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10/07/2021
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization
We propose a novel method for unsupervised semantic image segmentation b...
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10/23/2020
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
In this work, we propose BP-MVSNet, a convolutional neural network (CNN)...
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08/03/2020
Frame-To-Frame Consistent Semantic Segmentation
In this work, we aim for temporally consistent semantic segmentation thr...
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03/13/2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
It has been proposed by many researchers that combining deep neural netw...
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07/31/2019
Learned Collaborative Stereo Refinement
In this work, we propose a learning-based method to denoise and refine d...
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07/29/2019
Self-Supervised Learning for Stereo Reconstruction on Aerial Images
Recent developments established deep learning as an inevitable tool to b...
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11/09/2018
Learning Energy Based Inpainting for Optical Flow
Modern optical flow methods are often composed of a cascade of many inde...
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01/06/2018
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks
Many works in collaborative robotics and human-robot interaction focuses...
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07/20/2017
Scalable Full Flow with Learned Binary Descriptors
We propose a method for large displacement optical flow in which local m...
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11/30/2016