Towards Convenient Calibration for Cross-Ratio based Gaze Estimation

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Computer vision has made remarkable strides in recent decades, becoming a cornerstone of modern technology with applications ranging from autonomous driving to medical imaging. However, despite these advancements, several core challenges remain, especially ...

When humans interact with each other, eye gaze movements have to support motor control as well as communication. On the one hand, we need to fixate the task goal to retrieve visual information required for safe and precise action-execution. On the other ha ...

The Customer Experience Management at the Swiss Federal Railways (SBB) experiments with new technologies and methods to capture experiences and perceptions of passengers to design safe and customer friendly environments. First, a new methodological approac ...

A computer-implemented method for reconstructing/recovering high-resolution visible light spectral data at a target resolution d, that comprises obtaining a configuration of a low- resolution multi-channel imaging sensor of resolution p, the configuration ...

Activity-based models offer the potential for a far deeper understanding of daily mobility behaviour than trip-based models. Based on the fundamental assumption that travel demand is derived from the need to do activities, they are flexible tools that aim ...

This paper studies kernel ridge regression in high dimensions under covariate shifts and analyzes the role of importance re-weighting. We first derive the asymptotic expansion of high dimensional kernels under covariate shifts. By a bias-variance decomposi ...

We consider a least-squares/relaxation finite element method for the numerical solution of the prescribed Jacobian equation. We look for its solution via a least-squares approach. We introduce a relaxation algorithm that decouples this least-squares proble ...

Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing meaningful physical or chemical parameters, measured in physical units, with normative values acqu ...

Digital technologies reshape the way we interact with our environment, including with artworks. Advanced computational imaging solutions allow having extremely high-resolution digital reproductions of artworks outside museums, presumably increasing artwork ...

A substantial body of research in multimodal interaction has studied how people naturally interact -face-to-face and through machinesand developed technology to analyze, support, and extend such forms of interaction. The talk will share personal experience ...

This paper considers the multi-agent linear least-squares problem in a server-agent network architecture. The system comprises multiple agents, each with a set of local data points. The agents are connected to a server, and there is no inter-agent communic ...

More and more intelligent systems have to interact with humans. In order to communicate efficiently, these systems need to perceive and understand us. A key factor of communication is the people's visual focus of attention (VFOA), which is useful to estima ...

In serial dependence (SD), features of a present stimulus are judged as similar to previously presented ones. This bias is often explained by a continuity field (CF) in perception, combining similar stimuli in an extended region of space (∼ 15°) and time ( ...

Multi-component T2 relaxometry allows probing tissue microstructure by assessing compartment-specific T2 relaxation times and water fractions, including the myelin water fraction. Non-negative least squares (NNLS) with zero-order Tikhonov regularization is ...

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square problem, which can be done by finding the eigenvector corresponding to the smal ...

Advances in high-speed imaging techniques have opened new possibilities for capturing ultrafast phenomena such as light propagation in air or through media. Capturing light in flight in three-dimensional xyt space has been reported based on various types o ...

Eye motion is a major confound for magnetic resonance imaging (MRI) in neuroscience or ophthalmology. Currently, solutions toward eye stabilisation include participants fixating or administration of paralytics/anaesthetics. We developed a novel MRI protoco ...

This paper presents the experimental validation of a linear recursive state estimation (SE) process for hybrid AC/DC microgrids proposed in the authors' previous work. The SE uses a unified and linear measurement model that relies on the use of synchronize ...

Many decision problems in science, engineering, and economics are affected by uncertainty, which is typically modeled by a random variable governed by an unknown probability distribution. For many practical applications, the probability distribution is onl ...

Uncertainty quantification is a central challenge in reliable and trustworthy machine learning. Naive measures such as last-layer scores are well-known to yield overconfident estimates in the context of overparametrized neural networks. Several methods, ra ...

Towards Convenient Calibration for Cross-Ratio based Gaze Estimation

Chattez avec Graph Search

Improving Human Pose & Shape Estimation with Explicit and Implicit Priors

The Gaze Dialogue Model: Nonverbal Communication in HHI and HRI

Assessing Experiences and Visual Perception in Train Station Environments with a Mobile Application and Eye Tracking

System and method for transcoding spectral data with task-based optimization via symmetric non-negative matrix factorization

OASIS: An integrated optimisation framework for activity scheduling

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions

Interactive Digital Engagement With Visual Artworks and Cultural Artefacts Enhances User Aesthetic Experiences in the Laboratory and Museum

Focus on People: Five Qestions from Human-Centered Computing

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Modeling and Inferring Attention between Humans or for Human-Robot Interactions

The time course of serial dependence: an interplay between perceptual decisions and task relevant representations

Comparison of non-parametric T2 relaxometry methods for myelin water quantification

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

3-Dimensional magnetic resonance imaging of the freely moving human eye

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Wasserstein Distributionally Robust Learning

On double-descent in uncertainty quantification in overparametrized models