Yiming Li
Orcid: 0000-0002-0157-6218Affiliations:
- New York University, Mechanical and Aerospace Engineering, NY, USA
- Tongji University, School of Mechanical Engineering, China
According to our database1,
Yiming Li
authored at least 44 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Spatial Reliability Enhanced Correlation Filter: An Efficient Approach for Real-Time UAV Tracking.
IEEE Trans. Multim., 2024
IEEE Robotics Autom. Lett., 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
IEEE Robotics Autom. Lett., 2023
IEEE Robotics Autom. Lett., 2023
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR, 2023
Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving.
IEEE Robotics Autom. Lett., 2022
Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods.
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature.
IEEE Trans. Multim., 2021
Learning dynamic regression with automatic distractor repression for real-time UAV tracking.
Eng. Appl. Artif. Intell., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression.
CoRR, 2020
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
DR<sup>2</sup>Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Remote. Sens., 2019
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019