ctensmeyer Goto Github PK
Name: Christopher Tensmeyer
Type: User
Company: Adobe Research
Bio: I'm a researcher in the Document Intelligence Lab at Adobe Research.
Location: College Park, MD
Christopher Tensmeyer's Projects
baseline_detect
CNN for Detecting Baselines
binarization_2017
byu-awesome
ICDAR 2017 Competitions
caffe
Caffe: a fast open framework for deep learning.
caffe-cs484
This fork of the caffe repo is for a group project for the Parallel Processing class at BYU. We plan on overhauling the input pipeline by introducing a more flexible data structure for instances, and introducing CPU parallelism to speed up asynchronous data loading/preparation.
clamm_2017
Submission for CLaMM competition as part of ICDAR 2017
clamm_submission
This repository contains my submission for the ICFHR2016 COMPETITION ON THE CLASSIFICATION OF MEDIEVAL HANDWRITINGS IN LATIN SCRIPT.
ctensmeyer.github.io
dibco2018
dibco_2017
Submission for DIBCO 2017
dibco_submission
Submission for DIBCO 2017
dpp
Python package to sample from determinantal point processes
font_classification
Code for Font Classification Networks
formcluster
hisdb
Submission for HisDB 2017 competition
pagenet
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pytorch-cyclegan-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
syntheticdocuments
Creates synthetic degraded image documents that could be used to train Neural Networks
website
My Academic Website
whereswaldo
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