activity
20122026
most citedProjected Subgradient Methods for Learning Sparse Gaussians

129 citations · 976 across the 65 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cs.CV2016

Guided Open Vocabulary Image Captioning with Constrained Beam Search

Peter Anderson, Basura Fernando, Mark Johnson +1

Existing image captioning models do not generalize well to out-of-domain images containing novel scenes or objects. This limitation severely hinders the use of these models in real…

cs.CV2016★ 1 cited

Unsupervised Human Action Detection by Action Matching

Basura Fernando, Sareh Shirazi, Stephen Gould

We propose a new task of unsupervised action detection by action matching. Given two long videos, the objective is to temporally detect all pairs of matching video segments. A pair…

cs.CV2016★ 29 cited

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann +3

Pixel-level annotations are expensive and time consuming to obtain. Hence, weak supervision using only image tags could have a significant impact in semantic segmentation. Recently…

cs.CV2016★ 1 cited

SPICE: Semantic Propositional Image Caption Evaluation

Peter Anderson, Basura Fernando, Mark Johnson +1

There is considerable interest in the task of automatically generating image captions. However, evaluation is challenging. Existing automatic evaluation metrics are primarily sensi…

cs.CV2016★ 119 cited

On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

Stephen Gould, Basura Fernando, Anoop Cherian +3

Some recent works in machine learning and computer vision involve the solution of a bi-level optimization problem. Here the solution of a parameterized lower-level problem binds va…