Search Results for author: Farnoosh Ghadiri

Found 4 papers, 1 papers with code

Adversarial Mixup Resynthesizers

no code implementations ICLR Workshop DeepGenStruct 2019 Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R Devon Hjelm, Christopher Pal

In this paper, we explore new approaches to combining information encoded within the learned representations of autoencoders.

On Adversarial Mixup Resynthesis

1 code implementation NeurIPS 2019 Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Christopher Pal

In this paper, we explore new approaches to combining information encoded within the learned representations of auto-encoders.

Resynthesis

From Superpixel to Human Shape Modelling for Carried Object Detection

no code implementations10 Jan 2018 Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau

We present an approach to detect carried objects from a single video frame with a novel method that incorporates features from multiple scales.

Frame Object Detection +1

An adaptive thresholding approach for automatic optic disk segmentation

no code implementations14 Oct 2017 Farnoosh Ghadiri, Robert Bergevin, Masoud Shafiee

The optic disk is correctly detected in 98% of the images with the mean overlap of 36. 32% in the KHATAM database.

Cannot find the paper you are looking for? You can Submit a new open access paper.