Concept

Visual temporal attention

Publications associées (128)

Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection

The extremely high recognition accuracy achieved by modern, convolutional neural network (CNN) based face recognition (FR) systems has contributed significantly to the adoption of such systems in a variety of applications, from mundane activities like unlo ...

EPFL2020

Capsule networks as recurrent models of grouping and segmentation

Michael Herzog, Adrien Christophe Doerig, Bilge Sayim, Mauro Manassi, Lynn Schmittwilken

Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, we pre ...

2020

Saliency Driven Perceptual Quality Metric for Omnidirectional Visual Content

Touradj Ebrahimi, Evgeniy Upenik

The problem of objectively measuring perceptual quality of omnidirectional visual content arises in many immersive imaging applications and particularly in compression. The interactive nature of this type of content limits the performance of earlier method ...

IEEE2019

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

What attracts our visual attention? A study on saliency mapping for architectural daylit scenes based on virtual reality data

Caroline Karmann

Understanding what elements of our visual environment guide our attention would be a crucial asset for design. In architecture, this knowledge could influence the position and size of the various components (e.g., windows) to support ergonomic, safe and em ...

2019

Augmented Robotics for Learners: A Case Study on Optics

Francesco Mondada, Wafa Monia Benkaouar Johal, Stéphane Magnenat, Amaury Robert Dame, Olguta Robu

In recent years, robots have been surfing on a trendy wave as standard devices for teaching programming. The tangibility of robotics platforms allows for collaborative and interactive learning. Moreover, with these robot platforms, we also observe the occu ...

IEEE2019

Using A Priori Knowledge to Improve Scene Understanding

Alexandre Massoud Alahi

Semantic segmentation algorithms that can robustly segment objects across multiple camera viewpoints are crucial for assuring navigation and safety in emerging applications such as autonomous driving. Existing algorithms treat each image in isolation, but ...

IEEE2019

Microsaccades Distinguish Looking From Seeing

Andreas Sonderegger, Andrea Regula Schneider

Understanding our visual world requires both looking and seeing. Dissociation of these processes can result in the phenomenon of inattentional blindness or 'looking without seeing'. Concomitant errors in applied settings can be serious, and even deadly. Cu ...

INT GROUP EYE MOVEMENT RESEARCH2019

Enhanced audio-tactile multisensory interaction in a peripersonal task after echolocation

Andrea Serino

Peripersonal space (PPS) is created by a multisensory interaction between different sensory modalities and can be modified by experience. In this article, we investigated whether an auditory training, inside the peripersonal space area, can modify the PPS ...

Springer2019

Feed-forwards meet recurrent networks in vehicle trajectory prediction

Alexandre Massoud Alahi, Mohammadhossein Bahari

For an autonomous car, getting surprised is the worst thing that can happen. To prevent that, plenty of studies are trying to forecast traffic participants’ actions especially in an urban scene using recurrent networks. Recurrent networks are used for temp ...

2019

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