In this paper, we propose a model that can attack segmentation models wi...
We propose to predict the future trajectories of observed agents (e.g.,
...
Visible-infrared person re-identification (VI-ReID) is a challenging
cro...
Recognizing abnormal events such as traffic violations and accidents in
...
Most work on temporal action detection is formulated in an offline manne...
Predicting the future location of vehicles is essential for safety-criti...
In a world in which cameras are becoming more and more pervasive, scenes...
Deep learning methods have surpassed the performance of traditional
tech...
A major emerging challenge is how to protect people's privacy as cameras...
Ground-penetrating radar on planes and satellites now makes it practical...
We investigate Generative Adversarial Networks (GANs) to model one parti...
We propose a novel convolutional neural network architecture for estimat...
Lifelogging cameras capture everyday life from a first-person perspectiv...