Object understanding in egocentric visual data is arguably a fundamental...
Object detection has been expanded from a limited number of categories t...
Continual Learning, also known as Lifelong or Incremental Learning, has
...
We propose YolactEdge, the first competitive instance segmentation appro...
Human activity recognition (HAR) using wearable Inertial Measurement Uni...
Aliasing refers to the phenomenon that high frequency signals degenerate...
Sensor-based human activity recognition (HAR) is now a research hotspot ...
We present Audiovisual SlowFast Networks, an architecture for integrated...
We present a simple, fully-convolutional model for real-time (>30 fps)
i...
In this paper, we propose Spatio-TEmporal Progressive (STEP) action
dete...
We present a simple, fully-convolutional model for real-time instance
se...
We introduce Spatial-Temporal Memory Networks (STMN) for video object
de...
Content popularity prediction has been extensively studied due to its
im...
We propose a weakly-supervised approach that takes image-sentence pairs ...
The status quo approach to training object detectors requires expensive
...