116 citations · 290 across the 10 of their papers we have counts for
13 papers
Learning Gaussian Instance Segmentation in Point Clouds
Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu +2
This paper presents a novel method for instance segmentation of 3D point clouds. The proposed method is called Gaussian Instance Center Network (GICN), which can approximate the di…
Self-similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo +6
Delineation of cancerous regions in gigapixel whole slide images (WSIs) is a crucial diagnostic procedure in digital pathology. This process is time-consuming because of the large…
Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19
Yu-Chen Ho, Yi-Hsuan Chen, Shen-Hua Hung +7
How to avoid a second wave of COVID-19 after reopening the economy is a pressing question. The extremely high basic reproductive number (5.7 to 6.4, shown in new studies) of…
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
Chun-Fu Yeh, Hsien-Tzu Cheng, Andy Wei +20
We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a…
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
This paper aims to tackle the challenging problem of one-shot object detection. Given a query image patch whose class label is not included in the training data, the goal of the ta…
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan +3
With the development of deep learning, standard classification problems have achieved good results. However, conventional classification problems are often too idealistic. Most dat…