activity
20212026
most citedTables to LaTeX: structure and content extraction from scientific tables

9 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue

Kratika Bhagtani, Mrinal Anand, Yu Chen Xu +1

Existing voice AI assistants treat every detected pause as an invitation to speak. This works in dyadic dialogue, but in multi-party settings, where an AI assistant participates al…

cs.IR2022★ 9 cited

Tables to LaTeX: structure and content extraction from scientific tables

Pratik Kayal, Mrinal Anand, Harsh Desai +1

Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded within PDF research documents is a v…

cs.CV2021

Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation

Mrinal Anand, Aditya Garg

We witnessed a massive growth in the supervised learning paradigm in the past decade. Supervised learning requires a large amount of labeled data to reach state-of-the-art performa…

eess.IV2021★ 3 cited

HDRVideo-GAN: Deep Generative HDR Video Reconstruction

Mrinal Anand, Nidhin Harilal, Chandan Kumar +1

High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, i…

cs.LG2021

On Adversarial Robustness of Synthetic Code Generation

Mrinal Anand, Pratik Kayal, Mayank Singh

Automatic code synthesis from natural language descriptions is a challenging task. We witness massive progress in developing code generation systems for domain-specific languages (…

cs.IR2021

ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX

Pratik Kayal, Mrinal Anand, Harsh Desai +1

Tables present important information concisely in many scientific documents. Visual features like mathematical symbols, equations, and spanning cells make structure and content ext…