6 citations · 12 across the 3 of their papers we have counts for
4 papers
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
Eric Dodds, Huy Nguyen, Simao Herdade +3
In this paper, we propose learning an embedding function for content-based image retrieval within the e-commerce domain using the triplet loss and an online sampling method that co…
VISER: Visual Self-Regularization
Hamid Izadinia, Pierre Garrigues
In this work, we propose the use of large set of unlabeled images as a source of regularization data for learning robust visual representation. Given a visual model trained by a la…
Tag Prediction at Flickr: a View from the Darkroom
Kofi Boakye, Sachin Farfade, Hamid Izadinia +2
Automated photo tagging has established itself as one of the most compelling applications of deep learning. While deep convolutional neural networks have repeatedly demonstrated to…
Analog Sparse Approximation with Applications to Compressed Sensing
Adam S. Charles, Pierre Garrigues, Christopher J. Rozell
Recent research has shown that performance in signal processing tasks can often be significantly improved by using signal models based on sparse representations, where a signal is…