841 citations · 7.7k across the 158 of their papers we have counts for
7 papers · 1 filter
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Shizhan Zhu, Sanja Fidler, Raquel Urtasun +2
We present a novel and effective approach for generating new clothing on a wearer through generative adversarial learning. Given an input image of a person and a sentence describin…
Situation Recognition with Graph Neural Networks
Ruiyu Li, Makarand Tapaswi, Renjie Liao +3
We address the problem of recognizing situations in images. Given an image, the task is to predict the most salient verb (action), and fill its semantic roles such as who is perfor…
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N. Gomez, Mengye Ren, Raquel Urtasun +1
Deep residual networks (ResNets) have significantly pushed forward the state-of-the-art on image classification, increasing in performance as networks grow both deeper and wider. H…
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou, Richard Zemel, Raquel Urtasun
Few-shot learning refers to understanding new concepts from only a few examples. We propose an information retrieval-inspired approach for this problem that is motivated by the inc…
Annotating Object Instances with a Polygon-RNN
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun +1
We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a pol…
Towards Diverse and Natural Image Descriptions via a Conditional GAN
Bo Dai, Sanja Fidler, Raquel Urtasun +1
Despite the substantial progress in recent years, the image captioning techniques are still far from being perfect.Sentences produced by existing methods, e.g. those based on RNNs,…
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo, Yujia Li, Raquel Urtasun +1
We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output must respond t…