AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

no code implementations • 18 Mar 2022 • Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, Xian Wu

The acquired disease-grounded visual features can better represent the abnormal regions of the input image, which could alleviate data bias problem; 2) MGT module effectively uses the multi-grained features and Transformer framework to generate the long medical report.

Image Captioning Medical Report Generation

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

1 code implementation • 15 Jul 2021 • Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma

In this paper, we propose a novel COntrollable Arbitrary-Sampling neTwork, dubbed COAST, to solve CS problems of arbitrary-sampling matrices (including unseen sampling matrices) with one single model.

Compressive Sensing

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

1 code implementation • 21 Apr 2021 • Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, XiaoYu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

1 code implementation • 22 Mar 2021 • Di You, Jingfen Xie, Jian Zhang

While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene images in practical applications.

Compressive Sensing

Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation

no code implementations • 31 Aug 2020 • Thanh Tran, Di You, Kyumin Lee

Quaternion space has brought several benefits over the traditional Euclidean space: Quaternions (i) consist of a real and three imaginary components, encouraging richer representations; (ii) utilize Hamilton product which better encodes the inter-latent interactions across multiple Quaternion components; and (iii) result in a model with smaller degrees of freedom and less prone to overfitting.

Recommendation Systems

Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

1 code implementation • 7 Jan 2020 • Di You, Nguyen Vo, Kyumin Lee, Qiang Liu

To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e. g., Snopes. com and Politifact. com).

Fact Checking Graph Attention +1

Bridging the Gap between Training and Inference for Neural Machine Translation

no code implementations • ACL 2019 • Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu

Neural Machine Translation (NMT) generates target words sequentially in the way of predicting the next word conditioned on the context words.

Machine Translation NMT +1