most citedBuilding Damage Detection in Satellite Imagery Using Convolutional Neural Networks

116 citations · 175 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202027 cited

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques

Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn +8

To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which in…

cs.CL202032 cited

Schema-Guided Dialogue State Tracking Task at DSTC8

Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara +2

This paper gives an overview of the Schema-Guided Dialogue State Tracking task of the 8th Dialogue System Technology Challenge. The goal of this task is to develop dialogue state t…

cs.CV2019116 cited

Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks

Joseph Z. Xu, Wenhan Lu, Zebo Li +2

In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effect…

cs.CL2019

Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara +2

Virtual assistants such as Google Assistant, Alexa and Siri provide a conversational interface to a large number of services and APIs spanning multiple domains. Such systems need t…

cs.LG2019

Neural Input Search for Large Scale Recommendation Models

Manas R. Joglekar, Cong Li, Jay K. Adams +2

Recommendation problems with large numbers of discrete items, such as products, webpages, or videos, are ubiquitous in the technology industry. Deep neural networks are being incre…