Umar Riaz Muhammad

2 accepted papers

2019

Goal-Driven Sequential Data Abstraction

Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

ICCV 2019poster

Automatic data abstraction is an important capability for both benchmarking machine intelligence and supporting summarization applications. In the former one asks whether a machine can `understand' enough about the meaning of input data to produce a meaningful but more compact abstraction. In the la…

Cited by 25 PDF ↗Scholar ↗

2018

Learning Deep Sketch Abstraction

Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

CVPR 2018poster

Human free-hand sketches have been studied in various contexts including sketch recognition, synthesis and fine-grained sketch-based image retrieval (FG-SBIR). A fundamental challenge for sketch analysis is to deal with drastically different human drawing styles, particularly in terms of abstraction…

Cited by 117 Source ↗PDF ↗Scholar ↗