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TSRFormer

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01264-9_45openalex-snapshot

CornerNet: Detecting Objects as Paired Keypoints

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot

End-to-End Object Detection with Transformers

inferredcites →https://doi.org/10.1007/978-3-030-58589-1_34openalex-snapshot

Image-Based Table Recognition: Data, Model, and Evaluation

inferredcites →https://doi.org/10.1007/978-3-030-58604-1_5openalex-snapshot

Table Structure Recognition Using Top-Down and Bottom-Up Cues

inferredcites →https://doi.org/10.1007/978-3-030-68790-8_50openalex-snapshot

GFTE: Graph-Based Financial Table Extraction

inferredcites →https://doi.org/10.1016/j.ipm.2019.01.008openalex-snapshot

TEXUS: A unified framework for extracting and understanding tables in PDF documents

inferredcites →https://doi.org/10.1109/access.2021.3103413openalex-snapshot

Guided Table Structure Recognition Through Anchor Optimization

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.89openalex-snapshot

Training Region-Based Object Detectors with Online Hard Example Mining

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.555openalex-snapshot

Relationship Proposal Networks

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00294openalex-snapshot

CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.00098openalex-snapshot

Parsing Table Structures in the Wild

inferredcites →https://doi.org/10.1109/iccv48922.2021.00133openalex-snapshot

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

inferredcites →https://doi.org/10.1109/iccv48922.2021.00359openalex-snapshot

Rethinking Transformer-based Set Prediction for Object Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.00360openalex-snapshot

Fast Convergence of DETR with Spatially Modulated Co-Attention

inferredcites →https://doi.org/10.1109/iccv48922.2021.00363openalex-snapshot

Conditional DETR for Fast Training Convergence

inferredcites →https://doi.org/10.1109/icdar.2017.192openalex-snapshot

DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images

inferredcites →https://doi.org/10.1109/icdar.2019.00027openalex-snapshot

Deep Splitting and Merging for Table Structure Decomposition

inferredcites →https://doi.org/10.1109/icdar.2019.00029openalex-snapshot

TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images

inferredcites →https://doi.org/10.1109/icdar.2019.00031openalex-snapshot

Rethinking Table Recognition using Graph Neural Networks

inferredcites →https://doi.org/10.1109/icdar.2019.00125openalex-snapshot

ReS2TIM: Reconstruct Syntactic Structures from Table Images

inferredcites →https://doi.org/10.1109/icpr.1992.201803openalex-snapshot

Identifying and understanding tabular material in compound documents

inferredcites →https://doi.org/10.1109/icsp48669.2020.9321003openalex-snapshot

A Deep Semantic Segmentation Model for Image-based Table Structure Recognition

inferredcites →https://doi.org/10.1109/wacv48630.2021.00074openalex-snapshot

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context

inferredcites →https://doi.org/10.1109/wacv51458.2022.00260openalex-snapshot

Visual Understanding of Complex Table Structures from Document Images

inferredcites →https://doi.org/10.1145/2361354.2361365openalex-snapshot

A methodology for evaluating algorithms for table understanding in PDF documents

inferredcites →https://doi.org/10.1145/2960811.2967152openalex-snapshot

Configurable Table Structure Recognition in Untagged PDF documents

inferredcites →https://doi.org/10.1145/3474085.3481534openalex-snapshot

Show, Read and Reason

inferredcites →https://doi.org/10.1609/aaai.v32i1.12301openalex-snapshot

Spatial as Deep: Spatial CNN for Traffic Scene Understanding

inferredcites →https://doi.org/10.3115/1034678.1034746openalex-snapshot

Learning to recognize tables in free text

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4614774openalex-extracted

A Convolutional Projection Based Approach for Dense Table Structure Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.4625865openalex-extracted

A Convolutional Projection Based Approach for Dense Table Structure Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.4826329openalex-extracted

Local Attention-Based Multitask Learning Network for Table Image Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-41679-8_17openalex-snapshot

