activity
20182021
most citedCoSE: Compositional Stroke Embeddings

12 citations · 28 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2021

Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala +4

In this paper, we demonstrate how a generative model can be used to build a better recognizer through the control of content and style. We are building an online handwriting recogn…

cs.LG2020★ 12 cited

CoSE: Compositional Stroke Embeddings

Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi +1

We present a generative model for complex free-form structures such as stroke-based drawing tasks. While previous approaches rely on sequence-based models for drawings of basic obj…

cs.HC2020★ 9 cited

The DIDI dataset: Digital Ink Diagram data

Philippe Gervais, Thomas Deselaers, Emre Aksan +1

We are releasing a dataset of diagram drawings with dynamic drawing information. The dataset aims to foster research in interactive graphical symbolic understanding. The dataset wa…

cs.CV2019

A Scalable Handwritten Text Recognition System

R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers +2

Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR cap…

cs.LG2019

IndyLSTMs: Independently Recurrent LSTMs

Pedro Gonnet, Thomas Deselaers

We introduce Independently Recurrent Long Short-term Memory cells: IndyLSTMs. These differ from regular LSTM cells in that the recurrent weights are not modeled as a full matrix, b…

cs.CL2019

Fast Multi-language LSTM-based Online Handwriting Recognition

Victor Carbune, Pedro Gonnet, Thomas Deselaers +7

We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture. This new system has completely replaced our previous Segmen…

cs.LG2018★ 7 cited

SmartChoices: Hybridizing Programming and Machine Learning

Victor Carbune, Thierry Coppey, Alexander Daryin +3

We present SmartChoices, an approach to making machine learning (ML) a first class citizen in programming languages which we see as one way to lower the entrance cost to applying M…