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Found 7 papers, 1 papers with code
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds.
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Furthermore due to the design of the network, at test time only the 2D camera images are required for classification which enables the usage in portable computer vision systems.
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
To this end, we divide the last embedding layer of a deep network into an embedding ensemble and formulate training this ensemble as an online gradient boosting problem.
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BIER - Boosting Independent Embeddings Robustly
Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of large embeddings.
Grid Loss: Detecting Occluded Faces
Detection of partially occluded objects is a challenging computer vision problem.
Encoding Based Saliency Detection for Videos and Images
We present a novel video saliency detection method to support human activity recognition and weakly supervised training of activity detection algorithms.
Indoor Activity Detection and Recognition for Sport Games Analysis
This paper describes recognition of single player activities in sport with special emphasis on volleyball.
