32 citations · 32 across the 3 of their papers we have counts for
3 papers
Video BagNet: short temporal receptive fields increase robustness in long-term action recognition
Ombretta Strafforello, Xin Liu, Klamer Schutte +1
Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF). We argue that these models are not alway…
Are current long-term video understanding datasets long-term?
Ombretta Strafforello, Klamer Schutte, Jan van Gemert
Many real-world applications, from sport analysis to surveillance, benefit from automatic long-term action recognition. In the current deep learning paradigm for automatic action r…
The Functional Neural Process
Christos Louizos, Xiahan Shi, Klamer Schutte +1
We present a new family of exchangeable stochastic processes, the Functional Neural Processes (FNPs). FNPs model distributions over functions by learning a graph of dependencies on…