Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction von Ladický, Lubor, Sturgess, Paul, Russell, Chris, Sengupta, Sunando, Bastanlar, Yalin, Clocksin, William, Torr, Philip H. S.

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Approximate convex decomposition and transfer for animated meshes von Thul, Daniel, Ladický, L'ubor, Jeong, Sohyeon, Pollefeys, Marc

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Mind the Gap: Modeling Local and Global Context in (Road) Networks von Montoya-Zegarra, Javier A., Wegner, Jan D., Ladický, Ľubor, Schindler, Konrad

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What, Where and How Many? Combining Object Detectors and CRFs von Ladický, Ľubor, Sturgess, Paul, Alahari, Karteek, Russell, Chris, Torr, Philip H. S.

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Quantification of Predictive Uncertainty via Inference-Time Sampling von Tóthová, Katarína, Ladický, Ľubor, Thul, Daniel, Pollefeys, Marc, Konukoglu, Ender

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Inference Methods for CRFs with Co-occurrence Statistics von Ladický, Ľubor, Russell, Chris, Kohli, Pushmeet, Torr, Philip H. S.

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Large-Scale Supervised Learning For 3D Point Cloud Labeling: Semantic3d.Net von Hackel, Timo, Wegner, Jan D., Savinov, Nikolay, Ladicky, Lubor, Schindler, Konrad, Pollefeys, Marc

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Associative Hierarchical Random Fields von Ladicky, L'ubor, Russell, Chris, Kohli, Pushmeet, Torr, Philip H. S.

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Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction: Scenes, Images and Objects von LADICKY, Lubor, STURGESS, Paul, RUSSELL, Chris, SENGUPTA, Sunando, BASTANLAR, Yalin, CLOCKSIN, William, TORR, Philip H. S

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Graph Cut Based Inference with Co-occurrence Statistics von Ladicky, Lubor, Russell, Chris, Kohli, Pushmeet, Torr, Philip H. S.

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Quantification of Predictive Uncertainty via Inference-Time Sampling von Tóthová, Katarína, Ladický, Ľubor, Thul, Daniel, Pollefeys, Marc, Konukoglu, Ender

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Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction von Savinov, Nikolay, Ladicky, Lubor, Haene, Christian, Pollefeys, Marc

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Matching neural paths: transfer from recognition to correspondence search von Savinov, Nikolay, Ladicky, Lubor, Pollefeys, Marc

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Learning the Matching Function von Ladický, Ľubor, Häne, Christian, Pollefeys, Marc

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Quad-networks: unsupervised learning to rank for interest point detection von Savinov, Nikolay, Seki, Akihito, Ladicky, Lubor, Sattler, Torsten, Pollefeys, Marc

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Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint von Savinov, Nikolay, Haene, Christian, Ladicky, Lubor, Pollefeys, Marc

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Matching neural paths: transfer from recognition to correspondence search von Savinov, Nikolay, Ladicky, Lubor, Pollefeys, Marc

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Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint von Savinov, Nikolay, Haene, Christian, Ladicky, Lubor, Pollefeys, Marc

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Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction von Savinov, Nikolay, Ladicky, Lubor, Haene, Christian, Pollefeys, Marc

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Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark von Hackel, Timo, Savinov, Nikolay, Ladicky, Lubor, Wegner, Jan D, Schindler, Konrad, Pollefeys, Marc

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