Sihang Li

Orcid: 0000-0003-3053-5770

Affiliations:
  • Tongji University, Shanghai, China


According to our database1, Sihang Li authored at least 17 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures.
CoRR, April, 2025

2024
Unleashing the Power of Data Synthesis in Visual Localization.
CoRR, 2024

Multiview Scene Graph.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Scale-Aware Domain Adaptation for Robust UAV Tracking.
IEEE Robotics Autom. Lett., June, 2023

Permutation flow shop energy-efficient scheduling with a position-based learning effect.
Int. J. Prod. Res., January, 2023

Adversarial Blur-Deblur Network for Robust UAV Tracking.
IEEE Robotics Autom. Lett., 2023

Boosting UAV Tracking With Voxel-Based Trajectory-Aware Pre-Training.
IEEE Robotics Autom. Lett., 2023

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR, 2023

SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
DeconNet: End-to-End Decontaminated Network for Vision-Based Aerial Tracking.
IEEE Trans. Geosci. Remote. Sens., 2022

Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking.
CoRR, 2022

End-to-End Feature Decontaminated Network for UAV Tracking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Local Perception-Aware Transformer for Aerial Tracking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Ad<sup>2</sup>Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022


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