Deep learning is overwhelmingly dominant in the field of computer vision...
Neural image coding represents now the state-of-the-art image compressio...
Lossless image compression is an important technique for image storage a...
In this paper we present an end-to-end meta-learned system for image
com...
One of the core components of conventional (i.e., non-learned) video cod...
Most conventional camera calibration algorithms assume that the imaging
...
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...
We present the Video Ladder Network (VLN) for efficiently generating fut...