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20152026
most citedMicrosoft COCO Captions: Data Collection and Evaluation Server

1.6k citations · 2k across the 14 of their papers we have counts for

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cs.CV202021 cited

Creative Sketch Generation

Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick +1

Sketching or doodling is a popular creative activity that people engage in. However, most existing work in automatic sketch understanding or generation has focused on sketches that…

cs.CV2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Jure Zbontar, Florian Knoll, Anuroop Sriram +24

Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the potential to reduce medical costs, minimize stress to patients and make MRI possible in applicati…

cs.CV2017

Inferring and Executing Programs for Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten +4

Existing methods for visual reasoning attempt to directly map inputs to outputs using black-box architectures without explicitly modeling the underlying reasoning processes. As a r…

cs.CV2016

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick +2

We conduct large-scale studies on `human attention' in Visual Question Answering (VQA) to understand where humans choose to look to answer questions about images. We design and tes…

cs.CV2015162 cited

Exploring Nearest Neighbor Approaches for Image Captioning

Jacob Devlin, Saurabh Gupta, Ross Girshick +2

We explore a variety of nearest neighbor baseline approaches for image captioning. These approaches find a set of nearest neighbor images in the training set from which a caption m…

cs.CV20151.6k cited

Microsoft COCO Captions: Data Collection and Evaluation Server

Xinlei Chen, Hao Fang, Tsung-Yi Lin +4

In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 33…