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Dynamic Visual Attention: Motion Direction versus Motion Magnitude

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Modeling Object Dissimilarity for Deep Saliency Prediction

Sabine Süsstrunk, Mathieu Salzmann, Tong Zhang, Bahar Aydemir, Seungryong Kim, Deblina Bhattacharjee

Saliency prediction has made great strides over the past two decades, with current techniques modeling low-level information, such as color, intensity and size contrasts, and high-level ones, such as attention and gaze direction for entire objects. Despit ...

2022

Long-lasting feature integration

In the classic model of vision, processing is local, feedforward and hierarchical. The first stages of the visual system are retinotopic, i.e., neighboring points in the outside world are mapped onto neighboring photoreceptors of the retina and this is pre ...

EPFL2020

Eye-tracking and artificial intelligence to enhance motivation and learning

Pierre Dillenbourg, Kshitij Sharma

The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture user ...

SPRINGER HEIDELBERG2020

Towards Modelling of Visual Saliency in Point Clouds for Immersive Applications

Touradj Ebrahimi, Evangelos Alexiou, Peisen Xu

Modelling human visual attention is of great importance in the field of computer vision and has been widely explored for 3D imaging. Yet, in the absence of ground truth data, it is unclear whether such predictions are in alignment with the actual human vie ...

2019

Events-to-Video: Bringing Modern Computer Vision to Event Cameras

Davide Scaramuzza

Event cameras are novel sensors that report brightness changes in the form of asynchronous “events” instead of intensity frames. They have significant advantages over conventional cameras: high temporal resolution, high dynamic range, and no motion blur. S ...

2019

The role of optic flow pooling in insect flight control in cluttered environments

Dario Floreano, Julien Jean Denis Nicolas Lecoeur, Emily Baird

Flight through cluttered environments, such as forests, poses great challenges for animals and machines alike because even small changes in flight path may lead to collisions with nearby obstacles. When flying along narrow corridors, insects use the magnit ...

2019

A simple method to obtain visual attention data in head mounted virtual reality

Touradj Ebrahimi, Evgeniy Upenik

Automatic prediction of salient regions in images is a well developed topic in the field of computer vision. Yet, virtual reality omnidirectional visual content brings new challenges to this topic, due to a different representation of visual information an ...

IEEE2017

Physics-based Reconstruction and Animation of Humans

Alexandru Eugen Ichim

Creating digital representations of humans is of utmost importance for applications ranging from entertainment (video games, movies) to human-computer interaction and even psychiatrical treatments. What makes building credible digital doubles difficult is ...

EPFL2017

Realtime Face Tracking and Animation

Sofien Bouaziz

Capturing and processing human geometry, appearance, and motion is at the core of computer graphics, computer vision, and human-computer interaction. The high complexity of human geometry and motion dynamics, and the high sensitivity of the human visual sy ...

EPFL2015

Attention Driven Foveated Video Quality Assessment

Touradj Ebrahimi

Contrast sensitivity of the human visual system to visual stimuli can be significantly affected by several mechanisms, e. g., vision foveation and attention. Existing studies on foveation based video quality assessment only take into account static foveati ...

Ieee-Inst Electrical Electronics Engineers Inc2014