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Sparsity Invariant CNNs
TLDR
In this paper, we consider convolutional neural networks operating on sparse inputs with an application to depth upsampling from sparse laser scan data. Expand
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DeMoN: Depth and Motion Network for Learning Monocular Stereo
TLDR
We train a convolutional network end-to-end to compute depth and camera motion from successive, unconstrained image pairs. Expand
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Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
TLDR
We present a method that leverages a fully convolutional network (FCN) to predict semantic labels, depth and an instance-based encoding using each pixel’s direction towards its corresponding instance center. Expand
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Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
TLDR
We state a combinatorial optimization problem whose feasible solutions define both a decomposition and a node labeling of a given graph. Expand
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Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes
TLDR
We present an approach that achieves competitive results on the Cityscapes [1] and KITTI [2] datasets, while being twice as fast as any other existing approach. Expand
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The effect of lubricant additives on the coefficient of friction in the flat-die test
Abstract The effectiveness of various lubricants and their additives in reducing the coefficient of friction in the flat-die test was examined. The load, relative velocity, the additives, the baseExpand
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Supplementary Material for Sparsity Invariant CNNs
We find that Sparse Convolutions converge much faster than standard convolutions for most input-output-combinations, especially for those on Synthia with irregularly sparse depth input, as consideredExpand
Method and apparatus for determining a roadside parking area
TLDR
A method for determining a roadside parking area comprises steps of determining an initial position and an end position of the parking area wherein the parking between the initial location and the end position extends; of determining positions of a curve of a road in the area of the initial and final positions of parking lot; and mapping the parking lot with respect to the course of the road such that the parking depicted extends immediately adjacent to the road. Expand
Proceedings 26th Symposium ESVN‐ECVN