Chongyu Liu

Orcid: 0000-0003-2516-926X

According to our database1, Chongyu Liu authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Datasets for Large Language Models: A Comprehensive Survey.
CoRR, 2024

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting.
CoRR, 2024

ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UPOCR: Towards Unified Pixel-Level OCR Interface.
CoRR, 2023

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation.
CoRR, 2023

M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DTDT: Highly Accurate Dense Text Line Detection in Historical Documents via Dynamic Transformer.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

HisDoc R-CNN: Robust Chinese Historical Document Text Line Detection with Dynamic Rotational Proposal Network and Iterative Attention Head.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Revisiting Scene Text Recognition: A Data Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context.
Proceedings of the Computer Vision - ECCV 2022, 2022

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.
IEEE Trans. Image Process., 2020

EraseNet: End-to-End Text Removal in the Wild.
IEEE Trans. Image Process., 2020

2017
Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017


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