49 citations · 128 across the 29 of their papers we have counts for
3 papers · 1 filter
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
Matthew Kowal, Mennatullah Siam, Md Amirul Islam +3
There is limited understanding of the information captured by deep spatiotemporal models in their intermediate representations. For example, while evidence suggests that action rec…
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
Matthew Kowal, Mennatullah Siam, Md Amirul Islam +3
Deep spatiotemporal models are used in a variety of computer vision tasks, such as action recognition and video object segmentation. Currently, there is a limited understanding of…
Temporal Transductive Inference for Few-Shot Video Object Segmentation
Mennatullah Siam, Konstantinos G. Derpanis, Richard P. Wildes
Few-shot video object segmentation (FS-VOS) aims at segmenting video frames using a few labelled examples of classes not seen during initial training. In this paper, we present a s…