5 papers
Learning to Drive Using Sparse Imitation Reinforcement Learning
Yuci Han, Alper Yilmaz
In this paper, we propose Sparse Imitation Reinforcement Learning (SIRL), a hybrid end-to-end control policy that combines the sparse expert driving knowledge with reinforcement le…
DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform
Jianli Wei, Guanyu Xu, Alper Yilmaz
Geopositioning and tracking a moving boat at sea is a very challenging problem, requiring boat detection, matching and estimating its GPS location from imagery with no common featu…
UAVid: A Semantic Segmentation Dataset for UAV Imagery
Ye Lyu, George Vosselman, Guisong Xia +2
Semantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for many fields, such as robotics and autonom…
MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description
Oliver Nina, Washington Garcia, Scott Clouse +1
Learning visual feature representations for video analysis is a daunting task that requires a large amount of training samples and a proper generalization framework. Many of the cu…
4d isip: 4d implicit surface interest point detection
Shirui Li, Alper Yilmaz, Changlin Xiao +1
In this paper, we propose a new method to detect 4D spatiotemporal interest points though an implicit surface, we refer to as the 4D-ISIP. We use a 3D volume which has a truncated…