Scene Table Structure Recognition with Segmentation and Key Point Collaboration

inferred← citeshttps://doi.org/10.1007/978-3-031-41679-8_26openalex-snapshot

ICDAR 2023 Competition on Visual Question Answering on Business Document Images

inferred← citeshttps://doi.org/10.1007/978-3-031-41734-4_29openalex-snapshot

TRACE: Table Reconstruction Aligned to Corner and Edges

inferred← citeshttps://doi.org/10.1007/978-3-031-41734-4_32openalex-snapshot

Formerge: Recover Spanning Cells in Complex Table Structure Using Transformer Network

inferred← citeshttps://doi.org/10.1007/978-3-031-70442-0_7openalex-snapshot

RCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism

inferred← citeshttps://doi.org/10.1007/978-3-031-70533-5_25openalex-snapshot

DTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator

inferred← citeshttps://doi.org/10.1007/978-3-031-70549-6_22openalex-snapshot

Latent Diffusion for Guided Document Table Generation

inferred← citeshttps://doi.org/10.1007/978-3-031-70642-4_11openalex-snapshot

Reformulating Key-Information Extraction as Next Sentence Prediction for Hierarchical Data

inferred← citeshttps://doi.org/10.1007/978-3-031-73741-1_6openalex-snapshot

From Data Science to Modular Workflows Changing Perspectives from Data to Platform: DBDIrl 1864-1922 Case Study

inferred← citeshttps://doi.org/10.1007/978-3-031-78498-9_15openalex-snapshot

Enhancing Table Structure Recognition via Bounding Box Guidance

inferred← citeshttps://doi.org/10.1007/978-3-032-04627-7_8openalex-snapshot

SepFormer: Coarse-to-Fine Separator Regression Network for Table Structure Recognition

inferred← citeshttps://doi.org/10.1007/978-3-032-04630-7_15openalex-snapshot

TABLET: Table Structure Recognition Using Encoder-only Transformers

inferred← citeshttps://doi.org/10.1007/978-3-032-36042-7_3openalex-snapshot

ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition

inferred← citeshttps://doi.org/10.1007/978-3-032-36042-7_4openalex-snapshot

FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers

inferred← citeshttps://doi.org/10.1007/978-3-032-37252-9_37openalex-snapshot

StrucTab: A Structured Optimization Framework for Table Parsing

inferred← citeshttps://doi.org/10.1007/978-981-92-3435-6_42openalex-snapshot

BioTabAug: LLM-Driven Structural and Stylistic Augmentation for Complex Bioinformatics Table Understanding

inferred← citeshttps://doi.org/10.1007/978-981-95-5640-3_33openalex-snapshot

SemReFixNet: A Table Structure Recognition Method Integrating Semantic and Spatial Information

inferred← citeshttps://doi.org/10.1007/978-981-97-8511-7_16openalex-snapshot

Enhancing Transformer-Based Table Structure Recognition for Long Tables

inferred← citeshttps://doi.org/10.1007/978-981-97-8511-7_27openalex-snapshot

Multi-Modal Attention Based on 2D Structured Sequence for Table Recognition

inferred← citeshttps://doi.org/10.1007/s00530-026-02276-zopenalex-snapshot

Tabamba: a Mamba-Transformer hybrid model for table structure recognition

inferred← citeshttps://doi.org/10.1007/s10032-023-00453-8openalex-snapshot

TableStrRec: framework for table structure recognition in data sheet images

inferred← citeshttps://doi.org/10.1007/s10032-025-00516-yopenalex-snapshot

VertexNet: a table structure recognition model based on key points for complex scenes

inferred← citeshttps://doi.org/10.1007/s10032-025-00553-7openalex-snapshot

From pixels to tables: reconstructing complex tables from document images

inferred← citeshttps://doi.org/10.1007/s10032-026-00586-6openalex-snapshot

Tableseq: unified generation of structure, content, and layout

inferred← citeshttps://doi.org/10.1007/s10489-024-05937-6openalex-snapshot

TableGPT: a novel table understanding method based on table recognition and large language model collaborative enhancement

inferred← citeshttps://doi.org/10.1007/s40747-025-01975-wopenalex-snapshot

TableStructureFormer: an improved masked-attention mask transformer model with long-distance feature aggregation and deep detail supervision for table structure recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110279openalex-snapshot

