Xiaodi Hou
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- Visual Attention and Saliency Detection 4
- Multimodal Machine Learning Applications 4
- Advanced Neural Network Applications 3
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
- Sensory Systems top 0.2%
- Olfactory and Sensory Function Studies 2
- Media Technology top 0.2%
- Human-Computer Interaction top 0.5%
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms 3
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Liqing ZhangChristof KochJonathan HarelZehua HuangDing LiuYe YuanGarrison W. CottrellPengfei Chen
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Pattern Recognition (1 paper)SMARTech Repository (Georgia Institute of Technology) (1 paper)
- Partner nations
- ChinaUnited StatesMyanmar
In The Last Decade
Xiaodi Hou
11 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 5.3k
- Sensory Systems 1.0k
- Media Technology 891
- Human-Computer Interaction 487
- Cognitive Neuroscience 802
Countries citing papers authored by Xiaodi Hou
This map shows the geographic impact of Xiaodi Hou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaodi Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Hou more than expected).
Fields of papers citing papers by Xiaodi Hou
This network shows the impact of papers produced by Xiaodi Hou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaodi Hou. The network helps show where Xiaodi Hou may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Xiaodi Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Understanding Convolution for Semantic Segmentationbreakdown → | 2018 | 1366 |
| 2 | Adaptive Batch Normalization for practical domain adaptationbreakdown → | 2018 | 361 |
| 3 | 2017 | 300 | |
| 4 | 2017 | 66 | |
| 5 | Revisiting Batch Normalization For Practical Domain Adaptation | 2016 | 23 |
| 6 | The Secrets of Salient Object Segmentationbreakdown → | 2014 | 922 |
| 7 | 2013 | 26 | |
| 8 | Image Signature: Highlighting Sparse Salient Regionsbreakdown → | 2011 | 604 |
| 9 | Dynamic visual attention: searching for coding length increments | 2008 | 306 |
| 10 | 2007 | 15 | |
| 11 | Saliency Detection: A Spectral Residual Approachbreakdown → | 2007 | 2387 |
About Xiaodi Hou
Xiaodi Hou is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems, Cognitive Neuroscience, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 6.4k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Visual perception and processing mechanisms (3 papers), Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.3k citations), Sensory Systems (1.0k citations), Media Technology (891 citations), Human-Computer Interaction (487 citations) and Cognitive Neuroscience (802 citations). Xiaodi Hou has collaborated with scholars based in China, United States and Myanmar. Frequent co-authors include Liqing Zhang, Christof Koch, Jonathan Harel, Zehua Huang, Ding Liu, Ye Yuan, Garrison W. Cottrell, Pengfei Chen, Panqu Wang and Alan Yuille. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, SMARTech Repository (Georgia Institute of Technology), International Conference on Learning Representations and CaltechAUTHORS (California Institute of Technology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.