activity
20182022
most citedUNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

27 citations · 37 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20225 cited

Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling

Dongsuk Oh, Yejin Kim, Hodong Lee +2

Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence represen…

eess.IV20211 cited

Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation

Huimin Huang, Ming Cai, Lanfen Lin +9

Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging a mass of studies for lung infection segmentation from CT images. Though many methods have been proposed fo…

cs.LG20204 cited

A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games

Ding Ding, H. Howie Huang

This work investigates the problem of multi-agents trajectory prediction. Prior approaches lack of capability of capturing fine-grained dependencies among coordinated agents. In th…

eess.IV202027 cited

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Huimin Huang, Lanfen Lin, Ruofeng Tong +6

Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widel…

cs.SI2018

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations

Shanqing Yu, Minghao Zhao, Chenbo Fu +4

In social networks, by removing some target-sensitive links, privacy protection might be achieved. However, some hidden links can still be re-observed by link prediction methods on…