Xiangtao Kong

Orcid: 0000-0003-2963-806X

According to our database1, Xiangtao Kong authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Toward Generalizing Visual Brain Decoding to Unseen Subjects.
CoRR, 2024

Training on the Benchmark Is Not All You Need.
CoRR, 2024

A Preliminary Exploration Towards General Image Restoration.
CoRR, 2024

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy.
CoRR, 2024

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
HAT: Hybrid Attention Transformer for Image Restoration.
CoRR, 2023

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retiformer: Retinex-Based Enhancement In Transformer For Low-Light Image.
Proceedings of the IEEE International Conference on Acoustics, 2023

DegAE: A New Pretraining Paradigm for Low-Level Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Reflash Dropout in Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep learning based emotion analysis of microblog texts.
Inf. Fusion, 2020

Efficient Image Super-Resolution Using Pixel Attention.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020



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