Yu-Huan Wu

According to our database, Yu-Huan Wu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Revisiting Computer-Aided Tuberculosis Diagnosis.

Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

2023

P2T: Pyramid Pooling Transformer for Scene Understanding.

Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Low-Resolution Self-Attention for Semantic Segmentation.

Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen

CoRR, 2023

Revisiting Computer-Aided Tuberculosis Diagnosis.

Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng

CoRR, 2023

2022

EDN: Salient Object Detection via Extremely-Downsampled Network.

Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren

IEEE Trans. Image Process., 2022

MobileSal: Extremely Efficient RGB-D Salient Object Detection.

Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.

Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes.

Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng

CoRR, 2022

BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement.

Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation.

Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng

IEEE Trans. Image Process., 2021

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.

Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng

IEEE Trans. Image Process., 2021

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

EDN: Salient Object Detection via Extremely-Downsampled Network.

Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng

CoRR, 2020

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng

CoRR, 2020

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.

Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng

CoRR, 2020

Rethinking Computer-Aided Tuberculosis Diagnosis.

Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An Evaluation of Feature Matchers forFundamental Matrix Estimation.

Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid

CoRR, 2019

Scoot: A Perceptual Metric for Facial Sketches.

Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

An Evaluation of Feature Matchers for Fundamental Matrix Estimation.

Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Face Sketch Synthesis Style Similarity: A New Structure Co-occurrence Texture Measure.

Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin

CoRR, 2018