1 citations · 1 across the 10 of their papers we have counts for
12 papers
RADI3N: GeometRic ImAge EDiting via ParametrIc 3D CoNtrol
Abdul Wasi, Akhil Gorugantu, Mahesh Bhosale +4
Recent diffusion-based methods have substantially advanced image editing, yet parametric 3D control at the part level remains challenging. Existing approaches either operate on who…
TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation
Pengyu Yan, Akhil Gorugantu, Mahesh Bhosale +3
Multi-video event understanding demands models that can locate and attribute query-relevant evidence scattered across long, heterogeneous video corpora. Existing large vision-langu…
Score-Control for Hallucination Reduction in Diffusion Models
Mahesh Bhosale, Naresh Kumar Devulapally, Abdul Wasi +3
Diffusion models have emerged as the backbone of modern generative AI, powering advances in vision, language, audio and other modalities. Despite their success, they suffer from ha…
CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering
Mahesh Bhosale, Abdul Wasi, Vishvesh Trivedi +3
Grounded multi-video question answering over real-world news events requires systems to surface query-relevant evidence across heterogeneous video archives while attributing every…
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…
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…
Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation
Chao Wu, Mahesh Bhosale, Kangxian Xie +3
Ambiguous 3D medical image segmentation often involves boundaries where different expert delineations are non-identical yet clinically plausible. Modeling such inter-observer varia…
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…
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…
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…
Player Re-Identification Using Body Part Appearences
Mahesh Bhosale, Abhishek Kumar, David Doermann
We propose a neural network architecture that learns body part appearances for soccer player re-identification. Our model consists of a two-stream network (one stream for appearanc…
LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation
Jay Lal, Aditya Mitkari, Mahesh Bhosale +1
Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format. However…