Ruixuan Cong

Orcid: 0000-0001-6410-5248

According to our database1, Ruixuan Cong authored at least 13 papers between 2022 and 2024.

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

Timeline

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Links

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Bibliography

2024
An Occlusion and Noise-Aware Stereo Framework Based on Light Field Imaging for Robust Disparity Estimation.
IEEE Trans. Computers, March, 2024

Blockchain-Based Distributed Multiagent Reinforcement Learning for Collaborative Multiobject Tracking Framework.
IEEE Trans. Computers, March, 2024

Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution.
IEEE Trans. Multim., 2024

2023
Cross-View Recurrence-Based Self-Supervised Super-Resolution of Light Field.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

MFSRNet: spatial-angular correlation retaining for light field super-resolution.
Appl. Intell., September, 2023

Disentangling Local and Global Information for Light Field Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


EPI-Guided Cost Construction Network for Light Field Disparity Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-view Semantic Information Guidance for Light Field Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes.
IEEE Trans. Circuits Syst. Video Technol., 2022


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