90 citations · 121 across the 8 of their papers we have counts for
9 papers · 1 filter
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…
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…