Search Results for author: Yingying Zhu

Found 25 papers, 8 papers with code

Automatic recognition of abdominal lymph nodes from clinical text

1 code implementation EMNLP (ClinicalNLP) 2020 Yifan Peng, SungWon Lee, Daniel C. Elton, Thomas Shen, Yu-Xing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald Summers, Zhiyong Lu

We then introduce an end-to-end approach based on the combination of rules and transformer-based methods to detect these abdominal lymph node mentions and classify their types from the MRI radiology reports.

Automated Generation of Accurate & Fluent Medical X-ray Reports

1 code implementation EMNLP 2021 Hoang Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng

Our paper aims to automate the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.

Medical Report Generation

Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework

no code implementations3 Nov 2022 Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu

In this paper, we formulate a novel clustering model, which exploits the non-negative feature property and, more importantly, incorporates the multi-view information into a unified joint learning framework: the unified multi-view orthonormal non-negative graph based clustering framework (Umv-ONGC).

See Blue Sky: Deep Image Dehaze Using Paired and Unpaired Training Images

2 code implementations14 Oct 2022 Xiaoyan Zhang, Gaoyang Tang, Yingying Zhu, Qi Tian

The issue of image haze removal has attracted wide attention in recent years.

Few-Shot Classification with Contrastive Learning

no code implementations17 Sep 2022 Zhanyuan Yang, Jinghua Wang, Yingying Zhu

In the meta-training stage, we propose a cross-view episodic training mechanism to perform the nearest centroid classification on two different views of the same episode and adopt a distance-scaled contrastive loss based on them.

Classification Contrastive Learning +2

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation

no code implementations13 Aug 2022 Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu

Existing video domain adaption (DA) methods need to store all temporal combinations of video frames or pair the source and target videos, which are memory cost expensive and can't scale up to long videos.

Domain Adaptation Graph Attention

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection

1 code implementation5 Aug 2022 Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada

Image restoration algorithms such as super resolution (SR) are indispensable pre-processing modules for object detection in low quality images.

Image Restoration object-detection +3

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis

no code implementations18 Jan 2022 Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu

To evaluate our proposed method's utility and privacy loss, we apply our model on a medical report disease label classification task using two noisy challenging clinical text datasets.

Inference Attack Membership Inference Attack +4

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images

no code implementations7 Jan 2022 Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada

Image restoration algorithms such as super resolution (SR) are indispensable pre-processing modules for object detection in degraded images.

Image Restoration object-detection +3

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data

no code implementations2 Dec 2021 Yifei HUANG, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato

Then we design a novel Auxiliary Attention Block (AAB) to allow information from SAN to be utilized by the backbone encoder to focus on selective areas.

Tumor Segmentation

Cross-view Geo-localization with Layer-to-Layer Transformer

no code implementations NeurIPS 2021 Hongji Yang, Xiufan Lu, Yingying Zhu

In this work, we address the problem of cross-view geo-localization, which estimates the geospatial location of a street view image by matching it with a database of geo-tagged aerial images.

Automated Generation of Accurate \& Fluent Medical X-ray Reports

1 code implementation27 Aug 2021 Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng

Our paper focuses on automating the generation of medical reports from chest X-ray image inputs, a critical yet time-consuming task for radiologists.

Cross-view Geo-localization with Evolving Transformer

no code implementations2 Jul 2021 Hongji Yang, Xiufan Lu, Yingying Zhu

In this work, we address the problem of cross-view geo-localization, which estimates the geospatial location of a street view image by matching it with a database of geo-tagged aerial images.

Focal Inverse Distance Transform Maps for Crowd Localization

3 code implementations16 Feb 2021 Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou

Most regression-based methods utilize convolution neural networks (CNN) to regress a density map, which can not accurately locate the instance in the extremely dense scene, attributed to two crucial reasons: 1) the density map consists of a series of blurry Gaussian blobs, 2) severe overlaps exist in the dense region of the density map.

Crowd Counting SSIM

E$^2$Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans

no code implementations19 Jul 2020 Youbao Tang, Yu-Xing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers

We introduce an edge prediction module in E$^2$Net and design an edge distance map between liver and tumor boundaries, which is used as an extra supervision signal to train the edge enhanced network.

Liver Segmentation Tumor Segmentation

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

no code implementations14 Jul 2020 Yingying Zhu, You-Bao Tang, Yu-Xing Tang, Daniel C. Elton, Sung-Won Lee, Perry J. Pickhardt, Ronald M. Summers

We expect the utility of our framework will extend to other problems beyond segmentation due to the improved quality of the generated images and enhanced ability to preserve small structures.

Image-to-Image Translation Pancreas Segmentation +1

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature

1 code implementation11 Jun 2020 Yifan Peng, Yu-Xing Tang, Sung-Won Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu

(1) We show that COVID-19-CT-CXR, when used as additional training data, is able to contribute to improved DL performance for the classification of COVID-19 and non-COVID-19 CT. (2) We collected CT images of influenza and trained a DL baseline to distinguish a diagnosis of COVID-19, influenza, or normal or other types of diseases on CT. (3) We trained an unsupervised one-class classifier from non-COVID-19 CXR and performed anomaly detection to detect COVID-19 CXR.

Anomaly Detection Computed Tomography (CT) +1

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection

no code implementations22 May 2020 Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers

In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.

Image Reconstruction object-detection +2

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentation

no code implementations MIDL 2019 Yingying Zhu, Daniel C. Elton, SungWon Lee, Perry J. Pickhardt, Ronald M. Summers

In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis.

Image Reconstruction object-detection +2

GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network

no code implementations12 Apr 2019 Bin Sun, Chen Chen, Yingying Zhu, Jianmin Jiang

The task of cross-view image geo-localization aims to determine the geo-location (GPS coordinates) of a query ground-view image by matching it with the GPS-tagged aerial (satellite) images in a reference dataset.

Image Retrieval Retrieval

Attention-based Pyramid Aggregation Network for Visual Place Recognition

no code implementations1 Aug 2018 Yingying Zhu, Jiong Wang, Lingxi Xie, Liang Zheng

Visual place recognition is challenging in the urban environment and is usually viewed as a large scale image retrieval task.

Image Retrieval Retrieval +1

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome

1 code implementation13 Mar 2018 Yingying Zhu, Mert R. Sabuncu

An additional layer of complexity is that, in real life, the amount and type of data available for each patient can differ significantly.

Bayesian Inference

Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces

no code implementations CVPR 2014 Yingying Zhu, Dong Huang, Fernando de la Torre, Simon Lucey

The task of estimating complex non-rigid 3D motion through a monocular camera is of increasing interest to the wider scientific community.

3D Reconstruction

Context-Aware Modeling and Recognition of Activities in Video

no code implementations CVPR 2013 Yingying Zhu, Nandita M. Nayak, Amit K. Roy-Chowdhury

This is motivated from the observations that the activities related in space and time rarely occur independently and can serve as the context for each other.

Motion Segmentation

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