most citedRecovering implicit physics model under real-world constraints

7 citations · 8 across the 11 of their papers we have counts for

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cs.CV2024

STORM: Strategic Orchestration of Modalities for Rare Event Classification

Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta

In domains such as biomedical, expert insights are crucial for selecting the most informative modalities for artificial intelligence (AI) methodologies. However, using all availabl…

cs.CV2024

Framework for developing and evaluating ethical collaboration between expert and machine

Ayan Banerjee, Payal Kamboj, Sandeep Gupta

Precision medicine is a promising approach for accessible disease diagnosis and personalized intervention planning in high-mortality diseases such as coronary artery disease (CAD),…

cs.CV2024

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

Ayan Banerjee, Sanket Biswas, Josep Lladós +1

Object detection in documents is a key step to automate the structural elements identification process in a digital or scanned document through understanding the hierarchical struc…

cs.CV2023

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…

cs.CV20231 cited

Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy

Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta +1

Surgical disconnection of Seizure Onset Zones (SOZs) at an early age is an effective treatment for Pharmaco-Resistant Epilepsy (PRE). Pre-surgical localization of SOZs with intra-c…