276 citations · 387 across the 8 of their papers we have counts for
8 papers
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang, Jiawei Wu, Tao Wang +2
Despite the success of deep neural networks in medical image classification, the problem remains challenging as data annotation is time-consuming, and the class distribution is imb…
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang, Zhongzheng Huang, Jiawei Wu +2
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…
Spatio-Temporal Context Modeling for Road Obstacle Detection
Xiuen Wu, Tao Wang, Lingyu Liang +2
Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on spatio-temporal context modeling…
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang, Tao Wang, Yuanzheng Cai +1
The automatic detection of skin diseases via dermoscopic images can improve the efficiency in diagnosis and help doctors make more accurate judgments. However, conventional skin di…
Learning to Detect and Segment for Open Vocabulary Object Detection
Tao Wang, Nan Li
Open vocabulary object detection has been greatly advanced by the recent development of vision-language pretrained model, which helps recognize novel objects with only semantic cat…
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
Zhengyao Wen, Wenzhong Lin, Tao Wang +1
We present a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations. Firstly, multiple classes share…
A Multi-Level Approach to Waste Object Segmentation
Tao Wang, Yuanzheng Cai, Lingyu Liang +1
We address the problem of localizing waste objects from a color image and an optional depth image, which is a key perception component for robotic interaction with such objects. Sp…
Learning a Layout Transfer Network for Context Aware Object Detection
Tao Wang, Xuming He, Yuanzheng Cai +1
We present a context aware object detection method based on a retrieve-and-transform scene layout model. Given an input image, our approach first retrieves a coarse scene layout fr…