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The Perceiving Systems Department, the Embodied Vision Group and the Autonomous Vision Group at the Max Planck Institute for Intelligent Systems are well represented at one of the world’s leading computer vision conferences taking place in Seoul in October.
Tübingen – The International Conference on Computer Vision ICCV, which will take place in Seoul in October, is one of the world’s leading conferences in this field. The Perceiving Systems Department, the Embodied Vision Group and the Autonomous Vision Group at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen are making a strong showing this year with a total of ten accepted papers: the Perceiving Systems Department with six, the Autonomous Vision Group with two, and one is a collaboration between the two. The Embodied Vision Group has one paper accepted. With this high number of accepted papers, the MPI-IS is one of the best represented research institutions at this conference.
The accepted papers are:
Perceiving Systems Department and Autonomous Vision Group:
Attacking Optical Flow
Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black
Perceiving Systems Department:
Resolving 3D human pose ambiguities with 3D scene constrains
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black
End-to-end Learning for Graph Decomposition
Jie Song (ETH), Bjoern Andres (Bosch), Michael J. Black, Otmar Hilliges (ETH), Siyu Tang
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
Nitin Saini, Eric Price, Rahul Tallamraju, Raffi, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild”
Silvia Zuffi (IMATI-CN), Angjoo Kanazawa (Berkeley), Tanya Berger-Wolf (U Chicago), Michael J. Black
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood (Meshcapade), Nima Ghorbani, Gerard Pons-Moll (MPI for Informatik), Niko Troje (York U), Michael J. Black
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Nikos Kolotouros (UPenn), Georgios Pavlakos (UPenn), Michael J. Black, Kostas Daniilidis (UPenn)
Autonomous Vision Group
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger (poster)
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger (oral)
Embodied Vision
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
Michael Strecke, Jörg Stückler
Find out more about the conference here: http://iccv2019.thecvf.com