2026 Qibin Hou: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	41	599	599	210	210	83	15128
Computer Science	42	8138	7910	1073	1067	83	20414

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Qibin Hou is affiliated with Nankai University in China and has a significant research presence in computer science, particularly in the areas of computer vision and pattern recognition. Their work spans multiple subfields, including artificial intelligence, radiology, nuclear medicine and imaging, media technology, and aerospace engineering.

The scientist's main fields of study and research topics include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Radiology, Nuclear Medicine and Imaging
Media Technology
Aerospace Engineering

The primary research topics they have contributed to are:

Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Visual Attention and Saliency Detection
Advanced Image Processing Techniques
COVID-19 diagnosis using AI

Qibin Hou has been a frequent contributor to a variety of publication venues, including:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
International Journal of Computer Vision
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some notable recent papers featuring their research include:

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization, 2021, IEEE Transactions on Image Processing
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation, 2022, arXiv (Cornell University)
DeepViT: Towards Deeper Vision Transformer, 2021, arXiv (Cornell University)
Coordinate Attention for Efficient Mobile Network Design, 2021, arXiv (Cornell University)
VOLO: Vision Outlooker for Visual Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist has collaborated extensively with several researchers, among whom the most frequent coauthors are:

Ming-Ming Cheng
Jiashi Feng
Daquan Zhou
Peng-Tao Jiang
Xuying Zhang

Best Publications

Coordinate Attention for Efficient Mobile Network Design

Qibin Hou;Daquan Zhou;Jiashi Feng

5475
Citations
Deeply Supervised Salient Object Detection with Short Connections

Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

1455
Citations
Deeply Supervised Salient Object Detection with Short Connections

Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

1299
Citations
Salient Object Detection: A Survey

Ali Borji;Ming Ming Cheng;Qibin Hou;Huaizu Jiang

1203
Citations
A Simple Pooling-Based Design for Real-Time Salient Object Detection

Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Jiashi Feng

1070
Citations
Rotate to Attend: Convolutional Triplet Attention Module

Diganta Misra;Trikay Nalamada;Ajay Uppili Arasanipalai;Qibin Hou

989
Citations
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

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

720
Citations
LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

Peng-Tao Jiang;Chang-Bin Zhang;Qibin Hou;Ming-Ming Cheng

703
Citations
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

Deng-Ping Fan;Zheng Lin;Zhao Zhang;Menglong Zhu

650
Citations
Large Selective Kernel Network for Remote Sensing Object Detection

Unknown

615
Citations
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

Unknown

483
Citations
VOLO: Vision Outlooker for Visual Recognition

Unknown

451
Citations
Improving Convolutional Networks With Self-Calibrated Convolutions

Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Changhu Wang

444
Citations
Delving Deep Into Label Smoothing

Chang-Bin Zhang;Peng-Tao Jiang;Qibin Hou;Yunchao Wei

414
Citations
DeepViT: Towards Deeper Vision Transformer

Daquan Zhou;Bingyi Kang;Xiaojie Jin;Linjie Yang

359
Citations
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

Deng-Ping Fan;Ming-Ming Cheng;Jiang-Jiang Liu;Shang-Hua Gao

351
Citations
Integral Object Mining via Online Attention Accumulation

Peng-Tao Jiang;Qibin Hou;Yang Cao;Ming-Ming Cheng

262
Citations
Rethinking Bottleneck Structure for Efficient Mobile Network Design

Daquan Zhou;Qibin Hou;Yunpeng Chen;Jiashi Feng

237
Citations
Localization Distillation for Dense Object Detection

Unknown

220
Citations
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

Unknown

215
Citations
Self-Erasing Network for Integral Object Attention

Qibin Hou;PengTao Jiang;Yunchao Wei;Ming-Ming Cheng

121
Citations
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton

Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng

118
Citations
All Tokens Matter: Token Labeling for Training Better Vision Transformers

Zi-Hang Jiang;Qibin Hou;Li Yuan;Daquan Zhou

100
Citations
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation

Ruochen Fan;Qibin Hou;Ming-Ming Cheng;Gang Yu

100
Citations
Rethinking Bottleneck Structure for Efficient Mobile Network Design

Zhou Daquan;Qibin Hou;Yunpeng Chen;Jiashi Feng

10
Citations

Frequent Co-Authors

Ming-Ming Cheng Nankai University

Jiashi Feng ByteDance

Yunchao Wei Beijing Jiaotong University

Ali Borji Quintic AI

Philip H. S. Torr University of Oxford

Shuicheng Yan National University of Singapore

Shi-Min Hu Tsinghua University

Paul L. Rosin Cardiff University

Zhuowen Tu University of California, San Diego

Jingdong Wang Baidu (China)

External Links

Personal website of Qibin Hou

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