activity
20242026
most citedThought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)

23 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

RA-CoA: Training-free Fashion Image Captioning via Retrieval-Augmented Chain-of-Attributes

Abhirama Subramanyam Penamakuri, Shreya Shukla, Anand Mishra

Fashion Image Captioning (FIC) plays a vital role in enhancing user experience and product search in e-commerce platforms. Unlike natural scene image captioning, FIC requires fine-…

cs.AI2025★ 1 cited

A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond

Shreya Shukla, Jose Torres, Akshaj Murhekar +4

Decoding neural activity into human-interpretable representations is a key research direction in brain-computer interfaces (BCIs) and computational neuroscience. Recent progress in…

cs.CV2025

Towards Making Flowchart Images Machine Interpretable

Shreya Shukla, Prajwal Gatti, Yogesh Kumar +2

Computer programming textbooks and software documentations often contain flowcharts to illustrate the flow of an algorithm or procedure. Modern OCR engines often tag these flowchar…

cs.CV2025

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

Shreya Shukla, Nakul Sharma, Manish Gupta +1

Writing comprehensive and accurate descriptions of technical drawings in patent documents is crucial to effective knowledge sharing and enabling the replication and protection of i…

cs.CL2024★ 23 cited

Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)

Abhijit Mishra, Shreya Shukla, Jose Torres +2

Decoding and expressing brain activity in a comprehensible form is a challenging frontier in AI. This paper presents Thought2Text, which uses instruction-tuned Large Language Model…