6 citations · 8 across the 7 of their papers we have counts for
8 papers · 1 filter
Query by Activity Video in the Wild
Tao Hu, William Thong, Pascal Mettes +1
This paper focuses on activity retrieval from a video query in an imbalanced scenario. In current query-by-activity-video literature, a common assumption is that all activities hav…
Content-Diverse Comparisons improve IQA
William Thong, Jose Costa Pereira, Sarah Parisot +2
Image quality assessment (IQA) forms a natural and often straightforward undertaking for humans, yet effective automation of the task remains highly challenging. Recent metrics fro…
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias
William Thong, Cees G. M. Snoek
This paper strives to address image classifier bias, with a focus on both feature and label embedding spaces. Previous works have shown that spurious correlations from protected at…
Object Priors for Classifying and Localizing Unseen Actions
Pascal Mettes, William Thong, Cees G. M. Snoek
This work strives for the classification and localization of human actions in videos, without the need for any labeled video training examples. Where existing work relies on transf…
Bias-Awareness for Zero-Shot Learning the Seen and Unseen
William Thong, Cees G. M. Snoek
Generalized zero-shot learning recognizes inputs from both seen and unseen classes. Yet, existing methods tend to be biased towards the classes seen during training. In this paper,…
Open Cross-Domain Visual Search
William Thong, Pascal Mettes, Cees G. M. Snoek
This paper addresses cross-domain visual search, where visual queries retrieve category samples from a different domain. For example, we may want to sketch an airplane and retrieve…