Search Results - "Grabner, Helmut"

Video summarization by learning submodular mixtures of objectives by Gygli, Michael, Grabner, Helmut, Van Gool, Luc

“…We present a novel method for summarizing raw, casually captured videos. The objective is to create a short summary that still conveys the story. It should…”
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distect: automatic sample-position tracking for X-ray experiments using computer vision algorithms by Berg, Michael, Furrer, Dirk, Thominet, Vincent, Wang, Xiaoqiang, Zeugin, Stefan, Grabner, Helmut, Stockinger, Kurt, Piamonteze, Cinthia

“…Soft X-ray spectroscopy is an important technique for measuring the fundamental properties of materials. However, for measurements of samples in the…”
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The AI-Atlas: Didactics for Teaching AI and Machine Learning On-Site, Online, and Hybrid by Stadelmann, Thilo, Keuzenkamp, Julian, Grabner, Helmut, Würsch, Christoph

“…We present the “AI-Atlas” didactic concept as a coherent set of best practices for teaching Artificial Intelligence (AI) and Machine Learning (ML) to a…”
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On-line boosting-based car detection from aerial images by Grabner, Helmut, Nguyen, Thuy Thi, Gruber, Barbara, Bischof, Horst

“…Car detection from aerial images has been studied for years. However, given a large-scale aerial image with typical car and background appearance variations,…”
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Who wants to be a Click-Millionaire? On the Influence of Thumbnails and Captions by Koller, Thomas, Grabner, Helmut

“…How to be successful on a video platform with 720K hours of video uploaded daily? This is the key question for every Youtube content creator. Especially,…”
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The Interestingness of Images by Gygli, Michael, Grabner, Helmut, Riemenschneider, Hayko, Nater, Fabian, Van Gool, Luc

“…We investigate human interest in photos. Based on our own and others' psychophysical experiments, we identify various cues for "interestingness", namely…”
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On-line Boosting and Vision by Grabner, H., Bischof, H.

“…Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have…”
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What makes a chair a chair? by Grabner, H., Gall, J., Van Gool, L.

“…Many object classes are primarily defined by their functions. However, this fact has been left largely unexploited by visual object categorization or detection…”
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Making it into a successful series A funding: An analysis of Crunchbase and LinkedIn data by Te, Yiea-Funk, Wieland, Michèle, Frey, Martin, Pyatigorskaya, Asya, Schiffer, Penny, Grabner, Helmut

“…Startups are a key force driving economic development, and the success of these high-risk ventures can bring huge profits to venture capital firms. The ability…”
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Tracking the invisible: Learning where the object might be by Grabner, H, Matas, J, Van Gool, L, Cattin, P

“…Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is often ignored in object…”
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Commonly Interesting Images by Abdullahu, Fitim, Grabner, Helmut

“…Images tell stories, trigger emotions, and let us recall memories -- they make us think. Thus, they have the ability to attract and hold one's attention, which…”
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Online classification of visual tasks for industrial workflow monitoring by Voulodimos, Athanasios, Kosmopoulos, Dimitrios, Veres, Galina, Grabner, Helmut, Van Gool, Luc, Varvarigou, Theodora

“…Modelling and classification of time series stemming from visual workflows is a very challenging problem due to the inherent complexity of the activity…”
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Exploiting simple hierarchies for unsupervised human behavior analysis by Nater, F, Grabner, H, Van Gool, L

“…We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted…”
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Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition by Stalder, Severin, Grabner, Helmut, van Gool, Luc

“…We present a multiple classifier system for model-free tracking. The tasks of detection (finding the object of interest), recognition (distinguishing similar…”
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Online classification of visual tasks for industrial workflow monitoring: Artificial Neural Networks: Selected papers from ICANN 2010 by VOULODIMOS, Athanasios, KOSMOPOULOS, Dimitrios, VERES, Galina, GRABNER, Helmut, VAN GOOL, Luc, VARVARIGOU, Theodora

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Learning Features for Tracking by Grabner, M., Grabner, H., Bischof, H.

“…We treat tracking as a matching problem of detected key-points between successive frames. The novelty of this paper is to learn classifier-based keypoint…”
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Learning to Ignore: Fair and Task Independent Representations by Boedi, Linda H, Grabner, Helmut

“…Training fair machine learning models, aiming for their interpretability and solving the problem of domain shift has gained a lot of interest in the last…”
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Aerial object tracking from an airborne platform by Nussberger, Andreas, Grabner, Helmut, Van Gool, Luc

“…The integration of drones into the civil airspace is still an unresolved problem. In this paper we present an experimental Sense and Avoid system integrated…”
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Semi-supervised boosting using visual similarity learning by Leistner, C., Grabner, H., Bischof, H.

“…The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled…”
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Exploiting Physical Inconsistencies for 3D Scene Understanding by Fossati, A., Grabner, H., van Gool, L.

“…Reliable 3D object tracking can provide strong cues for scene understanding. In this paper we exploit inconsistencies between measured 3D trajectories and…”
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