Cewu Lu

15.5k citations

134 papers · 6.7k indexed · 6 hit papers · h-index 39

Computer Vision and Pattern Recognition top 0.1%
- Human Pose and Action Recognition 41
- Advanced Neural Network Applications 24
- Advanced Vision and Imaging 22
- Video Surveillance and Tracking Methods 16
- Multimodal Machine Learning Applications 16
Computer Graphics and Computer-Aided Design top 0.5%
Geology top 0.5%
Media Technology top 0.5%
Human-Computer Interaction top 0.5%
Control and Systems Engineering
- Robot Manipulation and Learning 24
Computational Mechanics
- 3D Shape Modeling and Analysis 17
Artificial Intelligence
- Anomaly Detection Techniques and Applications 16

Co-authors: Jiaya Jia Yi Xu Hao-Shu FangLi XuXu Li Minghao Gou Di Lin Chenxi Wang
Cited by: Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design Geology
Journals: IEEE Transactions on Image Processing (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)IEEE Robotics and Automation Letters (2 papers)
Partner nations: China Hong Kong United States

In The Last Decade

Cewu Lu

122 papers receiving 6.5k citations

Hit Papers

6 papers align trajectories log scale

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.

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
2020 GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
2016 ACM Transactions on Graphics
2011 Rare & Special e-Zone (The Hong Kong University of Science and Technology)
2011 ACM Transactions on Graphics

Peers

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

The 25 scholars most cited alongside Cewu Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cewu Lu Line = papers co-authored together Cewu Lu links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	SKT: Integrating State-Aware Keypoint Trajectories with Vision-Language Models for Robotic Garment Manipulation Xin Li,Siyuan Huang,Leen Braem,Zhengkai Jiang,Rajyalakshmi Nittala,Theodore Stewart-Hester,Hongsheng Li,Peng Gao,Cewu Lu	2025	0
2	FSGlove: An Inertial-Based Hand Tracking System with Shape-Aware Calibration Yutong Li,Yi-Da,Wenqiang Xu,Dana Paz,Cewu Lu	2025	0
3	GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction Zhang Li,Mingliang Xu,Jianan Wang,Ali Khademhosseini,Lixin Yang,Yong–Lu Li,Cewu Lu,Rujing Wang,S. H. Ewe	2025	0
4	ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation Proceedings of the AAAI Conference on Artificial Intelligence ·Siyuan Bian,Jiefeng Li,Dima Khavinson,Cewu Lu	2024	0
5	Primitive-Based 3D Human-Object Interaction Modelling and Programming Proceedings of the AAAI Conference on Artificial Intelligence ·Siqi Liu,Yong–Lu Li,Fang Zhou,Triantafyllou,Yang You,Cewu Lu	2024	0
6	AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild Hongjie Fang,Hao-Shu Fang,Yiming Wang,Jieji Ren,Jingjing Chen,Mary L. Murphy,Weiming Wang,Cewu Lu	2024	16
7	A Surprisingly Efficient Representation for Multi-Finger Grasping 阪本考司,Haoshu Fang,Cewu Lu	2024	1
8	MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints Tyler Bui,Wenqiang Xu,Dana Paz,B. Machenschalk,Cewu Lu	2024	4
9	Toward Real-World Category-Level Articulation Pose Estimation IEEE Transactions on Image Processing ·Liu Liu,M. Shved,Wenqiang Xu,布貴男吉崎,Cewu Lu	2022	25
10	OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Lixin Yang,Kwang Jun Tsche,由布子竹仲,Fei Wu,Anran Xu,Liu Liu,Cewu Lu	2022	42
11	HAKE: A Knowledge Engine Foundation for Human Activity Understanding IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yong–Lu Li,Triantafyllou,Xiaoqian Wu,Yizhuo Li,Petrin Sv,Liang Xu,Yue Xu,Hao-Shu Fang,Cewu Lu	2022	13
12	Recursive Social Behavior Graph for Trajectory Prediction Jianhua Sun,Qinhong Jiang,Cewu Lu	2020	146
13	PRIN: Pointwise Rotation-Invariant Network. arXiv (Cornell University) ·Yang You,Carmela Coviello,Qi Liu,Lizhuang Ma,Weiming Wang,Yu‐Wing Tai,Cewu Lu	2018	11
14	Transferable Interactiveness Prior for Human-Object Interaction Detection. arXiv (Cornell University) ·Yong–Lu Li,Siyuan Zhou,Xijie Huang,Liang Xu,Ze Ma,Hao-Shu Fang,Yanfeng Wang,Cewu Lu	2018	16
15	LiDAR-Video Driving Dataset: Learning Driving Policies Effectively Yiping Chen,Jingkang Wang,Jonathan Li,Cewu Lu,Zhipeng Luo,Han Xue,Cheng Wang	2018	81
16	RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition IEEE Transactions on Image Processing ·Di Lin,Cewu Lu,Hui Huang,Jiaya Jia	2017	46
17	Two-Class Weather Classification IEEE Transactions on Pattern Analysis and Machine Intelligence ·Cewu Lu,Di Lin,Jiaya Jia,Chi–Keung Tang	2016	48
18	A scalable active framework for region annotation in 3D shape collectionsbreakdown → ACM Transactions on Graphics ·Li Yi,Vladimir G. Kim,Duygu Ceylan,I‐Chao Shen,E. Stålberg,Hao Su,Cewu Lu,Qixing Huang,Alla Sheffer,Leonidas Guibas	2016	724
19	Two-Class Weather Classification Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Cewu Lu,Di Lin,Jiaya Jia,Chi–Keung Tang	2014	72
20	Combining sketch and tone for pencil drawing production Cewu Lu,Li Xu,Jiaya Jia	2012	82

About Cewu Lu

Cewu Lu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Geology and Control and Systems Engineering, having authored 134 papers that have together received 6.7k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (41 papers), Robot Manipulation and Learning (24 papers), Advanced Neural Network Applications (24 papers), Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (17 papers), Video Surveillance and Tracking Methods (16 papers), Multimodal Machine Learning Applications (16 papers) and Anomaly Detection Techniques and Applications (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Computer Graphics and Computer-Aided Design (485 citations), Geology (607 citations), Media Technology (829 citations) and Human-Computer Interaction (463 citations). Cewu Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters, The International Journal of Robotics Research and ACM Transactions on Graphics.

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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