SEMv2: Table separation line detection based on instance segmentation

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114832openalex-snapshot

Text Prior-Guided Cell Alignment with Transformer for Robust Table Structure Recognition

inferred← citeshttps://doi.org/10.1016/j.patrec.2025.11.011openalex-snapshot

Transformer-based dynamic cell bounding box refinement for end-to-end Table Structure Recognition

inferred← citeshttps://doi.org/10.1080/08839514.2026.2712892openalex-snapshot

A Domain-Agnostic Agentic Architecture for Structured Extraction of Engineering Knowledge

inferred← citeshttps://doi.org/10.1109/access.2023.3346326openalex-snapshot

DAFA: A Dual-Awareness Feature Aggregator for Table Structure Recognition on Medical Examination Reports

inferred← citeshttps://doi.org/10.1109/access.2024.3458946openalex-snapshot

Robust Table Structure Recognition Network Based on Local and Global Perspectives

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01071openalex-snapshot

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01481openalex-snapshot

OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition

inferred← citeshttps://doi.org/10.1109/hsi66212.2025.11142406openalex-snapshot

MixLoss: Table Structure Recognition in Industrial Documents via Collaborative Learning

inferred← citeshttps://doi.org/10.1109/icad69378.2026.11608717openalex-snapshot

Lightweight and Maintainable Approach for Table Detection

inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00167openalex-snapshot

TALENT: Table VQA via Augmented Language-Enhanced Natural-Text Transcription

inferred← citeshttps://doi.org/10.1109/icmi68585.2026.11539825openalex-snapshot

High Precision Table Structure Recognition Using Transformer-Based Detection: Fine-Tuning TATR on Large-Scale Cropped Dataset

inferred← citeshttps://doi.org/10.1109/ictas59620.2024.10507118openalex-snapshot

Detection and Recognition of Table structures from Unstructured Documents

inferred← citeshttps://doi.org/10.1109/mapr59823.2023.10288832openalex-snapshot

Information Extraction from Rich Text Images with RoBERTa and LION Optimizer

inferred← citeshttps://doi.org/10.1109/niles68063.2025.11232399openalex-snapshot

EASTER: End-to-End Alignment and Style-Aware Table Extraction and Recognition

inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00231openalex-snapshot

Treading Towards Privacy-Preserving Table Structure Recognition

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00272openalex-snapshot

Tables Decoded: DELTA for Structure, TarQA for Understanding

inferred← citeshttps://doi.org/10.1145/3580305.3599366openalex-snapshot

GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network

inferred← citeshttps://doi.org/10.1145/3581783.3611961openalex-snapshot

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction

inferred← citeshttps://doi.org/10.1145/3706598.3714329openalex-snapshot

TableNarrator: Making Image Tables Accessible to Blind and Low Vision People

inferred← citeshttps://doi.org/10.1145/3746027.3755101openalex-snapshot

G2LFormer: Global-to-Local Query Enhancement for Robust Table Structure Recognition

inferred← citeshttps://doi.org/10.1145/3774521.3774556openalex-snapshot

FormLens: From Ink to Insight with Adapting Vision-Language Models for Handwritten Form Digitization

inferred← citeshttps://doi.org/10.11834/jig.221112openalex-snapshot

文档智能分析与识别前沿：回顾与展望

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9909962/v1openalex-snapshot

LEGR: Learnable-Edge Graph Refinement for Table Structure Recognition

inferred← citeshttps://doi.org/10.3390/electronics13214263openalex-snapshot

TSRDet: A Table Structure Recognition Method Based on Row-Column Detection

inferred← citeshttps://doi.org/10.3390/electronics14040814openalex-snapshot

Research on Intelligent Verification of Equipment Information in Engineering Drawings Based on Deep Learning

inferred← citeshttps://doi.org/10.3390/informatics11040077openalex-snapshot

TableExtractNet: A Model of Automatic Detection and Recognition of Table Structures from Unstructured Documents

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