90 citations · 235 across the 13 of their papers we have counts for
13 papers
IDP Accelerator: Agentic Document Intelligence from Extraction to Compliance Validation
Md Mofijul Islam, Md Sirajus Salekin, Joe King +8
Understanding and extracting structured insights from unstructured documents remains a foundational challenge in industrial NLP. While Large Language Models (LLMs) enable zero-shot…
DocSplit: A Comprehensive Benchmark Dataset and Evaluation Approach for Document Packet Recognition and Splitting
Md Mofijul Islam, Md Sirajus Salekin, Nivedha Balakrishnan +6
Document understanding in real-world applications often requires processing heterogeneous, multi-page document packets containing multiple documents stitched together. Despite rece…
Agentic generative AI for media content discovery at the national football league
Henry Wang, Md Sirajus Salekin, Jake Lee +3
Generative AI has unlocked new possibilities in content discovery and management. Through collaboration with the National Football League (NFL), we demonstrate how a generative-AI…
Domain Adaptation of VLM for Soccer Video Understanding
Tiancheng Jiang, Henry Wang, Md Sirajus Salekin +2
Vision Language Models (VLMs) have demonstrated strong performance in multi-modal tasks by effectively aligning visual and textual representations. However, most video understandin…
Robust Neonatal Face Detection in Real-world Clinical Settings
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi +2
Current face detection algorithms are extremely generalized and can obtain decent accuracy when detecting the adult faces. These approaches are insufficient when handling outlier c…
Pattern Recognition in Vital Signs Using Spectrograms
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry Goldgof +3
Spectrograms visualize the frequency components of a given signal which may be an audio signal or even a time-series signal. Audio signals have higher sampling rate and high variab…
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliab…
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain. It specifically investigates the use…
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul +4
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, deve…
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing. The current clinical standard for assessing neonatal pain is intermittent and…
Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element
Rafsanjany Kushol, Md. Nishat Raihan, Md Sirajus Salekin +1
To guide surgical and medical treatment X-ray images have been used by physicians in every modern healthcare organization and hospitals. Doctor's evaluation process and disease ide…
Cooking State Recognition from Images Using Inception Architecture
Md Sirajus Salekin, Ahmad Babaeian Jelodar, Rafsanjany Kushol
A kitchen robot properly needs to understand the cooking environment to continue any cooking activities. But object's state detection has not been researched well so far as like ob…
Identifying Object States in Cooking-Related Images
Ahmad Babaeian Jelodar, Md Sirajus Salekin, Yu Sun
Understanding object states is as important as object recognition for robotic task planning and manipulation. To our knowledge, this paper explicitly introduces and addresses the s…