Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations
Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs
Progressive Perception-Oriented Network for Single Image Super-Resolution (Information Sciences 2021)
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Predictive Filter Flow for fully/self-supervised learning on various vision tasks
WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clustering.
Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, to appear in EMNLP 2019
