Search Results for author: Liang Chang

Found 8 papers, 2 papers with code

IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer

no code implementations24 Feb 2024 Dongqi Fan, Xin Zhao, Liang Chang

By leveraging the flexibility of ConStyle, we develop a \textbf{general restoration network} for image restoration.

Contrastive Learning Deblurring +4

LIR: A Lightweight Baseline for Image Restoration

no code implementations2 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.

Image Restoration

Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection

1 code implementation2 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.

Fake News Detection Knowledge Distillation

Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance

no code implementations29 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.

Recommendation Systems

Hand3D: Hand Pose Estimation using 3D Neural Network

no code implementations7 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.

3D Hand Pose Estimation

Joint Hand Detection and Rotation Estimation by Using CNN

no code implementations8 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.

General Classification Hand Detection +2

Algorithm for Adapting Cases Represented in a Tractable Description Logic

no code implementations16 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 $\mathcal{EL_{\bot}}$.

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