765 citations · 3.7k across the 105 of their papers we have counts for
18 papers · 1 filter
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling
Hosnieh Sattar, Andreas Bulling, Mario Fritz
Predicting the target of visual search from eye fixation (gaze) data is a challenging problem with many applications in human-computer interaction. In contrast to previous work tha…
What Is Around The Camera?
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3
How much does a single image reveal about the environment it was taken in? In this paper, we investigate how much of that information can be retrieved from a foreground object, com…
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation work indicated that information from the full face region can benefit performance. Pushing…
Long-Term Image Boundary Prediction
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele +1
Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone o…
Tutorial on Answering Questions about Images with Deep Learning
Mateusz Malinowski, Mario Fritz
Together with the development of more accurate methods in Computer Vision and Natural Language Understanding, holistic architectures that answer on questions about the content of r…
Visual Stability Prediction and Its Application to Manipulation
Wenbin Li, Aleš Leonardis, Mario Fritz
Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing nov…
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles
Wei-Chen Chiu, Fabio Galasso, Mario Fritz
Are we ready to segment consumer stereo videos? The amount of this data type is rapidly increasing and encompasses rich information of appearance, motion and depth cues. However, t…
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task
Ashkan Mokarian, Mateusz Malinowski, Mario Fritz
We present Mean Box Pooling, a novel visual representation that pools over CNN representations of a large number, highly overlapping object proposals. We show that such representat…
Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
As we shift more of our lives into the virtual domain, the volume of data shared on the web keeps increasing and presents a threat to our privacy. This works contributes to the und…
Spatio-Temporal Image Boundary Extrapolation
Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz
Boundary prediction in images as well as video has been a very active topic of research and organizing visual information into boundaries and segments is believed to be a corner st…
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
We address a question answering task on real-world images that is set up as a Visual Turing Test. By combining latest advances in image representation and natural language processi…
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
Abhishek Sharma, Oliver Grau, Mario Fritz
With the advent of affordable depth sensors, 3D capture becomes more and more ubiquitous and already has made its way into commercial products. Yet, capturing the geometry or compl…
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
Yang He, Wei-Chen Chiu, Margret Keuper +1
We propose a novel superpixel-based multi-view convolutional neural network for semantic image segmentation. The proposed network produces a high quality segmentation of a single i…
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
Wenbin Li, Seyedmajid Azimi, Aleš Leonardis +1
Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing nov…
Multi-Cue Zero-Shot Learning with Strong Supervision
Zeynep Akata, Mateusz Malinowski, Mario Fritz +1
Scaling up visual category recognition to large numbers of classes remains challenging. A promising research direction is zero-shot learning, which does not require any training da…
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3
In this paper we are extracting surface reflectance and natural environmental illumination from a reflectance map, i.e. from a single 2D image of a sphere of one material under one…
Contextual Media Retrieval Using Natural Language Queries
Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling +1
The widespread integration of cameras in hand-held and head-worn devices as well as the ability to share content online enables a large and diverse visual capture of the world that…
Novel Views of Objects from a Single Image
Konstantinos Rematas, Chuong Nguyen, Tobias Ritschel +2
Taking an image of an object is at its core a lossy process. The rich information about the three-dimensional structure of the world is flattened to an image plane and decisions su…