Deyao Zhu
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Automotive Engineering
- Media Technology
- Signal Processing
- Co-authors
- Jun ChenMohamed ElhoseinyLi Erran LiChenchen ZhuZhicheng YanGuocheng QianBernard GhanemFanyi Xiao
- Topics
- Domain Adaptation and Few-Shot Learning (2 papers)Multimodal Machine Learning Applications (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceGeography, Planning and Development
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)International Conference on Learning Representations
- Partner nations
- Saudi ArabiaGermanyCanada
In The Last Decade
Deyao Zhu
3 papers receiving 25 citations
Peers
Comparison fields: 5 of 14
- Computer Vision and Pattern Recognition 18
- Artificial Intelligence 13
- Automotive Engineering 3
- Media Technology 3
- Signal Processing 2
Countries citing papers authored by Deyao Zhu
This map shows the geographic impact of Deyao Zhu'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 Deyao Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyao Zhu more than expected).
Fields of papers citing papers by Deyao Zhu
This network shows the impact of papers produced by Deyao Zhu. 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 Deyao Zhu. The network helps show where Deyao Zhu may publish in the future.
Co-authorship network of co-authors of Deyao Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Deyao Zhu. A scholar is included among the top collaborators of Deyao Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deyao Zhu. Deyao Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents | 3 |
About Deyao Zhu
Deyao Zhu is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 3 papers that have together received 26 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (18 citations), Artificial Intelligence (13 citations) and Geography, Planning and Development (2 citations). Deyao Zhu has collaborated with scholars based in Saudi Arabia, Germany and Canada. Frequent co-authors include Jun Chen, Mohamed Elhoseiny, Li Erran Li, Chenchen Zhu, Zhicheng Yan, Guocheng Qian, Bernard Ghanem, Fanyi Xiao and Mohamed Zahran. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Learning Representations.
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.