222 citations · 765 across the 21 of their papers we have counts for
12 papers · 1 filter
Content-Consistent Generation of Realistic Eyes with Style
Marcel Bühler, Seonwook Park, Shalini De Mello +2
Accurately labeled real-world training data can be scarce, and hence recent works adapt, modify or generate images to boost target datasets. However, retaining relevant details fro…
Structured Prediction Helps 3D Human Motion Modelling
Emre Aksan, Manuel Kaufmann, Otmar Hilliges
Human motion prediction is a challenging and important task in many computer vision application domains. Existing work only implicitly models the spatial structure of the human ske…
Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors
Stefan Stevsic, Tobias Naegeli, Javier Alonso-Mora +1
In this paper we propose an algorithm for the training of neural network control policies for quadrotors. The learned control policy computes control commands directly from sensor…
Dynamic Drawing Guidance via Electromagnetic Haptic Feedback
Thomas Langerak, Juan Zarate, Velko Vechev +2
We propose a system to deliver dynamic guidance in drawing, sketching and handwriting tasks via an electromagnet moving underneath a high refresh rate pressure sensitive tablet. Th…
Optimizing for Aesthetically Pleasing Quadrotor Camera Motion
Christoph Gebhardt, Stefan Stevsic, Otmar Hilliges
In this paper we first contribute a large scale online study (N=400) to better understand aesthetic perception of aerial video. The results indicate that it is paramount to optimiz…
Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
Christoph Gebhardt, Benjamin Hepp, Tobias Naegeli +2
In this paper we propose a computational design tool that al-lows end-users to create advanced quadrotor trajectories witha variety of application scenarios in mind. Our algorithm…
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction
Sammy Christen, Stefan Stevsic, Otmar Hilliges
In this paper, we propose a method for training control policies for human-robot interactions such as handshakes or hand claps via Deep Reinforcement Learning. The policy controls…
Few-Shot Adaptive Gaze Estimation
Seonwook Park, Shalini De Mello, Pavlo Molchanov +3
Inter-personal anatomical differences limit the accuracy of person-independent gaze estimation networks. Yet there is a need to lower gaze errors further to enable applications req…
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
Zhe He, Adrian Spurr, Xucong Zhang +1
Gaze redirection is the task of changing the gaze to a desired direction for a given monocular eye patch image. Many applications such as videoconferencing, films, games, and gener…
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan, Otmar Hilliges
Convolutional architectures have recently been shown to be competitive on many sequence modelling tasks when compared to the de-facto standard of recurrent neural networks (RNNs),…
Unpaired Pose Guided Human Image Generation
Xu Chen, Jie Song, Otmar Hilliges
This paper studies the task of full generative modelling of realistic images of humans, guided only by coarse sketch of the pose, while providing control over the specific instance…
Monocular Neural Image Based Rendering with Continuous View Control
Xu Chen, Jie Song, Otmar Hilliges
We present an approach that learns to synthesize high-quality, novel views of 3D objects or scenes, while providing fine-grained and precise control over the 6-DOF viewpoint. The a…