- From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures, (WHU, UNT), 2024-06, ACM-Computing-Surveys.2024
- A Review On Table Recognition Based On Deep Learning, (HKUST, Pacific), 2023-12, Neurocomputing.2024
- A Study on Reproducibility and Replicability of Table Structure Recognition Methods, (ODU, PSU), 2023-04, ICDAR-2023
- Deep learning for table detection and structure recognition: A survey, (AUN, IITU, KazMunayGas, Satbayev, ITI, CBNU), 2022-11, ACM-Computing-Surveys.2024
- A survey on table recognition technology, (PKU, Huawei, SCUT), 2022-06, JIG.2022
- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX, (IIT Gandhinagar), 2021-09, ICDAR-2021
- ICDAR 2021 Competition on Scientific Literature Parsing, (IBM, UniMelb, Oracle), 2021-06, ICDAR-2021
- Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019
TabSniperTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements, (American Express), 2024-12, CODS-COMAD-2024RCAM-TransformerRCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism, (Foxit), 2024-09, DAS-2024DTSMDTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator, (SCUT), 2024-09, ICDAR-2024CRCRNetCRCRNet: An Integrated Approach to Table Data Extraction, (Jiangsu Frontier Electric Technology), 2024-08, CNCIT-2024SEMv3SEMv3: A Fast and Robust Approach to Table Separation Line Detection, (USTC, iFLYTEK), 2024-05, IJCAI-2024TSRDetRethinking Detection Based Table Structure Recognition for Visually Rich Document Images, (uOttawa, Lytica), 2023-12, arXivTableStrRecTableStrRec: framework for table structure recognition in data sheet images, (uOttawa, Gnowit, Lytica), 2023-09, IJDAR.2023DRCCDivide Rows and Conquer Cells: Towards Structure Recognition for Large Tables, (CAS, UCAS, Hikvision, CUC), 2023-08, IJCAI-2023FormergeFormerge: Recover spanning cells in complex table structure using transformer network, (VTCC, HCMUT), 2023-08, ICDAR-2023PyramidTabNetPyramidTabNet: Transformer based Table Recognition in Image-based Documents, (NUST, NCAI), 2023-08, ICDAR-2023TRACETRACE: Table Reconstruction Aligned to Corner and Edges, (Naver, Works Mobile, Upstage, Kakao), 2023-05, ICDAR-2023TSRFormer DQ-DETRRobust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer, (USTC, Microsoft, SJTU, Alibaba), 2023-03, Pattern-Recognition.2023GrabTabGrab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation, (Tencent), 2023-03, AAAI-2024SEMv2SEMv2: Table Separation Line Detection Based on Conditional Convolution, (USTC, iFLYTEK), 2023-03, Pattern-Recognition.2024LRCAANetTable Structure Recognition Method Based on Lightweight Network and Channel Attention, (QDU), 2023-01, Electronics.2023- Table Structure Recognition Based on Grid Shape Graph, (SNU, LG, Ajou), 2022-11, APSIPAASC-2022
- Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition, (uOttawa, Lytica), 2022-11, GLOBECOM-2022
TRUSTTRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers, (Baidu, DUT), 2022-08, arXivTSRFormerTSRFormer: Table Structure Recognition with Transformers, (Microsoft, UCAS, USTC, SJTU), 2022-08, ACM-MM-2022- A Structure-Focused Deep Learning Approach for Table Recognition from Document Images, (OSU), 2022-06, COMPSAC-2022
DeTableDeTable: Table data extraction model based on deep, (BUAA), 2022-05, ICNCC-2021RCANetRCANet: A Rows and Columns Aggregated Network for Table Structure Recognition, (JIT, NJUPT), 2022-05, ICTC-2022RobusTabNetRobust Table Detection and Structure Recognition from Heterogeneous Document Images, (USTC, Microsoft), 2022-03, Pattern-Recognition.2023TATRPubTables-1M: Towards comprehensive table extraction from unstructured documents, (Microsoft), 2021-10, CVPR-2022CoDecTable Structure Recognition Using CoDec Encoder-Decoder, (Mastercard), 2021-09, ICDAR-Workshop-2021- Rethinking Table Structure Recognition Using Sequence Labeling Methods, (PKU, Huawei), 2021-09, ICDAR-2021
SEMSplit, Embed and Merge: An accurate table structure recognizer, (USTC, iFLYTEK), 2021-07, Pattern-Recognition.2022- Guided Table Structure Recognition through Anchor Optimization, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- A Deep Semantic Segmentation Model for Image-based Table Structure Recognition, (PKU), 2020-12, ICSP-2020
