Video action understanding
MS Hutchinson, VN Gadepally - IEEE Access, 2021 - ieeexplore.ieee.org
Many believe that the successes of deep learning on image understanding problems can be
replicated in the realm of video understanding. However, due to the scale and temporal …
replicated in the realm of video understanding. However, due to the scale and temporal …
Why can't i dance in the mall? learning to mitigate scene bias in action recognition
Human activities often occur in specific scene contexts, eg, playing basketball on a
basketball court. Training a model using existing video datasets thus inevitably captures and …
basketball court. Training a model using existing video datasets thus inevitably captures and …
[PDF][PDF] Video action understanding: A tutorial
M Hutchinson, V Gadepally - ar** of Drosophila with a 2D–3D hybrid CNN framework
Behavioural phenoty** of drosophila is an important means in biological and medical
research to identify the genetic, pathologic, or psychological impact on animal behavior …
research to identify the genetic, pathologic, or psychological impact on animal behavior …
Poseg: Pose-aware refinement network for human instance segmentation
Human instance segmentation is a core problem for human-centric scene understanding
and segmenting human instances poses a unique challenge to vision systems due to large …
and segmenting human instances poses a unique challenge to vision systems due to large …
[書籍][B] Spatio-Temporal Action Instance Segmentation and Localisation
Current state-of-the-art human action recognition is focused on the classification of
temporally trimmed videos in which only one action occurs per frame. In this work we …
temporally trimmed videos in which only one action occurs per frame. In this work we …