Christopher Xie
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 1
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- Robot Manipulation and Learning 2
- Co-authors
- Dieter Fox (4 shared papers)Xiang Yu (3 shared papers)Arsalan Mousavian (3 shared papers)Jur van den Berg (1 shared paper)Sachin Patil (1 shared paper)Pieter Abbeel (1 shared paper)Zaïd Harchaoui (1 shared paper)Keunhong Park (1 shared paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Christopher Xie
7 papers receiving 179 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 147
- Computer Graphics and Computer-Aided Design 15
- Control and Systems Engineering 60
- Aerospace Engineering 47
- Artificial Intelligence 48
Countries citing papers authored by Christopher Xie
This map shows the geographic impact of Christopher Xie'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 Christopher Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Xie more than expected).
Fields of papers citing papers by Christopher Xie
This network shows the impact of papers produced by Christopher Xie. 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 Christopher Xie. The network helps show where Christopher Xie may publish in the future.
Co-authors
The 11 scholars most cited alongside Christopher Xie, 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 | 2021 | 81 | |
| 2 | 2015 | 32 | |
| 3 | 2019 | 26 | |
| 4 | 2021 | 26 | |
| 5 | The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. | 2019 | 10 |
| 6 | 2018 | 10 | |
| 7 | Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation | 2020 | 2 |
About Christopher Xie
Christopher Xie is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Computational Mechanics, having authored 7 papers that have together received 187 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Advanced Neural Network Applications (3 papers), Robot Manipulation and Learning (2 papers), Data Stream Mining Techniques (1 paper), Computational Geometry and Mesh Generation (1 paper), Video Surveillance and Tracking Methods (1 paper), 3D Shape Modeling and Analysis (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Computer Graphics and Computer-Aided Design (15 citations), Control and Systems Engineering (60 citations), Aerospace Engineering (47 citations) and Artificial Intelligence (48 citations). Christopher Xie has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dieter Fox, Xiang Yu, Arsalan Mousavian, Jur van den Berg, Sachin Patil, Pieter Abbeel, Zaïd Harchaoui, Keunhong Park, Ricardo Martin-Brualla and Juan Lavista Ferres. Their work appears in journals such as IEEE Signal Processing Letters and IEEE Transactions on Robotics.
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.