Search Results - "Waltner, Georg"
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Image capturing, segmentation and data analysis of shredded refuse streams
Published in Waste management & research (01-09-2024)“…Refuse sorting is an important cornerstone of the recycling industry, but ever-changing refuse compositions and the desire to increase recycling rates still…”
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Journal Article -
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Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Published in IEEE transactions on pattern analysis and machine intelligence (01-02-2020)“…Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of embeddings. In this work, we show how to…”
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BIER - Boosting Independent Embeddings Robustly
Published in 2017 IEEE International Conference on Computer Vision (ICCV) (01-10-2017)“…Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of large embeddings. In this work, we show how…”
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Conference Proceeding -
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FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Published in 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (01-03-2020)“…We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds. Utilizing the dense native range representation of a…”
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Conference Proceeding -
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Encoding based saliency detection for videos and images
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…We present a novel video saliency detection method to support human activity recognition and weakly supervised training of activity detection algorithms…”
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Conference Proceeding -
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FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Published 18-12-2019“…We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds. Utilizing the dense native range representation of a…”
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Journal Article -
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Semi-supervised Detector Training with Prototypes for Vehicle Detection
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01-10-2019)“…Adapting detectors to new datasets is needed in scenarios where a user has a specific dataset that contains novel classes or is recorded in a setting where a…”
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Conference Proceeding -
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HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval
Published in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) (01-01-2019)“…When the number of categories is growing into thousands, large-scale image retrieval becomes an increasingly hard task. Retrieval accuracy can be improved by…”
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Conference Proceeding -
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Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Published 15-01-2018“…Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of embeddings. In this work, we show how to…”
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Journal Article -
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Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Published in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (01-11-2018)“…Automated toll systems rely on proper classification of the passing vehicles. This is especially difficult when the images used for classification only cover…”
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Conference Proceeding
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Grid Loss: Detecting Occluded Faces
Published 01-09-2016“…Detection of partially occluded objects is a challenging computer vision problem. Standard Convolutional Neural Network (CNN) detectors fail if parts of the…”
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Journal Article -
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Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Published 09-05-2018“…Automated toll systems rely on proper classification of the passing vehicles. This is especially difficult when the images used for classification only cover…”
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Journal Article -
13
Indoor Activity Detection and Recognition for Sport Games Analysis
Published 25-04-2014“…Activity recognition in sport is an attractive field for computer vision research. Game, player and team analysis are of great interest and research topics…”
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Journal Article