408 citations · 1.3k across the 10 of their papers we have counts for
11 papers
Revisiting Computer-Aided Tuberculosis Diagnosis
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang +3
Tuberculosis (TB) is a major global health threat, causing millions of deaths annually. Although early diagnosis and treatment can greatly improve the chances of survival, it remai…
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes
Yu-Huan Wu, Da Zhang, Le Zhang +4
Current efficient LiDAR-based detection frameworks are lacking in exploiting object relations, which naturally present in both spatial and temporal manners. To this end, we introdu…
P2T: Pyramid Pooling Transformer for Scene Understanding
Yu-Huan Wu, Yun Liu, Xin Zhan +1
Recently, the vision transformer has achieved great success by pushing the state-of-the-art of various vision tasks. One of the most challenging problems in the vision transformer…
Vision Transformers with Hierarchical Attention
Yun Liu, Yu-Huan Wu, Guolei Sun +3
This paper tackles the high computational/space complexity associated with Multi-Head Self-Attention (MHSA) in vanilla vision transformers. To this end, we propose Hierarchical MHS…
MobileSal: Extremely Efficient RGB-D Salient Object Detection
Yu-Huan Wu, Yun Liu, Jun Xu +3
The high computational cost of neural networks has prevented recent successes in RGB-D salient object detection (SOD) from benefiting real-world applications. Hence, this paper int…
EDN: Salient Object Detection via Extremely-Downsampled Network
Yu-Huan Wu, Yun Liu, Le Zhang +2
Recent progress on salient object detection (SOD) mainly benefits from multi-scale learning, where the high-level and low-level features collaborate in locating salient objects and…
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
Yu-Huan Wu, Yun Liu, Le Zhang +2
Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels. To this end, we pro…
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the infection, identifying and sep…
An Evaluation of Feature Matchers for Fundamental Matrix Estimation
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao +4
Matching two images while estimating their relative geometry is a key step in many computer vision applications. For decades, a well-established pipeline, consisting of SIFT, RANSA…
Scoot: A Perceptual Metric for Facial Sketches
Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu +5
Human visual system has the strong ability to quick assess the perceptual similarity between two facial sketches. However, existing two widely-used facial sketch metrics, e.g., FSI…
Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure
Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu +4
Existing face sketch synthesis (FSS) similarity measures are sensitive to slight image degradation (e.g., noise, blur). However, human perception of the similarity of two sketches…