Yun Liu 刘云

I am a PhD student at CCCE&CS, Nankai University (Tianjin, China). My advisor is Professor Ming-Ming Cheng. I received my bachelor degree from Nankai University in 2016. My research interest includes computer vision and machine learning (especially deep learning).

I have graduated, so this page has stopped updating. Please refer to https://yun-liu.github.io/ for updated information.

 

Selected Publications

  1. Richer Convolutional Features for Edge Detection, Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, and Jinhui Tang, IEEE TPAMI (CVPR’17), 2019. [Project page] [pdf] [bib] [Source code]
  2. Sequential Optimization for Efficient High-Quality Object Proposal Generation, Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, and Philip H.S. Torr, IEEE TPAMI, 2018. [pdf] [Source code]
  3. Nonlinear Regression via Deep Negative Correlation Learning, Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, and Zeng Zeng, IEEE TPAMI, 2020. [pdf] [Source code]
  4. Ordered or Orderless: A Revisit for Video based Person Re-Identification, Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, and Chunhua Shen, IEEE TPAMI, 2020. [pdf|code|bib]
  5. GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence, Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, and Ian Reid, IJCV, 2020. [pdf|bib|project|code]
  6. HFS: Hierarchical Feature Selection for Efficient Image Segmentation, Ming-Ming Cheng*, Yun Liu*, Qibin Hou, Jiawang Bian, Philip Torr, Shi-Min Hu, and Zhuowen Tu (* indicates joint first authors), ECCV, 2016. [project|pdf|bib|code]
  7. DEL: Deep Embedding Learning for Efficient Image Segmentation, Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng, IJCAI, 2018. [pdf|bib|project|code]
  8. 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]

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Amber

你好,想问下《Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation》这篇文章的代码开源么?

Liang

你好 想问一下你Semantic Edge Detection with Diverse Deep Supervision这篇文章能开源代码吗?

林殊

您好。请问Multicue dataset training 和test的split怎么划分啊?可以分享吗?谢谢

刘文哲

您好,请问您能提供Multicue数据集在edge detection任务中的groundtruth文件么?谢谢您了!

林殊

您好,请问Multicue的dataset training 和test set的split在哪里下载啊。

张明琦

您好,请问为什么邮箱格式有错误,就您发的rcf这篇论文有点问题想向您请教。

MM Cheng

这个问题太笼统,不知道如何回答。建议有问题在项目页面留言,别人有类似问题的也可以参考。