From the 1 of 12 linked papers with an AI index.
12 papers
Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction
Tasmiah Haque, Jacob Kosinski, Sumit Mohan +2
Falls among older adults are a major safety challenge, but continuous monitoring is difficult to sustain. Video captures fall-related posture and motion, yet deployment is limited…
XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
Md Mahedi Hasan, Md Mushfiqur Rahaman, Alan Pachkovskiy +3
The paper introduces XCT‑SAM, a sequential parameter‑efficient adaptation method that fine‑tunes the Segment Anything Model with Conv‑LoRA adapters to improve defect segmentation i…
MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs
Shubhadip Nag, Srinjoy Das, Agniva Saha +5
LLMs can be conveniently adapted to a diverse set of tasks, e.g, prediction, question-answering tasks, etc, using appropriate prompts with few-shot examples. Biased or harmful conc…
Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease
Hamed Khosravi, Milad Khanchi, Mobina Noori +3
Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for…
Multimodal Transformer Based Generic Mixture Density Network for Scattering Timescale Estimation of Fast Radio Bursts
Bikash Kharel, Emmanuel Fonseca, Srinjoy Das +5
The discovery rate of fast radio bursts (FRBs) continues to increase with the advent of new radio facilities and yet extracting their astrophysical parameters such as scattering ti…
Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer
Tasmiah Haque, Srinjoy Das
Real-time video motion transfer applications such as immersive gaming and vision-based anomaly detection require accurate yet diverse future predictions to support realistic synthe…