47 results

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Michael Black
(Director)
+49 7071 601 1801
black@tue.mpg.de
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Michael Black

Director

My research focuses on computing and understanding motion in the world from video. In generic scenes I study optical flow (the 2D image motion) and how it relates to physical properties of the world including 3D shape, material, illumination, and motion. I also develop new methods to capture natural, complex, human and animal motion for applications in computer vision, animation, and neuroscience.

Office: N3.019
+49 7071 601 1801


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Melanie Feldhofer
(Department Manager)
+49 7071 601 1800
melanie.feldhofer@tuebingen...
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Melanie Feldhofer

Department Manager

Office: N3.018
+49 7071 601 1800


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Nicole Overbaugh
(Administrative Assistant)
+49 7071 601 1800
nicole.overbaugh@tuebingen....
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Nicole Overbaugh

Administrative Assistant

Office: N3.018
+49 7071 601 1800


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Andreas Geiger
(Max Planck Research Group Leader)
+49 7071 601 1830
andreas.geiger@tuebingen.mp...
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Andreas Geiger

Max Planck Research Group Leader

I am interested in computer vision and machine learning with a focus on 3D scene understanding, parsing and reconstruction. During my Ph.D. I have developed probabilistic models for 3D traffic scene understanding from movable platforms.

Office: S2.016
+49 7071 601 1830


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Peter Vincent Gehler
(Professor)
+49 7071 601 1808
pgehler@tuebingen.mpg.de
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Peter Vincent Gehler

Professor

I am a research group leader at the Bernstein Center for Computational Neuroscience and the Max Planck Instiute for Intelligent Systems in Tübingen. Before, I was postdoctoral researcher at ETH Zurich, temporary Professor at TU Darmstadt, and Junior Research Group Leader at the MPI for Informatik. I did my PhD studies in the Empirical Inference group at the MPI for Biological Cybernetics. My main research focus lies on visual scene understanding. I want to enable computers to reason about the physical world around us. This requires models that can infer about the semantic, as well as the physical properties of visual data. I believe that both problems should be addressed jointly. I have broad interest in computer vision and machine learning topics with a focus on statistical models and inference techniques. Applications range from material and reflectance separation, to detection and pose estimation.

Office: N3.002
+49 7071 601 1808


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Aamir Ahmad
(Research Scientist)
+49 7071 601 218
aamir.ahmad@tuebingen.mpg.de
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Aamir Ahmad

Research Scientist

My main research interests lie in Bayesian sensor fusion and optimization-based state estimation. The core application focus of my research is vision-based perception in Robotics. I have worked with several ground robots in the recent past. Currently, I am focusing on aerial robots and active perception in multiple aerial vehicle systems.

Office: N3.007
+49 7071 601 218


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Tsvetelina Alexiadis
(Trial Coodrinator)
+49 7071 601 1805
talexiadis@tuebingen.mpg.de
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Tsvetelina Alexiadis

Trial Coodrinator

I work with computer vision researchers to coordinate, schedule and run human subjects trials involving body shape and motion analysis at the Perceiving Systems Department. To collect data we use several computer vision technologies, including our unique 3D and 4D body scanners and our new 4D face scanner.

Office: N3.016
+49 7071 601 1805


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Timo Bolkart
(Postdoctoral Researcher)
timo.bolkart@tuebingen.mpg.de
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Timo Bolkart

Postdoctoral Researcher

My research focus and interest is in the area of 3D computer vision and computer graphics. I am especially interested in non-rigid shape analysis, statistical modelling of various kinds of shapes, and the analysis of motion data.

Office: N3.009


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Lea Buchweitz

HiWi

Office: N3.004


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Celia Foster
(Ph.D. Student, MPI for Biological Cybernetics. Advisor: Isabelle Bülthoff.)
07071 601 631
celia.foster@tuebingen.mpg.de
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Celia Foster

Ph.D. Student, MPI for Biological Cybernetics. Advisor: Isabelle Bülthoff.

Office: 001.3
07071 601 631
07071 601 616


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Raghudeep Gadde

Postdoctoral Researcher

Office: N3.006


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Fatma Güney

Ph.D. Student

Advisor: Andreas Geiger

I am interested in estimating 3D scene representations from multi-view video sequences. In particular, I focus on combining semantic segmentation, object detection and classification with 3D reconstruction using efficient inference methods.

Office: S2.017


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Søren Hauberg
(Post doc. at the Section for Cognitive Systems at the Technical University of Denmark.)
soren.hauberg@tuebingen.mpg.de
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Søren Hauberg

Post doc. at the Section for Cognitive Systems at the Technical University of Denmark.


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Yinghao Huang

Ph.D. Student

Yinghao Huang is a PhD candidate at Max Planck Institute for Intelligent Systems, supervised by Director Michael J. Black. His research interests fall in the areas of Machine Learning, Computer Vision and Computer Graphics. More specifically, he focuses on the topics of Human Body Modelling, 3D Human Shape and Pose Estimation, and other related things.

Office: N3.004


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Varun Jampani

Ph.D. Student

I am working on leveraging machine learning techniques for better inference in computer vision applications. The main research question is how to make use of learning techniques such as deep neural networks and random forests for inference in structured prediction frameworks.

