Sihang Li

Orcid: 0000-0003-3053-5770

Affiliations:
  • Tongji University, Shanghai, China


According to our database1, Sihang Li authored at least 19 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CRAG: Can 3D Generative Models Help 3D Assembly?
CoRR, February, 2026

2025
Adversarial Exploitation of Data Diversity Improves Visual Localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GARF: Learning Generalizable 3D Reassembly for Real-World Fractures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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 37: 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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