12 citations · 28 across the 7 of their papers we have counts for
7 papers
Heterogeneous graph neural networks for species distribution modeling
Lauren Harrell, Christine Kaeser-Chen, Burcu Karagol Ayan +7
Species distribution models (SDMs) are necessary for measuring and predicting occurrences and habitat suitability of species and their relationship with environmental factors. We i…
Collaborating with language models for embodied reasoning
Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino +4
Reasoning in a complex and ambiguous environment is a key goal for Reinforcement Learning (RL) agents. While some sophisticated RL agents can successfully solve difficult tasks, th…
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…
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…
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…
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…
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…