Office: N3.004


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Joel Janai
(Ph.D. Student)
+49 7071 601 1855
joel.janai@tuebingen.mpg.de
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Joel Janai

Ph.D. Student

Advisor: Andreas Geiger

Perception is a fundamental part of intelligence since perception is necessary to acquire knowledge and knowledge is necessary to understand perception. Therefore computer vision is one of the most important aspects in the realization of intelligent systems. My interest of research lies in computer vision and the combination with machine learning which, to my mind, will enable the realization of intelligent systems. Currently, I am working on optical flow and how to incorporate high-level information to alleviate this ill-posed problem.

Office: S2.017
+49 7071 601 1855


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Andrea Keller
(Project Coordinator)
+49 7071 601 1803
andrea.keller@tuebingen.mpg.de
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Andrea Keller

Project Coordinator

I coordinate our department's research trials. We collect data on human body shape and pose. This includes 3D and 4D body scans, face scans, anthropometric measurements, Motion Capture, and further (experimental) technologies. I recruit participants, schedule, manage appointments, create protocols of poses and movements and gain data according to our scientists' needs. Also, I process the data and take care of the data security.

Office: N3.016
+49 7071 601 1803


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Hedvig Kjellström

Professor

My research concerns learning models of perception and production of non-verbal communicative behavior. Such models can be used to create richer human-robot and human-avatar interaction, for medical diagnosis systems, and for contextual synthesis of different kinds of human behaviors, e.g., guiding synthesis of hand motion from body motion.

Office: N3.003


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Naejin Kong

Research Scientist

My research focuses on how intelligent systems can understand a visual world that is constantly changing. Currently my main interest is how to recover fundamental scene properties (i.e. intrinsic images) registered in the pixel grid of the video sequences, such as albedo, shading, optical flow, surface boundaries, and depth.

Office: N3.009


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Christoph Lassner

Ph.D. Student

How can autonomous perception discover high-dimensional patterns in recorded data from our environment? I am approaching this question by working on structured computer vision tasks, such as Human Pose Estimation. I hope that insights from this area will improve our data analysis systems, so that they can assist us in better understanding our environment.

Office: N3.004


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Guilherme Lawless

Ph.D. Intern

Research on Active Cooperative SLAM

Office: N3.004


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Tianye Li

Ph.D. Intern

I am currently a Ph.D. student in Computer Science at University of Southern California (USC), advised by Prof. Hao Li. My research interests are in capturing, modeling and understanding human face / body.  From September 2016, I started this research internship in the Perceiving Systems dept. at the Max Planck Institute for Intelligent Systems. I'm mentored by Dr. Javier Romero. 

Office: N3.004


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Matthew Loper

Ph.D. Student

Advisor: Michael Black

I work on predicting a person's shape and measurements from scan and image data. I specialize in segmentation, evaluation and alignment.


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Naureen Mahmood

Research Engineer

My work focuses on improving human body shape and pose estimation from different sensor based systems. I help develop tools and methods for capturing and processing data from depth/ToF sensors and mocap-like systems. I am also involved in developing tools to implement research projects into existing computer graphics and animation pipelines.

Office: N3.016


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Betty Mohler
(Affiliated Researcher)
+49 7071 601 217
betty.mohler@tuebingen.mpg.de
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Betty Mohler

Affiliated Researcher

Office: 1.VR.03
+49 7071 601 217
+49 7071 601 616


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Gerard Pons-Moll
(Research Scientist)
+49 7071 601 1835
gerard.pons.moll@tuebingen....
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Gerard Pons-Moll

Research Scientist

Are there people out there? How do they move? What is their body shape? What are they wearing? For machines to interact with humans and the physical world, we need to train them to answer these questions. My research is focused on combining ideas from computer vision and machine learning to enable machines to perceive humans. During my Ph.D. I worked mostly on geometric modelling and articulated tracking from images.

Office: N3.009
+49 7071 601 1835


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Sivaram Prasad Mudunuri

Ph.D. Intern

I am a doctoral student in the Department of Electrical Engineering at the Indian Institute of Science - Bangalore, advising by Dr Soma Biswas, Assistant Professor. My research interests are in computer vision and pattern recognition with applications to low resolution face recognition.

Office: N3.004


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Jorge Márquez
(MoCap Scanning Engineer)
+49 7071 601 1817
jorge.marquez@tuebingen.mpg.de
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Jorge Márquez

MoCap Scanning Engineer

I work with the camera scanners available in the PS department. I provide support for the researchers, together with managing and upgrading the scanning systems.

Office: N3.016
+49 7071 601 1817


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Thomas Nestmeyer
(Ph.D. Student)
+49 7071 601 1812
thomas.nestmeyer@tuebingen....
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Thomas Nestmeyer

Ph.D. Student

I work on decomposing photographs into their intrinsic layers of reflectance and shading using deep learning methods for fast inference. In addition I started to work on interactive semantic segmentation using CNNs.

