Shubham Paliwal

Orcid: 0000-0003-1532-801X

According to our database1, Shubham Paliwal authored at least 12 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
SmartFlow: Robotic Process Automation using LLMs.
CoRR, 2024

Multi-Subject Personalization.
CoRR, 2024

CustomText: Customized Textual Image Generation using Diffusion Models.
CoRR, 2024

2023
Generalization of Fine Granular Extractions from Charts.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN.
Proceedings of the International Joint Conference on Neural Networks, 2021

TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2019
Automatic Information Extraction from Piping and Instrumentation Diagrams.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Maximum clearance rapid motion planning algorithm.
Robotica, 2018


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