activity
20242026
most citedChartReformer: Natural Language-Driven Chart Image Editing

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation

Shantam Srivastava, Mahesh Bhosale, David Doermann +1

Interpreting chest X-rays is inherently challenging due to the overlap between anatomical structures and the subtle presentation of many clinically significant pathologies, making…

cs.CV2026

FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants

Mahesh Bhosale, Abdul Wasi, Shantam Srivastava +5

While powerful in image-conditioned generation, multimodal large language models (MLLMs) can display uneven performance across demographic groups, highlighting fairness risks. In s…

cs.CV2025

AutoEdit: Automatic Hyperparameter Tuning for Image Editing

Chau Pham, Quan Dao, Mahesh Bhosale +3

Recent advances in diffusion models have revolutionized text-guided image editing, yet existing editing methods face critical challenges in hyperparameter identification. To get th…

cs.CV2025

PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions

Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai +7

Diffusion-based generative models have shown promise in synthesizing histopathology images to address data scarcity caused by privacy constraints. Diagnostic text reports provide h…

cs.CV20241 cited

ChartReformer: Natural Language-Driven Chart Image Editing

Pengyu Yan, Mahesh Bhosale, Jay Lal +2

Chart visualizations are essential for data interpretation and communication; however, most charts are only accessible in image format and lack the corresponding data tables and su…