119 citations · 221 across the 9 of their papers we have counts for
9 papers
Consistency Regularization for Domain Adaptation
Kian Boon Koh, Basura Fernando
Collection of real world annotations for training semantic segmentation models is an expensive process. Unsupervised domain adaptation (UDA) tries to solve this problem by studying…
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach
Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando +2
We propose LocFormer, a Transformer-based model for video grounding which operates at a constant memory footprint regardless of the video length, i.e. number of frames. LocFormer i…
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Basura Fernando +3
Action recognition and anticipation are key to the success of many computer vision applications. Existing methods can roughly be grouped into those that extract global, context-awa…
Generalized BackPropagation, Étude De Cas: Orthogonality
Mehrtash Harandi, Basura Fernando
This paper introduces an extension of the backpropagation algorithm that enables us to have layers with constrained weights in a deep network. In particular, we make use of the Rie…
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…
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…