3 citations · 5 across the 7 of their papers we have counts for
8 papers
Towards Trustworthy Biological Alignment in TabPFN-Probed Pathology Foundation Models
Ushashi Bhattacharjee, Alloy Das, Saria Hannan +3
Histology and transcriptomics provide complementary views of tissue biology, capturing spatial morphology and molecular activity, respectively. Pathology foundation models (PFMs) l…
Lighting-aware Unified Model for Instance Segmentation
Qisai Liu, Alloy Das, Zhanhong Jiang +4
Foundation models like the Segment Anything Model (SAM) demonstrate impressive zero-shot generalization but frequently degrade under diverse real-world illumination, particularly f…
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding
Aniket Pal, Sanket Biswas, Alloy Das +6
Understanding and reasoning over academic handwritten notes remains a challenge in document AI, particularly for mathematical equations, diagrams, and scientific notations. Existin…
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
Alloy Das, Rohit Agarwal, Rituparna Singh +2
The infectious disease caused by novel corona virus (2019-nCoV) has been widely spreading since last year and has shaken the entire world. It has caused an unprecedented effect on…
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
Alloy Das, Sanket Biswas, Umapada Pal +2
The proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficien…
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance
Alloy Das, Sanket Biswas, Ayan Banerjee +3
The adaptation capability to a wide range of domains is crucial for scene text spotting models when deployed to real-world conditions. However, existing state-of-the-art (SOTA) app…
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes
Alloy Das, Sanket Biswas, Umapada Pal +1
When used in a real-world noisy environment, the capacity to generalize to multiple domains is essential for any autonomous scene text spotting system. However, existing state-of-t…
FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework
Alloy Das, Sanket Biswas, Prasun Roy +5
Scene Text Editing (STE) is a challenging research problem, that primarily aims towards modifying existing texts in an image while preserving the background and the font style of t…