In this paper, we propose LEURN: a neural network architecture that lear...
In this manuscript, we show that any neural network having piece-wise li...
In this paper, we propose two contributions to neural network based
deno...
In this manuscript we propose two objective terms for neural image
compr...
In this paper, we present a novel approach for fine-tuning a decoder-sid...
In this paper we apply a compressibility loss that enables learning high...
In this work, we propose an end-to-end block-based auto-encoder system f...
Discrete correlation filter (DCF) based trackers have shown considerable...
Clustering is essential to many tasks in pattern recognition and compute...
For a graph representation of a dataset, a straightforward normality mea...
Computer vision algorithms with pixel-wise labeling tasks, such as seman...
In this paper, we provide a novel dataset designed for camera invariant ...
In this paper, we model the salient object detection problem under a
pro...