Neural image coding represents now the state-of-the-art image compressio...
Lossless image compression is an important technique for image storage a...
For graphical user interface (UI) design, it is important to understand ...
In this paper we present an end-to-end meta-learned system for image
com...
Automatic captioning of images is a task that combines the challenges of...
One of the core components of conventional (i.e., non-learned) video cod...
Recent advances in deep learning have pushed the performances of visual
...
This paper presents a conceptually simple and effective Deep Audio-Visua...
PeyeDF is a Portable Document Format (PDF) reader with eye tracking supp...
This paper addresses the problem of determining dense pixel corresponden...
This paper digs deeper into factors that influence egocentric gaze. Inst...
Recently, data-driven deep saliency models have achieved high performanc...
In this work, we present a novel multi-modal dataset consisting of eye
m...
In this paper we address the problem of establishing correspondences bet...
In this review, we examine the recent progress in saliency prediction an...
This paper revisits visual saliency prediction by evaluating the recent
...
To bridge the gap between humans and machines in image understanding and...
This manuscript introduces the problem of prominent object detection and...
This paper revisits recognition of natural image pleasantness by employi...
This paper presents a novel fixation prediction and saliency modeling
fr...