Search Results for author: Hao Wei

Found 10 papers, 6 papers with code

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading

no code implementations27 Sep 2023 Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan

Building on this, a causality-inspired diabetic retinopathy grading framework named CauDR was developed to eliminate spurious correlations and achieve more generalizable DR diagnostics.

Diabetic Retinopathy Grading Domain Generalization

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation

1 code implementation25 Apr 2023 Peilun Shi, Jianing Qiu, Sai Mu Dalike Abaxi, Hao Wei, Frank P. -W. Lo, Wu Yuan

In this paper, we examine the recent Segment Anything Model (SAM) on medical images, and report both quantitative and qualitative zero-shot segmentation results on nine medical image segmentation benchmarks, covering various imaging modalities, such as optical coherence tomography (OCT), magnetic resonance imaging (MRI), and computed tomography (CT), as well as different applications including dermatology, ophthalmology, and radiology.

Computed Tomography (CT) Image Segmentation +3

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation

1 code implementation ICCV 2023 Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng

Specifically, we first point out the importance of algorithmic independence between two networks or branches in SSL, which is often overlooked in the literature.

Image Segmentation Medical Image Segmentation +1

Rethinking Blur Synthesis for Deep Real-World Image Deblurring

no code implementations28 Sep 2022 Hao Wei, Chenyang Ge, Xin Qiao, Pengchao Deng

In this paper, we examine the problem of real-world image deblurring and take into account two key factors for improving the performance of the deep image deblurring model, namely, training data synthesis and network architecture design.

Deblurring Image Deblurring

Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation

1 code implementation27 Oct 2021 Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra

AdaMEL models the attribute importance that is used to match entities through an attribute-level self-attention mechanism, and leverages the massive unlabeled data from new data sources through domain adaptation to make it generic and data-source agnostic.

Domain Adaptation Transfer Learning

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection

1 code implementation20 Jul 2021 Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Shouye Lv, Bitao Jiang

This paper therefore introduces S2Looking, a building-change-detection dataset that contains large-scale side-looking satellite images captured at various off-nadir angles.

Change Detection Management

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

no code implementations15 Sep 2020 Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji

We evaluate CorDEL with extensive experiments conducted on both public benchmark datasets and a real-world dataset.

Entity Resolution

AutoBlock: A Hands-off Blocking Framework for Entity Matching

1 code implementation7 Dec 2019 Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page

Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity.

Blocking Representation Learning

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