activity
20172021
most citedDeep Pictorial Gaze Estimation

222 citations · 765 across the 21 of their papers we have counts for

collaborators
Showing 2018Show all

9 papers · 1 filter

cs.CV2018

End-to-end Learning for Graph Decomposition

Jie Song, Bjoern Andres, Michael Black +2

We propose a novel end-to-end trainable framework for the graph decomposition problem. The minimum cost multicut problem is first converted to an unconstrained binary cubic formula…

cs.CV2018★ 1 cited

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility

Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha +3

Camera equipped drones are nowadays being used to explore large scenes and reconstruct detailed 3D maps. When free space in the scene is approximately known, an offline planner can…

cs.CV2018★ 222 cited

Deep Pictorial Gaze Estimation

Seonwook Park, Adrian Spurr, Otmar Hilliges

Estimating human gaze from natural eye images only is a challenging task. Gaze direction can be defined by the pupil- and the eyeball center where the latter is unobservable in 2D…

cs.CV2018★ 166 cited

Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings

Seonwook Park, Xucong Zhang, Andreas Bulling +1

Conventional feature-based and model-based gaze estimation methods have proven to perform well in settings with controlled illumination and specialized cameras. In unconstrained re…

cs.GR2018★ 53 cited

Deformation Capture via Soft and Stretchable Sensor Arrays

Oliver Glauser, Daniele Panozzo, Otmar Hilliges +1

We propose a hardware and software pipeline to fabricate flexible wearable sensors and use them to capture deformations without line of sight. Our first contribution is a low-cost…

cs.CV2018

Cross-modal Deep Variational Hand Pose Estimation

Adrian Spurr, Jie Song, Seonwook Park +1

The human hand moves in complex and high-dimensional ways, making estimation of 3D hand pose configurations from images alone a challenging task. In this work we propose a method t…

cs.HC2018★ 53 cited

AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time

Seonwook Park, Christoph Gebhardt, Roman Rädle +8

Developing cross-device multi-user interfaces (UIs) is a challenging problem. There are numerous ways in which content and interactivity can be distributed. However, good solutions…

cs.HC2018★ 8 cited

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling

Emre Aksan, Fabrizio Pece, Otmar Hilliges

Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text. Character recognition converts handwritten t…

cs.HC2018★ 1 cited

WYFIWYG: Investigating Effective User Support in Aerial Videography

Christoph Gebhardt, Otmar Hilliges

Tools for quadrotor trajectory design have enabled single videographers to create complex aerial video shots that previously required dedicated hardware and several operators. We b…