activity
20142022
most citedDeep Photo Style Transfer

93 citations · 420 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.HC2020★ 1 cited

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

Mitchell J. P. van Zuijlen, Hubert Lin, Kavita Bala +2

A painter is free to modify how components of a natural scene are depicted, which can lead to a perceptually convincing image of the distal world. This signals a major difference b…

cs.CV2020

Discovering Underground Maps from Fashion

Utkarsh Mall, Kavita Bala, Tamara Berg +1

The fashion sense -- meaning the clothing styles people wear -- in a geographical region can reveal information about that region. For example, it can reflect the kind of activitie…

cs.CV2020

Insights From A Large-Scale Database of Material Depictions In Paintings

Hubert Lin, Mitchell Van Zuijlen, Maarten W. A. Wijntjes +2

Deep learning has paved the way for strong recognition systems which are often both trained on and applied to natural images. In this paper, we examine the give-and-take relationsh…

cs.RO2020

DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds

Yutao Han, Hubert Lin, Jacopo Banfi +2

Planning in unstructured environments is challenging -- it relies on sensing, perception, scene reconstruction, and reasoning about various uncertainties. We propose DeepSemanticHP…

cs.CV2020★ 4 cited

Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition

Hubert Lin, Paul Upchurch, Kavita Bala

Image datasets with high-quality pixel-level annotations are valuable for semantic segmentation: labelling every pixel in an image ensures that rare classes and small objects are a…