research
∙
12/16/2021
Adaptation and Attention for Neural Video Coding
Neural image coding represents now the state-of-the-art image compressio...
share
research
∙
08/24/2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Lossless image compression is an important technique for image storage a...
research
∙
01/22/2021
Understanding Visual Saliency in Mobile User Interfaces
For graphical user interface (UI) design, it is important to understand ...
research
∙
07/31/2020
L^2C – Learning to Learn to Compress
In this paper we present an end-to-end meta-learned system for image com...
research
∙
04/29/2020
Image Captioning through Image Transformer
Automatic captioning of images is a task that combines the challenges of...
research
∙
04/20/2020
End-to-End Learning for Video Frame Compression with Self-Attention
One of the core components of conventional (i.e., non-learned) video cod...
research
∙
07/04/2019
Deep Saliency Models : The Quest For The Loss Function
Recent advances in deep learning have pushed the performances of visual ...
research
∙
05/25/2019
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
This paper presents a conceptually simple and effective Deep Audio-Visua...
research
∙
04/27/2019
PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research
PeyeDF is a Portable Document Format (PDF) reader with eye tracking supp...
research
∙
04/15/2019
Geometric Image Correspondence Verification by Dense Pixel Matching
This paper addresses the problem of determining dense pixel corresponden...
research
∙
04/12/2019
Digging Deeper into Egocentric Gaze Prediction
This paper digs deeper into factors that influence egocentric gaze. Inst...
research
∙
03/06/2019
Understanding and Visualizing Deep Visual Saliency Models
Recently, data-driven deep saliency models have achieved high performanc...
research
∙
03/06/2019
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis
In this work, we present a novel multi-modal dataset consisting of eye m...
research
∙
01/24/2019
Semantic Matching by Weakly Supervised 2D Point Set Registration
In this paper we address the problem of establishing correspondences bet...
research
∙
10/11/2018
Bottom-up Attention, Models of
In this review, we examine the recent progress in saliency prediction an...
research
∙
05/30/2017
Saliency Revisited: Analysis of Mouse Movements versus Fixations
This paper revisits visual saliency prediction by evaluating the recent ...
research
∙
04/24/2017
Paying Attention to Descriptions Generated by Image Captioning Models
To bridge the gap between humans and machines in image understanding and...
research
∙
04/24/2017
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition
This manuscript introduces the problem of prominent object detection and...
research
∙
04/07/2017
Investigating Natural Image Pleasantness Recognition using Deep Features and Eye Tracking for Loosely Controlled Human-computer Interaction
This paper revisits recognition of natural image pleasantness by employi...
research
∙
10/20/2016
