides from tandem mass (MS/MS) spectra.
no code implementations • 21 Nov 2021 • Kaiyuan Liu, Xingyu Li, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo, Jisong Guan, Yi Zhou
Despite its great success, deep learning severely suffers from robustness; that is, deep neural networks are very vulnerable to adversarial attacks, even the simplest ones.
1 code implementation • Neurocomputing 2021 • Yunheng Li, Zhuben Dong, Kaiyuan Liu, Lin Feng, Lianyu Hu, Jie Zhu, Li Xu, YuHan Wang, Shenglan Liu
Due to boundary ambiguity and over-segmentation issues, identifying all the frames in long untrimmed videos is still challenging.
Ranked #12 on Action Segmentation on GTEA