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Research Overview

3D Reconstruction

Depth Fusion using Successive Reprojections

3D Shape Completion

Deep Marching Cubes

Deep, Probabilistic and Semantic 3D Reconstruction

Learning Deep Representations of 3D

3D Datasets and Benchmarks

Sparsity Invariant CNNs

Efficient volumetric inference with OctNet

Motion Estimation and Scene Understanding

SphereNet

Unsupervised Learning of Flow with Occlusions

Slow Flow

Global Localization and Affordance Learning

Object Scene Flow

Deep Discrete Flow

Generative Models and Image Synthesis

Convergence and Stability of GAN training

Geometric Image Synthesis

Perceiving Systems Members

Learning from Synthetic data

lala

Members

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Perceiving Systems
Javier Romero
Affiliated Researcher
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Perceiving Systems
Anurag Ranjan
  • Doctoral Researcher
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Perceiving Systems
Michael Black
Director
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Perceiving Systems
Jonas Wulff
  • Doctoral Researcher
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Perceiving Systems
David Hoffmann
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Perceiving Systems
Dimitris Tzionas
  • Guest Scientist
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Perceiving Systems
Siyu Tang
Guest Scientist
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Perceiving Systems
Naureen Mahmood
  • Research Engineer
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Perceiving Systems
Gul Varol
  • Guest Scientist
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Perceiving Systems
Cordelia Schmid
Affiliated Researcher
Max Planck Institute for Intelligent Systems

Max-Planck-Ring 4 72076 Tübingen Germany

Heisenbergstr. 3 70569 Stuttgart Germany

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DEPARTMENTS Empirical Inference Haptic Intelligence Perceiving Systems Physical Intelligence Robotic Materials Social Foundations of Computation RESEARCH GROUPS Algorithms and Society Biomimetic Materials and Machines Deep Models and Optimization Human Aspects of Machine Learning Learning and Dynamical Systems Neuromechanics of Movement Organizational Leadership and Diversity Robotic Composites and Compositions Robust Machine Learning Safety- and Efficiency- aligned Learning

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