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From the 1 of 14 linked papers with an AI index.

activity
20242026
most citedBinary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease

3 citations · 3 across the 5 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling

Tasmiah Haque, Md. Asif Bin Syed, Byungheon Jeong +5

Motion Transfer is a technique that synthesizes videos by transferring motion dynamics from a driving video to a source image. In this work we propose a deep learning-based framewo…

cs.CV2025

GIF: Generative Inspiration for Face Recognition at Scale

Saeed Ebrahimi, Sahar Rahimi, Ali Dabouei +3

Aiming to reduce the computational cost of Softmax in massive label space of Face Recognition (FR) benchmarks, recent studies estimate the output using a subset of identities. Alth…

cs.CV2025

In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers

Israt Zarin Era, Fan Zhou, Ahmed Shoyeb Raihan +5

Directed Energy Deposition (DED) offers significant potential for manufacturing complex and multi-material parts. However, internal defects such as porosity and cracks can compromi…