Shikun Li

Orcid: 0000-0003-4297-9571

According to our database1, Shikun Li authored at least 21 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Research on Reconfiguration Strategies for Self-reconfiguring Modular Robots: A Review.
J. Intell. Robotic Syst., June, 2024

Three-dimensional truss path planning of cellular robots based on improved sparrow algorithm.
Robotica, February, 2024

Multimodal Composition Example Mining for Composed Query Image Retrieval.
IEEE Trans. Image Process., 2024

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Trustable Co-Label Learning From Multiple Noisy Annotators.
IEEE Trans. Multim., 2023

Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm.
CoRR, 2023

Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds.
CoRR, 2023

Multi-View Stereo Network With Gaussian Distribution Iteration.
IEEE Access, 2023

Federated Learning with Label-Masking Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Model Conversion via Differentially Private Data-Free Distillation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Student Network Learning via Evolutionary Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol., 2022

VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration.
Remote. Sens., 2022

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selective-Supervised Contrastive Learning with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cascaded Correlation Refinement for Robust Deep Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2021

Super Edge 4-Points Congruent Sets-Based Point Cloud Global Registration.
Remote. Sens., 2021

2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Low-Resolution Face Recognition in the Wild with Mixed-Domain Distillation.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019


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