Adversarial detection aims to determine whether a given sample is an
adv...
Graph neural networks (GNNs) for temporal graphs have recently attracted...
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face ...
Weakly supervised action localization is a challenging task with extensi...
Rain is a common natural phenomenon. Taking images in the rain however o...
Images captured in snowy days suffer from noticeable degradation of scen...
Active learning generally involves querying the most representative samp...
In this paper, we present a novel deep metric learning method to tackle ...
The point process is a solid framework to model sequential data, such as...
Data similarity is a key concept in many data-driven applications. Many
...
Action recognition in videos has attracted a lot of attention in the pas...
In this paper, we study learning generalized driving style representatio...
Characterizing driving styles of human drivers using vehicle sensor data...