765 citations · 3.7k across the 105 of their papers we have counts for
16 papers · 1 filter
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
Images convey a broad spectrum of personal information. If such images are shared on social media platforms, this personal information is leaked which conflicts with the privacy of…
Disentangled Person Image Generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis +3
Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and po…
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from a monocular RGB camera without assumptions regarding user, environment…
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
Wenbin Li, Jeannette Bohg, Mario Fritz
Understanding physical phenomena is a key component of human intelligence and enables physical interaction with previously unseen environments. In this paper, we study how an artif…
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Progress towards advanced systems for assisted and autonomous driving is leveraging recent advances in recognition and segmentation methods. Yet, we are still facing challenges in…
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun, Liqian Ma, Seong Joon Oh +3
As more and more personal photos are shared online, being able to obfuscate identities in such photos is becoming a necessity for privacy protection. People have largely resorted t…
: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
Rakshith Shetty, Bernt Schiele, Mario Fritz
Text-based analysis methods allow to reveal privacy relevant author attributes such as gender, age and identify of the text's author. Such methods can compromise the privacy of an…
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Max Augustin, Bernt Schiele +1
Many deployed learned models are black boxes: given input, returns output. Internal information about the model, such as the architecture, optimisation procedure, or training data,…
Person Recognition in Personal Photo Collections
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
People nowadays share large parts of their personal lives through social media. Being able to automatically recognise people in personal photos may greatly enhance user convenience…
Learning Dilation Factors for Semantic Segmentation of Street Scenes
Yang He, Margret Keuper, Bernt Schiele +1
Contextual information is crucial for semantic segmentation. However, finding the optimal trade-off between keeping desired fine details and at the same time providing sufficiently…
Visual Decoding of Targets During Visual Search From Human Eye Fixations
Hosnieh Sattar, Mario Fritz, Andreas Bulling
What does human gaze reveal about a users' intents and to which extend can these intents be inferred or even visualized? Gaze was proposed as an implicit source of information to p…
Advanced Steel Microstructural Classification by Deep Learning Methods
Seyed Majid Azimi, Dominik Britz, Michael Engstler +2
The inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties. While microstructural chara…
A Domain Based Approach to Social Relation Recognition
Qianru Sun, Bernt Schiele, Mario Fritz
Social relations are the foundation of human daily life. Developing techniques to analyze such relations from visual data bears great potential to build machines that better unders…
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
With an increasing number of users sharing information online, privacy implications entailing such actions are a major concern. For explicit content, such as user profile or GPS da…
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
Seong Joon Oh, Mario Fritz, Bernt Schiele
Users like sharing personal photos with others through social media. At the same time, they might want to make automatic identification in such photos difficult or even impossible.…
Exploiting saliency for object segmentation from image level labels
Seong Joon Oh, Rodrigo Benenson, Anna Khoreva +3
There have been remarkable improvements in the semantic labelling task in the recent years. However, the state of the art methods rely on large-scale pixel-level annotations. This…