← Search

Oliver Cossairt

8 accepted papers

2023

Thermal Spread Functions (TSF): Physics-Guided Material Classification

CVPR 2023poster

Robust and non-destructive material classification is a challenging but crucial first-step in numerous vision applications. We propose a physics-guided material classification framework that relies on thermal properties of the object. Our key observation is that the rate of heating and cooling of an…

2022

Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes

ICASSP 2022accepted

Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural network (CNN) performance on image classification tasks. But they introduce more hyperparameters to tune as well as the need for additional time and computational power to train, supple…

Cited by 0SourceScholar
2021

SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video

ICCV 2021poster

Light-field (LF) imaging is appealing to the mobile devices market because of its capability for intuitive post-capture processing. Acquiring LF data with high angular, spatial and temporal resolution poses significant challenges, especially with space constraints preventing bulky optics. At the sam…

Cited by 8PDFcodeScholar
2020

Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging

CVPR 2020poster

We present a novel computational imaging system with high resolution and low noise. Our system consists of a traditional video camera which captures high-resolution intensity images, and an event camera which encodes high-speed motion as a stream of asynchronous binary events. To process the hybrid…

Cited by 110PDFScholar
2019

Multi-frame Super-resolution for Time-of-flight Imaging

ICASSP 2019accepted

Recently, time-of-flight (ToF) sensors have emerged as a promising three-dimensional sensing technology that can be manufactured inexpensively in a compact size. However, current state-of-the-art ToF sensors suffer from low spatial resolution due to physical limitations in the fabrication process. I…

Cited by 0SourceScholar
2019

Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks

ICASSP 2019accepted

In this paper, the problem of automatic nonlinear unmixing of hyperspectral reflectance data using works of art as test cases is described. We use a deep neural network to decompose a given spectrum quantitatively to the abundance values of pure pigments. We show that adding another step to identify…

Cited by 0SourceScholar
2018

3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing

ICASSP 2018accepted

Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal p…

Cited by 0SourceScholar
2017

Linear systems approach to identifying performance bounds in indirect imaging

ICASSP 2017accepted

Light scattering on diffuse rough surfaces was long assumed to destroy geometry and photometry information about hidden (non line of sight) objects making `looking around the corner' (LATC) and `non line of sight' (NLOS) imaging impractical. Recent work pioneered by Kirmani et al. [1], Velten et al.…

Cited by 0SourceScholar