8 citations · 14 across the 4 of their papers we have counts for
5 papers
Main Product Detection with Graph Networks for Fashion
Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa +2
Computer vision has established a foothold in the online fashion retail industry. Main product detection is a crucial step of vision-based fashion product feed parsing pipelines, f…
Visual Transformers with Primal Object Queries for Multi-Label Image Classification
Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
Multi-label image classification is about predicting a set of class labels that can be considered as orderless sequential data. Transformers process the sequential data as a whole,…
Orderless Recurrent Models for Multi-label Classification
Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa +2
Recurrent neural networks (RNN) are popular for many computer vision tasks, including multi-label classification. Since RNNs produce sequential outputs, labels need to be ordered f…
Learning Metrics from Teachers: Compact Networks for Image Embedding
Lu Yu, Vacit Oguz Yazici, Xialei Liu +3
Metric learning networks are used to compute image embeddings, which are widely used in many applications such as image retrieval and face recognition. In this paper, we propose to…
Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks
Guillem Cucurull, Pau Rodríguez, V. Oguz Yazici +3
Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of 2.3 billion users about a vast spectrum of topi…