10 citations · 17 across the 17 of their papers we have counts for
9 papers · 1 filter
DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation
Md Mushfiqur Rahaman, Md Mahedi Hasan, Imtiaz Ahmed +1
Metal additive manufacturing parts are inspected by X-ray computed tomography, where labelled data is scarce, the pores and inclusions that matter span a few pixels, and inspection…
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 and health-systems challenge, yet continuous in-person monitoring is difficult to sustain across home and clinical care settings. Video-…
XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
Md Mahedi Hasan, Md Mushfiqur Rahaman, Alan Pachkovskiy +3
Defect segmentation in additive manufacturing (AM) X-ray computed tomography (XCT) images remains challenging due to severe class imbalance and large distribution shifts across sca…
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…
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…
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…
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…
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction
Xue Bai, Tasmiah Haque, Sumit Mohan +4
We propose a deep learning based novel prediction framework for enhanced bandwidth reduction in motion transfer enabled video applications such as video conferencing, virtual reali…
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything
Israt Zarin Era, Imtiaz Ahmed, Zhichao Liu +1
Foundation models are currently driving a paradigm shift in computer vision tasks for various fields including biology, astronomy, and robotics among others, leveraging user-genera…