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Computer Science

D-Index
53
Citations
17981
World Ranking
4704
National Ranking
630

Overview

Cewu Lu is affiliated with Shanghai Jiao Tong University in China and contributes extensively to the fields of Computer Science and Engineering. Their research primarily focuses on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction, and Computational Mechanics.

Lu's work covers a range of main topics such as Human Pose and Action Recognition, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Hand Gesture Recognition Systems, 3D Shape Modeling and Analysis, Advanced Neural Network Applications, and Anomaly Detection Techniques and Applications.

Frequent coauthors collaborating with Lu include Yong-Lu Li, Wenqiang Xu, Hao-Shu Fang, Jiefeng Li, and Yang You. This network reflects a strong collaborative research environment contributing to various projects and publications.

Lu has published a significant number of papers across notable venues. Some of the frequent venues for publication include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Examples of recent papers authored or coauthored by Lu include:

  • AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Attribute Restoration Framework for Anomaly Detection (2020), IEEE Transactions on Multimedia
  • TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline (2022), IEEE Robotics and Automation Letters
  • Graspness Discovery in Clutters for Fast and Accurate Grasp Detection (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models (2023), arXiv (Cornell University)

Best Publications

  • RMPE: Regional Multi-person Pose Estimation

    Hao-Shu Fang;Shuqin Xie;Yu-Wing Tai;Cewu Lu

  • Abnormal Event Detection at 150 FPS in MATLAB

    Cewu Lu;Jianping Shi;Jiaya Jia

  • Image smoothing via L0 gradient minimization

    Li Xu;Cewu Lu;Yi Xu;Jiaya Jia

  • A scalable active framework for region annotation in 3D shape collections

    Li Yi;Vladimir G. Kim;Duygu Ceylan;I-Chao Shen

  • Visual Relationship Detection with Language Priors

    Cewu Lu;Ranjay Krishna;Michael S. Bernstein;Li Fei-Fei

  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

    Chen Wang;Danfei Xu;Yuke Zhu;Roberto Martin-Martin

  • CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark

    Jiefeng Li;Can Wang;Hao Zhu;Yihuan Mao

  • GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

    Hao-Shu Fang;Chenxi Wang;Minghao Gou;Cewu Lu

  • PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

    Mingyang Jiang;Yiran Wu;Cewu Lu

  • Deep LAC: Deep localization, alignment and classification for fine-grained recognition

    Di Lin;Xiaoyong Shen;Cewu Lu;Jiaya Jia

  • Virtual to Real Reinforcement Learning for Autonomous Driving.

    Xinlei Pan;Yurong You;Ziyan Wang;Cewu Lu

  • HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation

    Jiefeng Li;Chao Xu;Zhicun Chen;Siyuan Bian

  • Two-Class Weather Classification

    Cewu Lu;Di Lin;Jiaya Jia;Chi-Keung Tang

  • Pose Flow: Efficient Online Pose Tracking

    Yuliang Xiu;Jiefeng Li;Haoyu Wang;Yinghong Fang

  • TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

    Bo Pang;Yizhuo Li;Yifan Zhang;Muchen Li

  • Transferable Interactiveness Knowledge for Human-Object Interaction Detection

    Yong-Lu Li;Siyuan Zhou;Xijie Huang;Liang Xu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

    Hao-Shu Fang;Jianhua Sun;Runzhong Wang;Minghao Gou

  • Recursive Social Behavior Graph for Trajectory Prediction

    Jianhua Sun;Qinhong Jiang;Cewu Lu

  • Attribute Restoration Framework for Anomaly Detection

    Ye Fei;Chaoqin Huang;Cao Jinkun;Maosen Li

  • Attribute Restoration Framework for Anomaly Detection

    Chaoqin Huang;Fei Ye;Jinkun Cao;Maosen Li

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Li Fei-Fei
Li Fei-Fei Stanford University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Li Xu
Li Xu SenseTime
Jianping Shi
Jianping Shi SenseTime
Silvio Savarese
Silvio Savarese Stanford University
Yuke Zhu
Yuke Zhu The University of Texas at Austin

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