Zhanzhan Cheng

Orcid: 0000-0002-5732-1513

According to our database1, Zhanzhan Cheng authored at least 48 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Self-Supervision for Few-Shot Class-Incremental Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network.
CoRR, 2022

TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents.
CoRR, 2022

PMAL: Open Set Recognition via Robust Prototype Mining.
CoRR, 2022

Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners.
CoRR, 2022

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

End-to-End Compound Table Understanding with Multi-Modal Modeling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Active Model Adaptation Under Unknown Shift.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Distilling Object Detectors with Global Knowledge.
Proceedings of the Computer Vision - ECCV 2022, 2022

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PMAL: Open Set Recognition via Robust Prototype Mining.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
FREE: A Fast and Robust End-to-End Video Text Spotter.
IEEE Trans. Image Process., 2021

STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Robust Model Reuse in the Presence of Latent Domains.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

ICDAR 2021 Competition on Scene Video Text Spotting.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection.
CoRR, 2020

Object-QA: Towards High Reliable Object Quality Assessment.
CoRR, 2020

Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units.
CoRR, 2020

TRIE: End-to-End Text Reading and Information Extraction for Document Understanding.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Recognizing Multiple Text Sequences from an Image by Pure End-to-End Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Text Recognition in Real Scenarios with a Few Labeled Samples.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Pure End-to-End Learning for Recognizing Multiple Text Sequences from an Image.
CoRR, 2019

Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition.
CoRR, 2019

REAPS: Towards Better Recognition of Fine-Grained Images by Region Attending and Part Sequencing.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

You Only Recognize Once: Towards Fast Video Text Spotting.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

AON: Towards Arbitrarily-Oriented Text Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Edit Probability for Scene Text Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Arbitrarily-Oriented Text Recognition.
CoRR, 2017

Selecting high-quality negative samples for effectively predicting protein-RNA interactions.
BMC Syst. Biol., 2017

Focusing Attention: Towards Accurate Text Recognition in Natural Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Computationally predicting protein-RNA interactions using only positive and unlabeled examples.
J. Bioinform. Comput. Biol., 2015

Exploiting topic modeling to boost metagenomic reads binning.
BMC Bioinform., 2015


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