基本信息

姓 名 ： 侯淇彬

性 别 ： 男

所属部门： 计算机科学与技术系

行政职务： 无

职 称 ： 副教授

学 历 ： 博士后

所学专业： 计算机科学与技术

办公电话：

电子邮件： houqb (at) nankai.edu.cn

研究方向： 计算机视觉、图像处理、人工智能

个人简介：

侯淇彬，博士生导师，南开大学“百青计划”获得者。2019年6月于南开大学获得博士学位，2019年8月至2021年8月在新加坡国立大学从事博士后研究工作，目前已在IEEE TPAMI, CVPR, ICCV, NeurIPS, IEEE TIP等国际顶级计算机视觉相关杂志与会议发表论文40余篇，详情请参见（https://scholar.google.com/citations?user=fF8OFV8AAAAJ&hl=en）。承担国家自然科学基金委面上项目、入选第七届中国科协青年人才托举计划，曾获教育部自然科学奖一等奖、吴文俊人工智能科学技术奖自然科学二等奖。


本课题组的研究涉及计算机视觉、深度学习和多媒体的交叉领域。具体研究方向包括但不限于：


  • 视觉基础模型
  • 物体检测、分割
  • AIGC


本课题组项目经费充足，欢迎有相关科研经历（如在CVPR、ICCV、ECCV、NeurIPS等顶级会议发表过论文）且成绩优异的同学来本课题组学习与科研。打算读研或直博的同学，可发送邮件附上简历到cmm at nankai.edu.cn并抄送给houqb at nankai.edu.cn。注：发送简历前，请务必认真阅读本课题组研究生招生说明（https://mmcheng.net/recruit/）。招生名额可查看https://mmcheng.net/。


代表性期刊论文：

  • Zhaohui Zheng, Rongguang Ye, Qibin Hou*, Dongwei Ren, Ping Wang, Wangmeng Zuo, and Ming-Ming Cheng. “Localization distillation for object detection.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).
  • Qibin Hou*, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, and Jiashi Feng. “Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition.” IEEE Transactions on Pattern Analysis & Machine Intelligence 45, no. 01 (2023): 1328-1334.
  • Li Yuan#, Qibin Hou#, Zihang Jiang#, Jiashi Feng, and Shuicheng Yan*. “VOLO: Vision Outlooker for Visual Recognition.” IEEE Transactions on Pattern Analysis & Machine Intelligence 45, no. 05 (2023): 6575-6586.
  • Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, and Jiashi Feng. “Token Selection is a Simple Booster for Vision Transformers.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
  • Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, and Ming-Ming Cheng. “Poolnet+: Exploring the potential of pooling for salient object detection.” IEEE Transactions on Pattern Analysis and Machine Intelligence 45, no. 1 (2022): 887-904.
  • Peng-Tao Jiang, Ling-Hao Han, Qibin Hou, Ming-Ming Cheng, and Yunchao Wei. “Online attention accumulation for weakly supervised semantic segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 10 (2021): 7062-7077.
  • Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, and Philip HS Torr. “Deeply Supervised Salient Object Detection with Short Connections.” IEEE Transactions on Pattern Analysis and Machine Intelligence 41, no. 4 (2019): 815-828.


代表性会议论文：

  • Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, and Qibin Hou*. “SRFormer: Permuted Self-Attention for Single Image Super-Resolution.” In ICCV, 2023.
  • Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, and Xiang Li. “Large Selective Kernel Network for Remote Sensing Object Detection.” In ICCV, 2023.
  • Zhen Li, Zuo-Liang Zhu, Ling-Hao Han, Qibin Hou, Chun-Le Guo, and Ming-Ming Cheng. “AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation.” In CVPR, pp. 9801-9810. 2023.
  • Peng-Tao Jiang, Yuqi Yang, Qibin Hou*, and Yunchao Wei. “L2g: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation.” In CVPR, pp. 16886-16896. 2022.
  • Zhaohui Zheng#, Rongguang Ye#, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou*, and Ming-Ming Cheng. “Localization distillation for dense object detection.” In CVPR, pp. 9407-9416. 2022.
  • Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, and Shi-Min Hu. “Segnext: Rethinking convolutional attention design for semantic segmentation.” NeurIPS 35 (2022): 1140-1156.
  • Zi-Hang Jiang, Qibin Hou*, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, and Jiashi Feng. “All tokens matter: Token labeling for training better vision transformers.” NeurIPS 34 (2021): 18590-18602.
  • Hou, Qibin, Daquan Zhou, and Jiashi Feng. “Coordinate attention for efficient mobile network design.” In CVPR. 2021.
  • Hou, Qibin, Li Zhang, Ming-Ming Cheng, and Jiashi Feng. “Strip pooling: Rethinking spatial pooling for scene parsing.” In CVPR, pp. 4003-4012. 2020.