325 citations · 720 across the 24 of their papers we have counts for
4 papers · 1 filter
NUTA: Non-uniform Temporal Aggregation for Action Recognition
Xinyu Li, Chunhui Liu, Bing Shuai +3
In the world of action recognition research, one primary focus has been on how to construct and train networks to model the spatial-temporal volume of an input video. These methods…
Directional Temporal Modeling for Action Recognition
Xinyu Li, Bing Shuai, Joseph Tighe
Many current activity recognition models use 3D convolutional neural networks (e.g. I3D, I3D-NL) to generate local spatial-temporal features. However, such features do not encode c…
Multi-Object Tracking with Siamese Track-RCNN
Bing Shuai, Andrew G. Berneshawi, Davide Modolo +1
Multi-object tracking systems often consist of a combination of a detector, a short term linker, a re-identification feature extractor and a solver that takes the output from these…
Understanding the impact of mistakes on background regions in crowd counting
Davide Modolo, Bing Shuai, Rahul Rama Varior +1
Every crowd counting researcher has likely observed their model output wrong positive predictions on image regions not containing any person. But how often do these mistakes happen…