1 code implementation • 3 Jun 2024 • Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin
Current methods of toxic language detection (TLD) typically rely on specific tokens to conduct decisions, which makes them suffer from lexical bias, leading to inferior performance and generalization.
no code implementations • 1 Apr 2024 • Shikai Li, Jianglin Fu, Kaiyuan Liu, Wentao Wang, Kwan-Yee Lin, Wayne Wu
We present CosmicMan, a text-to-image foundation model specialized for generating high-fidelity human images.
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 #13 on Action Segmentation on GTEA