activity
20102024
most citedMultiple Kernel Sparse Representations for Supervised and Unsupervised Learning

67 citations · 238 across the 29 of their papers we have counts for

collaborators

37 papers

eess.IV2024

Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection

David F. Ramirez, Deep Pujara, Cihan Tepedelenlioglu +2

Utility-scale solar arrays require specialized inspection methods for detecting faulty panels. Photovoltaic (PV) panel faults caused by weather, ground leakage, circuit issues, tem…

eess.IV2022

Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques

David Ramirez, Suren Jayasuriya, Andreas Spanias

Mixed reality (MR) is a key technology which promises to change the future of warfare. An MR hybrid of physical outdoor environments and virtual military training will enable engag…

cs.CV2022

Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation

Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch +2

There is tremendous scope for improving the energy efficiency of embedded vision systems by incorporating programmable region-of-interest (ROI) readout in the image sensor design.…

cs.LG2021★ 2 cited

Designing Counterfactual Generators using Deep Model Inversion

Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Deepta Rajan +3

Explanation techniques that synthesize small, interpretable changes to a given image while producing desired changes in the model prediction have become popular for introspecting b…

cs.SD2021

On the Design of Deep Priors for Unsupervised Audio Restoration

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias

Unsupervised deep learning methods for solving audio restoration problems extensively rely on carefully tailored neural architectures that carry strong inductive biases for definin…

cs.LG2021

Loss Estimators Improve Model Generalization

Vivek Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan +1

With increased interest in adopting AI methods for clinical diagnosis, a vital step towards safe deployment of such tools is to ensure that the models not only produce accurate pre…