Search Results for author: Shubham Paliwal

Found 8 papers, 1 papers with code

SmartFlow: Robotic Process Automation using LLMs

no code implementations21 May 2024 Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff

To assess the effectiveness of SmartFlow, we have developed a dataset that includes a set of generic enterprise applications with diverse layouts, which we are releasing for research use.

Multi-Subject Personalization

no code implementations21 May 2024 Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig

Creative story illustration requires a consistent interplay of multiple characters or objects.

CustomText: Customized Textual Image Generation using Diffusion Models

no code implementations21 May 2024 Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig

Despite recent strides in language-guided image synthesis using diffusion models, current models excel in image generation but struggle with accurate text rendering and offer limited control over font attributes.

Decoder Image Generation +1

TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words

no code implementations14 Mar 2022 Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig

In this paper, we propose to train a deep network to capture the spatial associations between different word pairs present in the table image for unravelling the table structure.

Text Detection

Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams

no code implementations8 Sep 2021 Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig

A novel and efficient kernel-based line detection and a two-step method for detection of complex symbols based on a fine-grained deep recognition technique is presented in the paper.

Line Detection Management

OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN

no code implementations8 Sep 2021 Shubham Paliwal, Monika Sharma, Lovekesh Vig

The proposed pipeline, named OSSR-PID, is fast and gives outstanding performance for recognition of symbols on a synthetic dataset of 100 P&ID diagrams.

One-Shot Learning

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

5 code implementations6 Jan 2020 Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig

This includes accurate detection of the tabular region within an image, and subsequently detecting and extracting information from the rows and columns of the detected table.

Table Detection Transfer Learning

Automatic Information Extraction from Piping and Instrumentation Diagrams

no code implementations28 Jan 2019 Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig

To that end, we present a novel pipeline for information extraction from P&ID sheets via a combination of traditional vision techniques and state-of-the-art deep learning models to identify and isolate pipeline codes, pipelines, inlets and outlets, and for detecting symbols.

Management

Cannot find the paper you are looking for? You can Submit a new open access paper.