Search Results for author: James Taylor

Found 4 papers, 1 papers with code

Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenes

no code implementations16 Nov 2023 Aniket Dashpute, Jiazhang Wang, James Taylor, Oliver Cossairt, Ashok Veeraraghavan, Florian Willomitzer

In this paper, we present a novel event-based structured light system that enables fast 3D imaging of mixed reflectance scenes with high accuracy.

RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods

no code implementations13 Jan 2023 Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran Haque, Berton Earnshaw

We propose a classification task designed to evaluate the effectiveness of experimental batch correction methods on these images and examine the performance of a number of correction methods on this task.

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces

3 code implementations17 May 2019 Philipp Becker, Harit Pandya, Gregor Gebhardt, Cheng Zhao, James Taylor, Gerhard Neumann

In order to integrate uncertainty estimates into deep time-series modelling, Kalman Filters (KFs) (Kalman et al., 1960) have been integrated with deep learning models, however, such approaches typically rely on approximate inference techniques such as variational inference which makes learning more complex and often less scalable due to approximation errors.

Image Imputation Imputation +4

Hardware and Software manual for Evolution of Oil Droplets in a Chemo-Robotic Platform

no code implementations7 Nov 2014 Juan Manuel Parrilla Gutierrez, Trevor Hinkley, James Taylor, Kliment Yanev, Leroy Cronin

This manual outlines a fully automated liquid handling robot to enable physically-embodied evolution within a chemical oil-droplet system.

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