- Holistic design for deep learning-based discovery of tabular structures in datasheet images, (uOttawa, ITU, Lytica), 2020-04, Engineering-Applications-of-Artificial-Intelligence.2020
- Table Localization and Segmentation using GAN and CNN, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-Workshop-2019
DeepTabStRDeepTabStR: Deep Learning based Table Structure Recognition, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019- Rethinking Semantic Segmentation for Table Structure Recognition in Documents, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019
SPLERGEDeep Splitting and Merging for Table Structure Decomposition, (Adobe, BYU), 2019-09, ICDAR-2019TableNetTableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images, (TCS), 2019-09, ICDAR-2019- Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks, (NUST, NCAI), 2019-09, ICDAR-2019
- Deep Learning for Recognizing the Anatomy of Tables on Datasheets, (uOttawa, Lytica), 2019-06, ISCC-2019
- Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms, (Swiss Re), 2019-04, IJCNN-2019
DeepDeSRTDeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images, (Hochschule Mannheim, TU Kaiserslautern, DFKI), 2017-11, ICDAR-2017
TableRocketTableRocket: An Efficient and Effective Framework for Table Reconstruction, (UCAS, CAS, Zhongke Fanyu), 2024-11, PRCV-2024ETTEnd to End Table Transformer, (TLU, VTCC, Sorbonne), 2024-09, ICDAR-2024LRATNetLRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition, (ECNU, SHMTU, SUES), 2024-01, MMM-2024LORE++LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training, (Alibaba, ZJU), 2024-01, Pattern-Recognition.2025GridFormerGridFormer: Towards Accurate Table Structure Recognition via Grid Prediction, (Baidu, SCUT), 2023-09, ACM-MM-2023SKCNScene Table Structure Recognition with Segmentation and Key Point Collaboration, (SCUT, UCL), 2023-08, ICDAR-2023LORELORE: Logical Location Regression Network for Table Structure Recognition, (ZJU, Alibaba), 2023-03, AAAI-2023StrucTexTv2StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training, (Baidu), 2023-03, ICLR-2023SCANScene table structure recognition with segmentation collaboration and alignment, (SCUT), 2023-01, Pattern-Recognition.2023TSRNetTable Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing, (CAS, UCAS), 2022-12, Pattern-Recognition.2022- Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach, (uOttawa, Lytica), 2022-08, GLOBECOM-2022
T2A Two-Phase Approach for Recognizing Tables with Complex Structures, (BIT, RUC), 2022-04, DASFAA-2022CATT-NetTable Structure Recognition with Conditional Attention, (uOttawa, Lytica), 2022-03, arXiv- Deep-learning and graph-based approach to table structure recognition, (SNU, Ajou), 2021-12, Multimedia-Tools-and-Applications.2022
TOD-NetVisual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022Cycle-CenterNetParsing Table Structures in the Wild, (WHU, Alibaba), 2021-09, ICCV-2021- Adaptive Scaling for Archival Table Structure Recognition, (CAS, UCAS), 2021-09, ICDAR-2021
- Table-structure recognition method using neural networks for implicit ruled line estimation and cell estimation, (Okayama, NII), 2021-08, DocEng-2021
TGRNetTGRNet: A Table Graph Reconstruction Network for Table Structure Recognition, (BJTU, Sydney, JD), 2021-06, ICCV-2021TabCellNetTabCellNet: Deep learning-based tabular cell structure detection, (uOttawa, Lytica), 2021-06, Neurocomputing.2021LGPMALGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment, (Hikvision, ZJU), 2021-05, ICDAR-2021- Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset, (SJTU), 2021-01, ICPR-2020
TabStruct-NetTable Structure Recognition using Top-Down and Bottom-Up Cues, (IIIT), 2020-10, ECCV-2020GTE-CellGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, (UMich, IBM), 2020-05, WACV-2021CascadeTabNetCascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents, (PICT), 2020-04, CVPR-Workshop-2020GFTEGFTE: Graph-based Financial Table Extraction, (SJTU, XNAI), 2020-03, ICPR-2021ReS2TIMReS2TIM: Reconstruct Syntactic Structures from Table Images, (BJTU, Sydney), 2019-09, ICDAR-2019GraphTSRComplicated Table Structure Recognition, (BIT), 2019-08, arXiv
