PM

Pascal Mettes

3 records found

Authored

Featureless

Bypassing feature extraction in action categorization

This method introduces an efficient manner of learning action categories without the need of feature estimation. The approach starts from low-level values, in a similar style to the successful CNN methods. However, rather than extracting general image features, we learn to predic ...

Spot On

Action Localization from Pointly-Supervised Proposals

We strive for spatio-temporal localization of actions in videos. The state-of-the-art relies on action proposals at test time and selects the best one with a classifier trained on carefully annotated box annotations. Annotating action boxes in video is cumbersome, tedious, and er ...

No spare parts

Sharing part detectors for image categorization

This work aims for image categorization by learning a representation of discriminative parts. Different from most existing part-based methods, we argue that parts are naturally shared between image categories and should be modeled as such. We motivate our approach with a quantita ...