Dan Oneață


Picture of Dan Oneata
oneata

Hello and welcome to my web-page! My name is Dan and I'm a research scientist at the Politehnica University of Bucharest in the SpeeD lab. Previously, I have worked at Eloquentix tackling data science tasks. I have received my PhD in computer vision and machine learning from the Université Grenoble Alpes, where I was fortunate to work under the supervision of Dr. Cordelia Schmid and Dr. Jakob Verbeek. My research interests include general machine learning techniques and its applications to computer vision, speech, and natural language processing. Currently, I'm also interested in category theory and its applications.

You can find below some of my publications and presentations. The complete list of publications is available on my Google scholar profile.

Publications

Optical flow stabilization
Journal paperpaper · code
A Robust and Efficient Video Representation for Action Recognition
International Journal of Computer Vision, Springer Verlag, 2015, pp.1-20.
Heng Wang, Dan Oneață, Jakob Verbeek and Cordelia Schmid.
Spatio temporal proposals
Conference paperpaper · poster · code
Spatio-Temporal Object Detection Proposals
European Conference on Computer Vision, 2014.
Dan Oneață, Jérôme Revaud, Jakob Verbeek and Cordelia Schmid.
Approximate normalization of Fisher vectors
Conference paperpaper
Efficient Action Localization with Approximately Normalized Fisher Vectors
IEEE Conference on Computer Vision and Pattern Recognition, 2014.
Dan Oneață, Jakob Verbeek and Cordelia Schmid.
poster
Action recognition results
Conference paperpaper · poster · code
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
IEEE International Conference on Computer Vision, 2013.
Dan Oneață, Jakob Verbeek and Cordelia Schmid.

Theses

University of Grenoble logo
Doctoral thesisthesis
Robust and Efficient Models for Action Recognition and Localization
Université Grenoble Alpes, 2015.
Dan Oneață
University of Edinburgh logo
Master's thesisthesis · slides
Fast Low-Rank Metric Learning
University of Edinburgh, 2011.
Dan Oneață
Politehnica University of Bucharest logo
Bachelor's thesis (in Romanian)thesis
Detecția de fețe utilizând metoda Viola-Jones
"Politechnica" University of Bucharest, 2010.
Dan Oneață

Presentations

Bucharest CV logo
Paper presentationslides
Deep Image Prior
Bucharest CV reading group · Bucharest, Romania · February, 2018
Bucharest FP logo
Coding dojoslides · code
A simple Sudoku solver in Haskell
Bucharest FP meet-up · Bucharest, Romania · June, 2017
SpeeD lab logo
Short course ◇ lectures 1 · 2 · 3 · 4
An Introduction to Machine Learning
Course at SpeeD lab · Bucharest, Romania · June, 2016
Eloquentix logo
Tutorialslides
An Introduction to Machine Learning
Eloquentix annual meeting · Brașov, Romania · October, 2015
Meet up logo
Tutorialslides
Keynote format
A Tutorial on Action Recognition in Video
Grenoble Data Science meet-up · Grenoble, France · March, 2015
Thumos'14 logo
Talk ◇ slides 1 · 2
LEAR–INRIA Submission at Thumos’14
THUMOS'14 workshop · Zürich, Switzerland · September, 2014
NIST logo
Talkslides
AXES @ TRECVid MED 2013
TRECVid'13 workshop · Gaithersburg, USA · November, 2013
Graphical models
Paper presentationslides
A Thousand Frames in Just a Few Words
LEAR–XRCE reading group · Grenoble, France · August, 2013
Spectral learning
Paper presentationslides · extra
A Spectral Algorithm for Learning Hidden Markov Models
LEAR–XRCE reading group · Grenoble, France · March, 2013
Stochastic gradient with Langevin dynamics
Paper presentationslides
Posterior Sampling with Stochastic Gradients
LEAR reading group · Grenoble, France · July, 2012
Latent temporal model
Paper presentationslides
Learning Latent Temporal Structure for Complex Event Detection
LEAR reading group · Grenoble, France · August, 2012

Artefacts

Writinglink
Scratchpad
being a collection of notes.
Code gistlink
Fisher vectors
being a minimal Python implementation of the Fisher vectors method based on numpy and scikit-learn. For an application of Fisher vectors for action recognition in videos, check out the fv4a repository.
Code gistlink
Sudoku
being an exploration into applicative functors and a solution to a puzzle by Conor McBride. The snippet was highlighted as an example of functor-oriented programming. For more exercises on the functorial kit checkout this other exercise from Conor McBride and Jeremy Gibbons's paper, Calculating Functional Programs.
Challengelink
Diacritics restoration
being a machine learning challenge I set up for the second-year students. The goal was to add the missing diacritics marks for a given text in Romanian.
Codelink
Haskell playground
being the place where I go down the rabbit hole into the Haskell world and I toy with free monoids, comondas, anamorphisms and others.
Cheatsheetlink
Algebra of programming
being an incomplete cheatsheet of equational properties in category theory to ease my way through the Algebra of Programming book.