ClusterTabNetClusterTabNet: Supervised clustering method for table detection and table structure recognition, (SAP), 2024-02, ICDAR-2024GTRNetGTRNet: a graph-based table reconstructed network, (SJTU), 2022-10, ICTAI-2022DocReLRelational Representation Learning in Visually-Rich Documents, (Tencent), 2022-05, ACM-MM-2022NCGMNeural Collaborative Graph Machines for Table Structure Recognition, (Tencent), 2021-11, CVPR-2022FLAG-NetShow, Read and Reason: Table Structure Recognition with Flexible Context Aggregator, (Tencent, XMU), 2021-10, ACM-MM-2021TSR-DSAWTSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words, (TCS), 2021-10, ESANN-2021- Image-Based Relation Classification Approach for Table Structure Recognition, (JRI), 2021-09, ICDAR-2021
Form2SeqForm2Seq : A Framework for Higher-Order Form Structure Extraction, (Adobe), 2020-11, EMNLP-2020- Table Structure Recognition Based on Cell Relationship, a Bottom-Up Approach, (Datoin), 2019-09, RANLP-2019
TIES-2.0Rethinking Table Recognition using Graph Neural Networks, (NUST, NCAI), 2019-05, ICDAR-2019
BGTREnhancing Table Structure Recognition via Bounding Box Guidance, (SCUT), 2024-12, ICPR-2024PaliGemma 2PaliGemma 2: A Family of Versatile VLMs for Transfer, (Google), 2024-12, arXivTableAttentionMulti-Modal Attention Based on 2D Structured Sequence for Table Recognition, (CAS, UCAS, Zhongke Fanyu), 2024-11, PRCV-2024- Enhancing Transformer-Based Table Structure Recognition for Long Tables, (PKU), 2024-11, PRCV-2024
UniTabNetUniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition, (USTC, iFLYTEK), 2024-09, EMNLP-2024SPRINTSPRINT: Script-agnostic Structure Recognition in Tables, (IIT Bombay), 2024-09, ICDAR-2024TFLOPTFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism, (Upstage AI), 2024-08, IJCAI-2024TabPediaTabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy, (USTC, ByteDance), 2024-06, NeurIPS-2024MuTabNetMulti-Cell Decoder and Mutual Learning for Table Structure and Character Recognition, (PFN), 2024-04, ICDAR-2024OmniParserOmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition, (Alibaba, HUST), 2024-03, CVPR-2024UniTableUniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining, (Georgia Tech, ADP), 2024-03, NeurIPS-Workshop-2024LinearProjSelf-Supervised Pre-Training for Table Structure Recognition Transformer, (Georgia Tech, ADP), 2024-02, AAAI-Workshop-2024CNN-transformerHigh-Performance Transformers for Table Structure Recognition Need Early Convolutions, (Georgia Tech, ADP), 2023-11, NeurIPS-Workshop-2023- An End-to-End Local Attention Based Model for Table Recognition, (NII), 2023-08, ICDAR-2023
TableVLMTableVLM: Multi-modal Pre-training for Table Structure Recognition, (Fudan, IIPL, Hundsun), 2023-07, ACL-2023MTL-TabNetAn End-to-End Multi-Task Learning Model for Image-based Table Recognition, (NII), 2023-03, VISIGRAPP-2023VASTImproving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling, (Huawei, PKU), 2023-03, CVPR-2023WSTabNetRethinking Image-based Table Recognition Using Weakly Supervised Methods, (NII), 2023-02, ICPRAM-2023CoT_SRNContextual transformer sequence-based recognition network for medical examination reports, (SDNU), 2022-12, Applied-Intelligence.2023- Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022
Tables to LaTeXTables to LaTeX: Structure and Content Extraction from Scientific Tables, (IIT Gandhinagar), 2022-10, IJDAR.2023SLANetPP-StructureV2: A Stronger Document Analysis System, (Baidu), 2022-10, arXivTableFormerTableFormer: Table Structure Understanding with Transformers, (IBM), 2022-03, CVPR-2022TRTTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021TableMASTERPingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML, (Ping An), 2021-05, ICDAR-2021- PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex, (Ping An), 2021-05, ICDAR-2021
EDDImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020TABLE2LATEXChallenges in end-to-end neural scientific table recognition, (Harvard, Bloomberg), 2019-09, ICDAR-2019TableBankTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020