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08/24/2023
LORD: Leveraging Open-Set Recognition with Unknown Data
Handling entirely unknown data is a challenge for any deployed classifie...
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05/30/2022
Exploring the Open World Using Incremental Extreme Value Machines
Dynamic environments require adaptive applications. One particular machi...
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11/12/2019
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
The image signal processing pipeline (ISP) is a core element of digital ...
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12/21/2018
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging
The optical resolution of a digital camera is one of its most crucial pa...
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09/17/2018
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Capturing ground truth data to benchmark super-resolution (SR) is challe...
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06/12/2018
P4CEP: Towards In-Network Complex Event Processing
In-network computing using programmable networking hardware is a strong ...
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02/15/2018
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
Magnetic resonance imaging (MRI) enables 3-D imaging of anatomical struc...
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02/12/2018
Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond
This paper introduces an universal and structure-preserving regularizati...
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09/08/2017
Benchmarking Super-Resolution Algorithms on Real Data
Over the past decades, various super-resolution (SR) techniques have bee...
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03/08/2017
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
Optical coherence tomography (OCT) enables high-resolution and non-invas...
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09/06/2016
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution
Motion estimation across low-resolution frames and the reconstruction of...
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02/10/2016