most citedImproving Image Classification with Location Context

4 citations · 7 across the 2 of their papers we have counts for

collaborators

6 papers

q-bio.NC2016

Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions

Marius Cătălin Iordan, Armand Joulin, Diane M. Beck +1

Inter-subject registration of cortical areas is necessary in functional imaging (fMRI) studies for making inferences about equivalent brain function across a population. However, m…

cs.CV2016

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Justin Johnson, Alexandre Alahi, Li Fei-Fei

We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neu…

cs.CV2016

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth +9

Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering. Cognition is…

cs.HC2016

Embracing Error to Enable Rapid Crowdsourcing

Ranjay Krishna, Kenji Hata, Stephanie Chen +4

Microtask crowdsourcing has enabled dataset advances in social science and machine learning, but existing crowdsourcing schemes are too expensive to scale up with the expanding vol…

cs.CV20154 cited

Improving Image Classification with Location Context

Kevin Tang, Manohar Paluri, Li Fei-Fei +2

With the widespread availability of cellphones and cameras that have GPS capabilities, it is common for images being uploaded to the Internet today to have GPS coordinates associat…

cs.CV20153 cited

Learning Temporal Embeddings for Complex Video Analysis

Vignesh Ramanathan, Kevin Tang, Greg Mori +1

In this paper, we propose to learn temporal embeddings of video frames for complex video analysis. Large quantities of unlabeled video data can be easily obtained from the Internet…