Qibin Hou received his Ph.D. degree from Nankai University under the supervision of Prof. Ming-Ming Cheng in 06/2019. After that, he is a research fellow at National University of Singapore working with Prof. Jiashi Feng.

Research Interests

Semantic Segmentation Instance Segmentation Object Detection Architecture Design Neural Architecture Search.

News

  • Two paper accepted by CVPR2020
  • One paper accepted by ICLR2020
  • One paper accepted by ICCV2019
  • Two papers accepted by CVPR2019

Activities

Selected Publications (Google Scholar)

“*” means authors contributed equally

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]

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]

Improving Convolutional Networks with Self-Calibrated Convolutions

Jiang-Jiang Liu*, Qibin Hou*, Ming-Ming Cheng, Changhu Wang, Jiashi Feng

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

[Arxiv]

Neural Epitome Search for Architecture-Agnostic Network Compression

Daquan Hou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

The International Conference on Learning Representations (ICLR), 2020

[Arxiv]

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]