6 papers
Broadband Content-Adaptive Moiré Meta-spectrometer
Arnab Ghosh, Johannes E. Fröch, Arka Majumdar +1
Optical spectroscopy underpins material characterization, chemical sensing, and astronomy, but conventional instruments face a rigid trade-off between footprint, spectral range, an…
The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
Kushal Vyas, Alper Kayabasi, Daniel Kim +3
The approximation and convergence properties of implicit neural representations (INRs) are known to be highly sensitive to parameter initialization strategies. While several data-d…
CARD: Correlation Aware Restoration with Diffusion
Niki Nezakati, Arnab Ghosh, Amit Roy-Chowdhury +1
Denoising diffusion models have achieved state-of-the-art performance in image restoration by modeling the process as sequential denoising steps. However, most approaches assume in…
TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion
Piyush Dashpute, Niki Nezakati, Wolfgang Heidrich +1
Thermal images from low-cost cameras often suffer from low resolution, fixed pattern noise, and other localized degradations. Available datasets for thermal imaging are also limite…
Bias for Action: Video Implicit Neural Representations with Bias Modulation
Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan +1
We propose a new continuous video modeling framework based on implicit neural representations (INRs) called ActINR. At the core of our approach is the observation that INRs can be…
Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis
Narges Ehsani, Vishwanath Saragadam, Hamed Mohsenian-Rad
There is currently a paradigm shift in several power system monitoring applications, such as incipient fault detection and monitoring inverter-based resources, to transition from t…