Impresee

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[Impresee @impresee]

Espectacular #EstudioNube. Felices de colaborar con nuestra búsqueda y selección de productos, deep analytics y acciones para que las tiendas vendan más y mejor, ahora un formato full omnicanal. #busquedainteligente @Tiendanube @Tiendanubemex

[Educación Continua DCC - Universidad de Chile @PecDCC]

¿Aún no lees Revista Bits sobre #InteligenciaArtificial? Te recomendamos esta sección con investigaciones en este ámbito, entre ellas trabajos de los profesores @aidhog, @felipebravom @isipiran @alexbergel @lejyby y @jbarriosx.

Descarga la Revista en: https://t.co/YxrtIuMgp6

[hardmaru @hardmaru]

Next talk, "Neural Algorithmic Sketching" from @PetarV_93:

There is much similarity between free hand sketching and algorithmic reasoning, so sketching can serve as a basis for representation learning / algorithmic representations of concepts.

1/2

[hardmaru @hardmaru]

The 1st Workshop on Sketch-Oriented Deep Learning Workshop @CVPRConf kicked off! I'll attempt to live tweet the workshop.

@junyanz89's talk on "Sketch Your Own Models" discuss combining human sketching to interface with the latent space of photos, and even rewrite entire models.

[hardmaru @hardmaru]

Interested in Deep Learning for Doodles? 🖍️

Excited to announce that our proposal for a @CVPR workshop on “Sketch-Oriented Deep Learning” (SketchDL) has been accepted! The workshop is on June 19, and the submission deadline is March 23.

Workshop website: https://t.co/JnaDWTci9I

[hardmaru @hardmaru]

Graph neural networks demonstrate promising potential for algorithmic reasoning (some early results for extrapolation), and in principle can be trained via backprop to learn drawing algorithms and even parse-tree generative models (i.e. L-Systems representations of plants).

2/2

[hardmaru @hardmaru]

“Drawing is a cognitive technology.”

@judyefan describes a theory of how contextual and perceptual information are combined.

Humans navigate this axis (1/2):

[hardmaru @hardmaru]

There are important open challenges in the intersection of ML and cognitive science, with regards to not only object-part segmentation in both photos and human sketches, but also learning higher-order abstractions of images, and linking these to cognitive development.

(2/2)

[hardmaru @hardmaru]

Im2Vec: Synthesizing Vector Graphics without Vector Supervision (also @CVPR 2021 Oral)

“Many challenges remain, but sketches and vector graphics data are a good testing ground for learning representations of object composition.”

https://t.co/Lmk2HYq1if
https://t.co/dn3YjmLe0r

[hardmaru @hardmaru]

On Training Sketch Recognizers for New Domains

They use a Red Alert-like 2D RTS game for sketch-based interaction, and show limitations of traditional deep networks for domain shifts, highlighting the importance of ecological valid datasets for training.

https://t.co/qfXM3MlHjo

[hardmaru @hardmaru]

Engineering Sketch Generation for Computer-Aided Design (Autodesk Research)

They look at 2 different generative models: CurveGen (think SVG primatives) and TurtleGen (think Turtle Graphics Logo language from the 1970s), for engineering sketch generation.

https://t.co/Rn5gsCoDjC

[hardmaru @hardmaru]

Sketch-QNet: A Quadruplet ConvNet for Color Sketch-Based Image Retrieval

Interesting work to tackle the color sketch-based image retrieval (CSBIR) problem, achieving new SOTA results. Authors are from a startup “Impresee” focused on sketch-based methods.

https://t.co/TRaNECS128

[hardmaru @hardmaru]

Compact and Effective Representations for Sketch-based Image Retrieval

They show that UMAP is a great tool for sketch-based image retrieval. I think at some point we should have sketch-based image search engines that work well.

https://t.co/4cGQbmHcnu

[Alma Negrete Shen (墨靈心) @almanegreteshen]

Esta semana aprendí algo: que si hago las presentaciones de la empresa como hago las charlas, ya me sale todo natural. Lo cuento como gran logro personal, y no se imaginan cuánto me costó llegar a este punto.

[Mauricio Palma Lizana @mpltw]

Pablo Torres, alumno del @dccuchile, presentando en el workshop SketchDL de la CVPR 2021, la conferencia de computer vision más grande del mundo. Trabajo conjunto con @jmsaavedrar de @impresee. Empresas chilenas y universidades colaborando en ciencia de nivel mundial.

[Mauricio Palma Lizana @mpltw]

Aníbal Fuentes de @impresee, presentando en el workshop SketchDL de la CVPR 2021, la conferencia científica más grande del mundo de computer vision. Trabajo conjunto con @jmsaavedrar. ¿Quién dice que no se puede hacer ciencia de nivel mundial en las empresas chilenas?

[Impresee @impresee]

Google will stop using 3rd-party tracking cookies on its Chrome browser!

At #Impresee we gather useful data for #eCommerce while respecting visitors' privacy. This change won't affect our analytics systems.

We're convinced this is great news. What do you think?

[DCCUChile @dccuchile]

Investigaciones de los estudiantes del #DCCUChile Pablo Torres y Andrés Baloian fueron aceptadas en workshops de la International Conference on Computer Vision (@CVPR). Ambos trabajos fueron guiados por el profesor part-time José M. Saavedra.

Noticia en: https://t.co/V78bPckDFx

[Jumpseller @Jumpseller]

El valor de las barras de búsquedas avanzadas es que juegan un rol de asesor de ventas personalizado para tus visitantes y lo mejor de todo es que te notifica sobre lo que están pidiendo tus visitantes y cómo lo están pidiendo. - @impresee
https://t.co/A10dro1xhj

[Mauricio Palma Lizana @mpltw]

Al aire! https://t.co/qSEs1GaJEf