Yu-Huan Wu 吴宇寰

Yu-Huan Wu 吴宇寰

I am a 4th-year Ph.D. candidate with the College of Computer Science, Nankai University (Tianjin, China). I am supervised by Professor Ming-Ming Cheng. I received my bachelor degree from Xidian University in 2018. My research interest includes computer vision and medical imaging.

E-mail: wuyuhuan (at) mail.nankai (dot) edu (dot) cn

My homepage has been moved to https://yuhuan-wu.github.io.

Google Scholar Here | Research Gate Here

Selected Publications

Notes: Joint first authors are indicated using # and corresponding authors are indicated using *.

2022

  1. 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 TPAMI, 2022. [pdf | bib | code | 中译版][ESI Highly Cited 1%]
  2. EDN: Salient Object Detection via Extremely-Downsampled Network, Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren, IEEE TIP, 2022. [pdf | code | 中译版]

2021

  1. MobileSal: Extremely Efficient RGB-D Salient Object Detection, Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yu-Chao Gu, Ming-Ming Cheng*, IEEE TPAMI, 2021. [pdf | bib | code | project | 中译版]
  2. JCS: An explainable COVID-19 diagnosis system by joint classification and segmentation, Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng*, IEEE TIP, 30:3897-3907, 2021. [pdf | code | data | project | bib | 中译版][ESI Hot 0.1%]
  3. Regularized Densely-connected Pyramid Network for Salient Instance Segmentation, Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng*, IEEE TIP, 30:3897-3907, 2021. [pdf | code | bib | 中译版]

2020

  1. Rethinking Computer-aided Tuberculosis Diagnosis, Yun Liu#, Yu-Huan Wu#, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng*, IEEE CVPR (Oral), 2020. [pdf | project | bib | Dataset on Google Drive | Dataset on Baidu Yunpan | Online Challenge | Video | PPT]

2019

  1. Scoot: A Perceptual Metric for Facial Sketches, Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng*, Bo Ren, Paul Rosin, Rongrong Ji, IEEE ICCV, 2019. [pdf|project|bib|中译版]
  2. 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, BMVC 2019. [pdf | project | code]

Services

Conference Reviewer: IEEE CVPR, IEEE ICCV, ECCV, NeurIPS, AAAI, IJCAI

Journal Reviewer: IEEE TPAMI, TIP, JHBI, TCSS, Information Fusion, MIR, Neurocomputing, JVCI

Honors

  • 2021.6 – Outstanding Reviewer of CVPR 2021
  • 2018.6 – Outstanding Graduate of Xidian University (GPA Rank 1st/60+)
  • 2015.11 – National Scholarship (1%)
  • 2015.10 – First Prize in CUMCM (1%, 292/28574). One of the First Outstanding 10 papers in CUMCM (0.035%, 10/28574)

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