5 citations · 13 across the 14 of their papers we have counts for
5 papers · 1 filter
Cross-Modal Attention Guided Unlearning in Vision-Language Models
Karuna Bhaila, Aneesh Komanduri, Minh-Hao Van +1
Vision-Language Models (VLMs) have demonstrated immense capabilities in multi-modal understanding and inference tasks such as Visual Question Answering (VQA), which requires models…
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
Minh-Hao Van, Xintao Wu
The rapid evolution of social media has provided enhanced communication channels for individuals to create online content, enabling them to express their thoughts and opinions. Mul…
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
Prateek Verma, Minh-Hao Van, Xintao Wu
Vision language models (VLMs) have recently emerged and gained the spotlight for their ability to comprehend the dual modality of image and textual data. VLMs such as LLaVA, ChatGP…
Robust Influence-based Training Methods for Noisy Brain MRI
Minh-Hao Van, Alycia N. Carey, Xintao Wu
Correctly classifying brain tumors is imperative to the prompt and accurate treatment of a patient. While several classification algorithms based on classical image processing or d…
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
Minh-Hao Van, Prateek Verma, Xintao Wu
Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilitie…