Kunming Luo

488 total citations
21 papers, 267 citations indexed

About

Kunming Luo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Kunming Luo has authored 21 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Kunming Luo's work include Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Kunming Luo is often cited by papers focused on Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Kunming Luo collaborates with scholars based in China, Hong Kong and United States. Kunming Luo's co-authors include Shuaicheng Liu, Chuan Wang, Jue Wang, Jian Sun, Haoqiang Fan, Fanman Meng, Bing Zeng, Nianjin Ye, Qingbo Wu and Hongliang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Kunming Luo

17 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunming Luo China 10 220 43 35 31 24 21 267
Ruifei He Hong Kong 3 183 0.8× 32 0.7× 70 2.0× 17 0.5× 16 0.7× 6 230
Mengyang Pu China 7 198 0.9× 51 1.2× 71 2.0× 24 0.8× 11 0.5× 13 287
Nathan Drenkow United States 5 170 0.8× 41 1.0× 33 0.9× 45 1.5× 8 0.3× 13 232
Weihong Ren China 10 288 1.3× 74 1.7× 30 0.9× 13 0.4× 7 0.3× 38 331
Chi Li China 6 129 0.6× 24 0.6× 46 1.3× 58 1.9× 15 0.6× 10 182
Guo-Ye Yang China 6 243 1.1× 52 1.2× 28 0.8× 16 0.5× 5 0.2× 7 279
Ajoy Mondal India 11 203 0.9× 48 1.1× 56 1.6× 19 0.6× 15 0.6× 26 258
William B. Thompson United States 6 260 1.2× 47 1.1× 18 0.5× 46 1.5× 21 0.9× 8 355
Yingxue Pang China 3 152 0.7× 44 1.0× 39 1.1× 6 0.2× 32 1.3× 8 243

Countries citing papers authored by Kunming Luo

Since Specialization
Citations

This map shows the geographic impact of Kunming Luo'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 Kunming Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunming Luo more than expected).

Fields of papers citing papers by Kunming Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunming Luo. 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 Kunming Luo. The network helps show where Kunming Luo may publish in the future.

Co-authorship network of co-authors of Kunming Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Kunming Luo. A scholar is included among the top collaborators of Kunming Luo 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 Kunming Luo. Kunming Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Zijun, et al.. (2025). SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9094–9102.
2.
Fang, Chuan, et al.. (2025). Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 692–701. 2 indexed citations
3.
Luo, Kunming, Shuaicheng Liu, Zun Li, et al.. (2024). GLOCAL: A self-supervised learning framework for global and local motion estimation. Pattern Recognition Letters. 178. 91–97. 2 indexed citations
4.
Liu, Xiangyue, Xue Han, Kunming Luo, Ping Tan, & Yi Li. (2024). GenN2N: Generative NeRF2NeRF Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5105–5114. 2 indexed citations
5.
Luo, Kunming, et al.. (2024). GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning. International Journal of Computer Vision. 132(6). 2331–2349. 5 indexed citations
6.
Guo, Hui, Kunming Luo, Liming Zheng, & Chao Zeng. (2024). The Application of Virtual Reality Technology and Real-Time Rendering Algorithms in Film Production. Computer-Aided Design and Applications. 238–251. 1 indexed citations
7.
Zhang, Cong, Kunming Luo, Fanman Meng, & Qingbo Wu. (2023). The Elliptic Energy Loss for Rotated Object Detection in Aerial Images. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3384–3388.
8.
Luo, Kunming, et al.. (2023). Learning Optical Flow from Event Camera with Rendered Dataset. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9813–9823. 9 indexed citations
9.
Liu, Xiaohong, Kunming Luo, Shuaicheng Liu, et al.. (2023). AccFlow: Backward Accumulation for Long-Range Optical Flow. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12085–12094. 6 indexed citations
10.
Song, Yuanfeng, et al.. (2022). A Novel Data Cleaning Framework Based on Knowledge Graph. 350–355.
11.
Yang, Fan, et al.. (2022). Learning Optical Flow with Adaptive Graph Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1890–1898. 35 indexed citations
12.
Liu, Shuaicheng, Kunming Luo, Nianjin Ye, et al.. (2021). OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning. IEEE Transactions on Image Processing. 30. 6420–6433. 28 indexed citations
13.
Luo, Kunming, Chuan Wang, Shuaicheng Liu, et al.. (2021). UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning. 1045–1054. 57 indexed citations
14.
Luo, Kunming, et al.. (2021). GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12849–12858. 15 indexed citations
15.
Liu, Shuaicheng, Kunming Luo, Ao Luo, et al.. (2021). ASFlow: Unsupervised Optical Flow Learning With Adaptive Pyramid Sampling. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4282–4295. 15 indexed citations
16.
Wang, Chuan, et al.. (2021). Semi-Supervised Pixel-Level Scene Text Segmentation by Mutually Guided Network. IEEE Transactions on Image Processing. 30. 8212–8221. 14 indexed citations
17.
Luo, Kunming, et al.. (2021). Research on the Application of Environmental Art Design Based on Digital Media Technology. Journal of Physics Conference Series. 1915(2). 22072–22072. 10 indexed citations
18.
Meng, Fanman, et al.. (2019). Weakly Supervised Semantic Segmentation by a Class-Level Multiple Group Cosegmentation and Foreground Fusion Strategy. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4823–4836. 38 indexed citations
19.
Luo, Kunming, Fanman Meng, Qingbo Wu, & Hongliang Li. (2018). Weakly Supervised Semantic Segmentation by Multiple Group Cosegmentation. 0. 1–4.
20.
Gao, Yanli, et al.. (2018). Overview on Image Reconstruction Algorithms for Electrical Capacitance Tomography. 3405–3411. 3 indexed citations

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.

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