Yaoxin Li — accepted AI-conference papers

2024

MCTS: A Multi-Reference Chinese Text Simplification Dataset

Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang +3

COLING 2024main

Text simplification aims to make the text easier to understand by applying rewriting transformations. There has been very little research on Chinese text simplification for a long time. The lack of generic evaluation data is an essential reason for this phenomenon. In this paper, we introduce MCTS,…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2021

Class Semantics-Based Attention for Action Detection

Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu

ICCV 2021poster

Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to features that are useful for the localization sub-network to generate reliable action proposals. While some of the encode…

Cited by 83 PDF ↗Scholar ↗