no code implementations • 24 Feb 2024 • Dongqi Fan, Xin Zhao, Liang Chang
By leveraging the flexibility of ConStyle, we develop a \textbf{general restoration network} for image restoration.
no code implementations • 2 Feb 2024 • Dongqi Fan, Ting Yue, Xin Zhao, Liang Chang
Extensive experiments demonstrate that our LIR achieves comparable performance to state-of-the-art models with fewer parameters and computations in certain tasks.
1 code implementation • 2 Dec 2023 • Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang
In particular, the DTDBD consists of an unbiased teacher and a clean teacher that jointly guide the student model in mitigating domain bias and maintaining performance.
no code implementations • 29 Oct 2020 • Jindan Tan, Liang Chang, Tieyuan Liu*, Xuemei Zhao
To attract students’ interest, the recommendation system is applied by MOOC providers to recommend courses to students.
3 code implementations • 4 Dec 2019 • Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu
We first build a dataset serving as the seed of the multilingual sememe KB.
no code implementations • 7 Apr 2017 • Xiaoming Deng, Shuo Yang, yinda zhang, Ping Tan, Liang Chang, Hongan Wang
We propose a novel 3D neural network architecture for 3D hand pose estimation from a single depth image.
no code implementations • 8 Dec 2016 • Xiaoming Deng, Ye Yuan, Yinda Zhang, Ping Tan, Liang Chang, Shuo Yang, Hongan Wang
Hand detection is essential for many hand related tasks, e. g. parsing hand pose, understanding gesture, which are extremely useful for robotics and human-computer interaction.
no code implementations • 16 May 2014 • Liang Chang, Uli Sattler, Tianlong Gu
Following the idea of adaptation as revision, we firstly extend the logical basis for describing cases from propositional logic to the DL $\mathcal{EL_{\bot}}$, and present a formalism for adaptation based on $\mathcal{EL_{\bot}}$.