51 citations · 68 across the 11 of their papers we have counts for
13 papers · 1 filter
Less than Few: Self-Shot Video Instance Segmentation
Pengwan Yang, Yuki M. Asano, Pascal Mettes +1
The goal of this paper is to bypass the need for labelled examples in few-shot video understanding at run time. While proven effective, in many practical video settings even labell…
Diagnosing Errors in Video Relation Detectors
Shuo Chen, Pascal Mettes, Cees G. M. Snoek
Video relation detection forms a new and challenging problem in computer vision, where subjects and objects need to be localized spatio-temporally and a predicate label needs to be…
Social Fabric: Tubelet Compositions for Video Relation Detection
Shuo Chen, Zenglin Shi, Pascal Mettes +1
This paper strives to classify and detect the relationship between object tubelets appearing within a video as a <subject-predicate-object> triplet. Where existing works treat obje…
Unsharp Mask Guided Filtering
Zenglin Shi, Yunlu Chen, Efstratios Gavves +2
The goal of this paper is guided image filtering, which emphasizes the importance of structure transfer during filtering by means of an additional guidance image. Where classical g…
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…
Localizing the Common Action Among a Few Videos
Pengwan Yang, Vincent Tao Hu, Pascal Mettes +1
This paper strives to localize the temporal extent of an action in a long untrimmed video. Where existing work leverages many examples with their start, their ending, and/or the cl…