Cewu Lu

15.5k total citations · 6 hit papers
134 papers, 6.7k citations indexed

About

Cewu Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Cewu Lu has authored 134 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 28 papers in Control and Systems Engineering. Recurrent topics in Cewu Lu's work include Human Pose and Action Recognition (41 papers), Robot Manipulation and Learning (24 papers) and Advanced Neural Network Applications (24 papers). Cewu Lu is often cited by papers focused on Human Pose and Action Recognition (41 papers), Robot Manipulation and Learning (24 papers) and Advanced Neural Network Applications (24 papers). Cewu Lu collaborates with scholars based in China, Hong Kong and United States. Cewu Lu's co-authors include Jiaya Jia, Yi Xu, Hao-Shu Fang, Li Xu, Xu Li, Minghao Gou, Di Lin, Chenxi Wang, Chi–Keung Tang and Yong–Lu Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Cewu Lu

122 papers receiving 6.5k citations

Hit Papers

A scalable active framework for region annotation in 3D s... 2011 2026 2016 2021 2016 2011 2011 2020 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A scalable active framework for region annotation in 3D shape collections
    2016 724 citations Li Yi, Vladimir G. Kim et al. ACM Transactions on Graphics profile →
  2. Image smoothing viaL0gradient minimization
    2011 643 citations Li Xu, Cewu Lu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  3. Image smoothing viaL0gradient minimization
    2011 632 citations Cewu Lu, Jiaya Jia et al. ACM Transactions on Graphics profile →
  4. GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
    2020 353 citations Hao-Shu Fang, Chenxi Wang et al. profile →
  5. AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
    2022 311 citations Hao-Shu Fang, Jiefeng Li et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  6. HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
    2021 226 citations Jiefeng Li, Siyuan Bian et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cewu Lu China 39 4.7k 1.2k 1.1k 925 829 134 6.7k
Kui Jia China 41 5.8k 1.2× 740 0.6× 1.8k 1.5× 306 0.3× 1.6k 1.9× 119 7.2k
Xiaowei Zhou China 35 5.3k 1.1× 1.5k 1.2× 1.1k 1.0× 1.3k 1.4× 238 0.3× 141 7.3k
Mathieu Salzmann Switzerland 41 4.3k 0.9× 599 0.5× 2.0k 1.7× 565 0.6× 542 0.7× 169 5.8k
Kostas Daniilidis United States 50 6.6k 1.4× 807 0.7× 819 0.7× 1.1k 1.2× 534 0.6× 216 9.3k
Ruigang Yang United States 53 8.7k 1.8× 900 0.7× 684 0.6× 425 0.5× 1.7k 2.0× 225 10.8k
Federico Tombari Germany 41 4.4k 0.9× 969 0.8× 593 0.5× 870 0.9× 326 0.4× 193 6.4k
Eli Shechtman United States 47 12.3k 2.6× 1.0k 0.8× 2.0k 1.8× 346 0.4× 1.2k 1.5× 120 13.4k
Francesc Moreno-Noguer Spain 34 5.4k 1.2× 904 0.7× 456 0.4× 894 1.0× 241 0.3× 147 6.8k
Radu Horaud France 39 3.7k 0.8× 619 0.5× 570 0.5× 583 0.6× 481 0.6× 142 5.5k
Haoqiang Fan China 21 2.9k 0.6× 1.0k 0.9× 284 0.3× 535 0.6× 472 0.6× 39 3.9k

Countries citing papers authored by Cewu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cewu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cewu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Cewu Lu. A scholar is included among the top collaborators of Cewu Lu 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 Cewu Lu. Cewu Lu 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.
2.
3.
Bian, Siyuan, et al.. (2024). ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 828–836.
4.
Liu, Siqi, et al.. (2024). Primitive-Based 3D Human-Object Interaction Modelling and Programming. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3711–3719.
5.
Fang, Hongjie, Hao-Shu Fang, Yiming Wang, et al.. (2024). AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild. 15031–15038. 16 indexed citations
6.
Fang, Haoshu, et al.. (2024). A Surprisingly Efficient Representation for Multi-Finger Grasping. 6462–6469. 1 indexed citations
7.
Li, Yong–Lu, Xiaoqian Wu, Yizhuo Li, et al.. (2022). HAKE: A Knowledge Engine Foundation for Human Activity Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8494–8506. 13 indexed citations
8.
Liu, Liu, et al.. (2022). Toward Real-World Category-Level Articulation Pose Estimation. IEEE Transactions on Image Processing. 31. 1072–1083. 25 indexed citations
9.
Yang, Lixin, et al.. (2022). OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20921–20930. 42 indexed citations
10.
Wang, Chenxi, Hao-Shu Fang, Minghao Gou, et al.. (2021). Graspness Discovery in Clutters for Fast and Accurate Grasp Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15944–15953. 67 indexed citations
11.
Sun, Jianhua, Qinhong Jiang, & Cewu Lu. (2020). Recursive Social Behavior Graph for Trajectory Prediction. 657–666. 146 indexed citations
12.
Fang, Hao-Shu, Guansong Lu, Xiaolin Fang, et al.. (2018). Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. 70–78. 83 indexed citations
13.
Li, Yong–Lu, Siyuan Zhou, Xijie Huang, et al.. (2018). Transferable Interactiveness Prior for Human-Object Interaction Detection.. arXiv (Cornell University). 16 indexed citations
14.
You, Yang, Qi Liu, Lizhuang Ma, et al.. (2018). PRIN: Pointwise Rotation-Invariant Network.. arXiv (Cornell University). 11 indexed citations
15.
Chen, Yiping, Jingkang Wang, Jonathan Li, et al.. (2018). LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. 5870–5878. 81 indexed citations
16.
Lin, Di, Cewu Lu, Hui Huang, & Jiaya Jia. (2017). RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition. IEEE Transactions on Image Processing. 26(9). 4154–4167. 46 indexed citations
17.
Lu, Cewu, Di Lin, Jiaya Jia, & Chi–Keung Tang. (2016). Two-Class Weather Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(12). 2510–2524. 48 indexed citations
18.
Yi, Li, Vladimir G. Kim, Duygu Ceylan, et al.. (2016). A scalable active framework for region annotation in 3D shape collections. ACM Transactions on Graphics. 35(6). 1–12. 724 indexed citations breakdown →
19.
Lu, Cewu, Shu Liu, Jiaya Jia, & Chi–Keung Tang. (2015). Contour Box: Rejecting Object Proposals without Explicit Closed Contours. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2021–2029. 14 indexed citations
20.
Lu, Cewu, Li Xu, & Jiaya Jia. (2012). Combining sketch and tone for pencil drawing production. 65–73. 82 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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