activity
20202022
most citedCitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials

51 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202251 cited

CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials

Maryam Hosseini, Fabio Miranda, Jianzhe Lin +1

While designing sustainable and resilient urban built environment is increasingly promoted around the world, significant data gaps have made research on pressing sustainability iss…

cs.LG20222 cited

Topological Representations of Local Explanations

Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3

Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…

cs.CV20213 cited

ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN

Guande Wu, Jianzhe Lin, Claudio T. Silva

Video summarization aims to simplify large scale video browsing by generating concise, short summaries that diver from but well represent the original video. Due to the scarcity of…

cs.HC202012 cited

Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together

Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato +2

With the increasing sophistication of machine learning models, there are growing trends of developing model explanation techniques that focus on only one instance (local explanatio…

cs.LG20205 cited

Towards Ground Truth Explainability on Tabular Data

Brian Barr, Ke Xu, Claudio Silva +4

In data science, there is a long history of using synthetic data for method development, feature selection and feature engineering. Our current interest in synthetic data comes fro…