8 citations · 12 across the 8 of their papers we have counts for
4 papers · 1 filter
Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu +1
Recent research suggests that Vision Language Models (VLMs) often rely on inherent biases learned during training when responding to queries about visual properties of images. Thes…
Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu +1
Recent research on Vision Language Models (VLMs) suggests that they rely on inherent biases learned during training to respond to questions about visual properties of an image. The…
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more. However, combining image and text modalities using current stat…
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more. However, combining image and text modalities using current stat…