{"total":23,"rows":[{"id":"2406.01326","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","created":"2024-06-03","cited_by_count":71,"area":null},{"id":"2310.16809","title":"Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation","created":"2023-10-25","cited_by_count":46,"area":null},{"id":"2303.06949","title":"Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling","created":"2023-03-13","cited_by_count":41,"area":null},{"id":"2309.14962","title":"GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction","created":"2023-09-26","cited_by_count":13,"area":null},{"id":"2303.04384","title":"SEMv2: Table Separation Line Detection Based on Instance Segmentation","created":"2023-03-08","cited_by_count":12,"area":null},{"id":"2303.11615","title":"Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer","created":"2023-03-21","cited_by_count":12,"area":null},{"id":"2601.20430","title":"Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding","created":"2026-01-28","cited_by_count":10,"area":null},{"id":"2501.11800","title":"TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism","created":"2025-01-21","cited_by_count":9,"area":null},{"id":"2405.11862","title":"SEMv3: A Fast and Robust Approach to Table Separation Line Detection","created":"2024-05-20","cited_by_count":7,"area":null},{"id":"2303.09174","title":"Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation","created":"2023-03-16","cited_by_count":6,"area":null},{"id":"2305.00630","title":"TRACE: Table Reconstruction Aligned to Corner and Edges","created":"2023-05-01","cited_by_count":6,"area":null},{"id":"2503.11932","title":"SPRINT: Script-agnostic Structure Recognition in Tables","created":"2025-03-15","cited_by_count":6,"area":null},{"id":"2506.07015","title":"TABLET: Table Structure Recognition using Encoder-only Transformers","created":"2025-06-08","cited_by_count":5,"area":null},{"id":"2507.05805","title":"DREAM: Document Reconstruction via End-to-end Autoregressive Model","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2606.29905","title":"StrucTab: A Structured Optimization Framework for Table Parsing","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2504.17522","title":"TableCenterNet: A one-stage network for table structure recognition","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2506.21920","title":"SepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognition","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2604.16070","title":"TableSeq: Unified Generation of Structure, Content, and Layout","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.22422","title":"FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2607.00734","title":"ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2608.09842","title":"From Diagnosis to Correction: Benchmarking and Improving Real-World Table Parsing","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2609.08705","title":"Enhancing Table Structure Recognition via Bounding Box Guidance","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.17458","title":"Tables Decoded: DELTA for Structure, TARQA for Understanding","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}