Chris Tensmeyer
Publications by Year
Research Areas
Handwritten Text Recognition Techniques, Generative Adversarial Networks and Image Synthesis, Image Processing and 3D Reconstruction, Natural Language Processing Techniques, Topic Modeling
Most-Cited Works
- → Towards Language-Free Training for Text-to-Image Generation(2022)174 cited
- → Start, Follow, Read: End-to-End Full-Page Handwriting Recognition(2018)110 cited
- → Deep Splitting and Merging for Table Structure Decomposition(2019)104 cited
- → Historical Document Image Binarization: A Review(2020)69 cited
- → End-to-End Document Recognition and Understanding with Dessurt(2023)53 cited
- → Cross-Domain Document Object Detection: Benchmark Suite and Method(2020)51 cited
- → LAFITE: Towards Language-Free Training for Text-to-Image Generation(2021)37 cited
- → Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks(2019)23 cited
- → ICPR 2020 - Competition on Harvesting Raw Tables from Infographics(2021)23 cited
- → Text and Style Conditioned GAN for Generation of Offline Handwriting Lines(2020)19 cited