Zejia Fan

Orcid: 0000-0002-6205-3808

According to our database1, Zejia Fan authored at least 13 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Toward Real-World Super Resolution With Adaptive Self-Similarity Mining.
IEEE Trans. Image Process., 2024

S⁵Mars: Semi-Supervised Learning for Mars Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Semi-supervised Learning for Mars Imagery Classification and Segmentation.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Peking University.
IEEE Trans. Parallel Distributed Syst., 2022

S<sup>5</sup>Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation.
CoRR, 2022

On the Connection between Local Attention and Dynamic Depth-wise Convolution.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Learned Video Super-Resolution with Augmented Spatial and Temporal Context.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Peking University.
IEEE Trans. Parallel Distributed Syst., 2021

Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight.
CoRR, 2021

Semi-Supervised Learning for Mars Imagery Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Conditional DETR for Fast Training Convergence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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