Sound Event Detection (SED) aims to predict the temporal boundaries of a...
Existing action recognition methods are typically actor-specific due to ...
We propose a new formulation of temporal action detection (TAD) with
den...
Garment pattern design aims to convert a 3D garment to the corresponding...
Existing Temporal Action Detection (TAD) methods typically take a
pre-pr...
Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...
Large-scale weakly supervised product retrieval is a practically useful ...
Existing temporal action detection (TAD) methods rely on large training ...
Existing temporal action detection (TAD) methods rely on a large number ...
Existing temporal action detection (TAD) methods rely on generating an
o...
In this paper we present a novel self-supervised method to anticipate th...
Existing temporal action localization (TAL) works rely on a large number...
Detecting text located on the torsos of marathon runners and sports play...
Salient object detection is a prevalent computer vision task that has
ap...
Facial micro-expressions are sudden involuntary minute muscle movements ...
Identifying crime for forensic investigating teams when crimes involve p...
Regional language extraction from a natural scene image is always a
chal...