Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images

1 code implementation • 8 Jul 2023 • Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu

Segmentation of the infected areas of the lung is essential for quantifying the severity of lung disease like pulmonary infections.

Image Segmentation Medical Image Segmentation +2

Adaptive Patch Exiting for Scalable Single Image Super-Resolution

1 code implementation • 22 Mar 2022 • Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo

Once the incremental capacity is below the threshold, the patch can exit at the specific layer.

Image Super-Resolution

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution

1 code implementation • 30 Nov 2021 • Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu

However, existing methods mostly train the DNNs on uniformly sampled LR-HR patch pairs, which makes them fail to fully exploit informative patches within the image.

Data Augmentation Image Super-Resolution

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation

1 code implementation • ICCV 2021 • Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu

Internet video delivery has undergone a tremendous explosion of growth over the past few years.

CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics

no code implementations • 8 Sep 2020 • Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu

It considers the importance of convolutional filters through both instability and sensitivity, and allows users to interactively create pruning plans according to a desired goal on model size or accuracy.