activity
20172022
most citedThe iMet Collection 2019 Challenge Dataset

12 citations · 15 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Learning to Navigate Wikipedia by Taking Random Walks

Manzil Zaheer, Kenneth Marino, Will Grathwohl +7

A fundamental ability of an intelligent web-based agent is seeking out and acquiring new information. Internet search engines reliably find the correct vicinity but the top results…

cs.CL2019

Neural Naturalist: Generating Fine-Grained Image Comparisons

Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma +1

We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds. The language collected is highly detailed, while rema…

cs.CV201912 cited

The iMet Collection 2019 Challenge Dataset

Chenyang Zhang, Christine Kaeser-Chen, Grace Vesom +3

Existing computer vision technologies in artwork recognition focus mainly on instance retrieval or coarse-grained attribute classification. In this work, we present a novel dataset…

cs.CV2018

Egocentric 6-DoF Tracking of Small Handheld Objects

Rohit Pandey, Pavel Pidlypenskyi, Shuoran Yang +1

Virtual and augmented reality technologies have seen significant growth in the past few years. A key component of such systems is the ability to track the pose of head mounted disp…

cs.CV20172 cited

Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays

Rohit Pandey, Marie White, Pavel Pidlypenskyi +2

Mobile virtual reality (VR) head mounted displays (HMD) have become popular among consumers in recent years. In this work, we demonstrate real-time egocentric hand gesture detectio…