Qibin Hou (侯淇彬)

Qibin Hou (侯淇彬)

Nankai University

Qibin Hou received his Ph.D. degree from Nankai University in 06/2019 under the supervision of Prof. Ming-Ming Cheng. From 08/2019 to 08/2021, I spent two wonderful years working with Dr. Jiashi Feng and Dr. Shuicheng Yan as a research fellow at National University of Singapore. Now, he is an associate professor at School of Computer Science, Nankai University, Tianjin, China. I am also with Nankai International Advanced Research Institute (Shenzhen Futian). 。

Research Interests：

My research covers a range of Computer Vision and Deep Learning. To be specific, my research concentrates on building AI models to help agents better see and understand the complex world.

Specific directions: Semantic Segmentation Object Detection Foundation Models

See my recent publications for more details.

For prospective students

If you are interested in the research topics in my group, welcome to drop an email. Note that before contacting me, you are supposed to have read [this] already.

We have several projects each year from the industry to ensure the applications of our research.

News

  • I am among the list of Highly Cited Chinese Researchers of 2023 in computer science
  • Five papers accepted by CVPR’24
  • Three papers accepted by ICLR’24 and AAAI’24
  • Three papers accepted by ICCV’23 and CVPR’23
  • Top 2% of Scientists on Stanford List
  • Five papers published in T-PAMI’2023

Group

Ph.D. Students

  • Zhaohui Zheng (Co-supervise with Ming-Ming Cheng)
  • Jiabao Wang (Co-supervise with Ming-Ming Cheng)
  • Boyuan Sun (Co-supervise with Prof. Xiuli Shao)
  • Hao Shao
  • Bowen Yin
  • Xuying Zhang (Co-supervise with Ming-Ming Cheng)

Master Students

  • Yupeng Zhou
  • Yuqi Yang (Co-supervise with Prof. Ming-Ming Cheng)
  • Yuming Chen (Co-supervise with Prof. Xiuli Shao)

Selected Journal Publications (Google Scholar)

“*” means authors contributed equally and “#” means corresponding author.

Vision permutator: A permutable mlp-like architecture for visual recognition

Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[Arxiv] [Code]

Volo: Vision outlooker for visual recognition

Li Yuan*, Qibin Hou*, Zihang Jiang*, Jiashi Feng, Shuicheng Yan

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[Arxiv] [Code]

Localization distillation for object detection

Zhaohui Zheng, Rongguang Ye, Qibin Hou#, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[Arxiv] [Code]

Deeply Supervised Salient Object Detection with Short Connections

Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip Torr

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

[Arxiv] [Code]

Selected Conference Publications (Google Scholar)

CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation

Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou#

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[Arxiv] [Code]

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection

Jiabao Wang*, Yuming Chen*, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou#

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[Arxiv] [Code]

Dformer: Rethinking rgbd representation learning for semantic segmentation

Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou#

International Conference on Learning Representations (ICLR), 2024

[Arxiv] [Code]

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou#

IEEE International Conference on Computer Vision (ICCV), 2023

[Arxiv] [Code]

Localization Distillation for Dense Object Detection

Zhaohui Zheng*, Rongguang Ye*, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou#, Ming-Ming Cheng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[Arxiv] [Code]

Coordinate attention for efficient mobile network design

Qibin Hou, Daquan Zhou, Jiashi Feng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[Arxiv] [Code]

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

[Arxiv] [Code]

A Simple Pooling-Based Design for Real-Time Salient Object Detection

Jiang-Jiang Liu*, Qibin Hou*, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

[Arxiv] [Code]

Self-Earsing Networks for Integral Object Attention

Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng

Advances in Neural Information Processing Systems (NeurIPS), 2018

[Arxiv] [Code]

Academic Services

  • VALSE 2022 Expo Chair
  • VALSE 2023 Expo Chair
  • Reviewers for TPAMI/TIP/CVPR/ICCV/NeurIPS/ICML/ICLR etc.

Honors and Awards

  • First prize in natural science, Ministry of Education, 2022.
  • Second prize in nature science, CAAI, 2020.