Office: N3.004
+49 7071 601 1812


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Ahmed Osman

Research Engineer

I am working with researchers and scientists to build scientific software and tools to enable scalable and efficient learning of human body shape and poses.

Office: N3.016


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Eric Price

Ph.D. Student

PhD Student, Perceiving Systems. Working on Outdoor 4d scans with multiple UAVs.

Office: N3.004


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Sergey Prokudin

Ph.D. Student

I am working on the intersection of reinforcement learning and computer vision. Many computer vision problems can be posed as sequential decision problems and I aim to use reinforcement learning to solve them.

Office: N3.004


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Sergi Pujades
(Postdoctoral Researcher )
sergi.pujades@tuebingen.mpg.de
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Sergi Pujades

Postdoctoral Researcher

My research interests are in computer vision, computer graphics and image processing. By now I've had the chance to work in image based rendering, stereo and multi-view 3D reconstruction and 3D cinematography. I'm looking forward to expand my expertise in geometric modeling, machine learning and medical imaging. So many cool things to learn!

Office: N3.009


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Alejandra Quiros-Ramirez

Postdoctoral Researcher

I am interested in understanding how we perceive human body shape and pose. Furthermore, I am interested in studying how individual factors (such as culture) affect our perception of our own and other people's bodies. On the side from research, I enjoy web technologies! I am currently supporting the creation of websites for scientific data acquisition and dissemination related to 3D body shape, as well as web development for scientific experiments and perceptual studies.

Office: N3.007


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Anurag Ranjan

Ph.D. Student

Advisor: Michael Black

My research focuses on Deep Learning for dense estimation problems such as Optical Flow. My broad interests include Computer Vision and Machine Learning.

Office: N3.004


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Javier Romero

Affiliated Researcher

One of the requirements for enabling machines to perceive and interact in a human environment is to accurately perceive humans and their activities. My research is related to different aspects of movement perception and modeling. Since completing my PhD I'm focusing in human hand modeling, detection and pose estimation.


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Cordelia Schmid
(INRIA Research Director (visits: Jan. 2013, May 2014, Jan. 2015, April 2016, April/May 2017))
cordelia.schmid@inria.fr
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Cordelia Schmid

INRIA Research Director (visits: Jan. 2013, May 2014, Jan. 2015, April 2016, April/May 2017)

Humboldt Fellow

Office: N3.003


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Laura Sevilla
(Postdoctoral Researcher)
laura.sevilla@tuebingen.mpg.de
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Laura Sevilla

Postdoctoral Researcher

My research interests are in motion estimation and scene understanding. In particular I'm interested in exploring and modeling how the semantics and the motion of the scene are related.

Office: N3.015


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Paul Soubiran
(Ph.D. Student, University of Tuebingen)
paul.soubiran@med.uni-tuebi...
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Paul Soubiran

Ph.D. Student, University of Tuebingen

My research is based in preclinical imaging at the Werner Siemens Imaging Center, and I am focused on novel molecular imaging techniques. My research involves awake and unrestrained rodents and measurements of a more truthful neurophysiological response (to drugs, stimuli, treatments, etc…). I am interested in building an model for tracking and capturing the most commonly used research rodents in preclinical applications.


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Abhilash Srikantha
(Ph.D. Student, University of Bonn)
abhilash.srikantha@tuebinge...
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Abhilash Srikantha

Ph.D. Student, University of Bonn

Advisor: Jürgen Gall


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Siyu Tang
(Postdoctoral Researcher)
stang@tuebingen.mpg.de
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Siyu Tang

Postdoctoral Researcher

My research focuses on people detection/tracking. I also work on articulated pose estimation and pose tracking.

Office: N3.009


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Anne Thaler
(Ph.D. Student, MPI for Biological Cybernetics)
+49 7071 601 230
anne.thaler@tuebingen.mpg.de
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Anne Thaler

Ph.D. Student, MPI for Biological Cybernetics

Advisor: Betty Mohler

The goal of my research is to understand visual factors that contribute to one’s representation of the physical body. I am using the novel technology of biometric-based avatars provided by the MPI for Intelligent Systems to study mechanisms related to body representations in healthy people and its distortions in eating and weight disordered individuals.

Office: 1.VR.01
+49 7071 601 230
+49 7071 601 616


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Dimitris Tzionas

Postdoctoral Researcher

For my PhD I worked with Juergen Gall on Hand-Object Interaction. In particular we focused on capturing the motion of hands interacting with each other and/or with a rigid or an articulated object. We further studied the case of acquiring missing knowledge about the manipulated object, i.e. its shape or its kinematic model.

Office: N3.009


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Osman Ulusoy
(Postdoctoral Researcher)
osman.ulusoy@tuebingen.mpg.de
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Osman Ulusoy

Postdoctoral Researcher

Advisor: Andreas Geiger

I am interested in recovering physical properties of general scenes from images. My current research focuses on reconstructing dense 3-d surface geometry, appearance and motion of dynamic scenes from multi-view image sequences. I believe accurate estimation of these properties will help understand the physical world.

Office: N3.015


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Gul Varol

Ph.D. Student

Office: 1.B.05


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Jonas Wulff

Ph.D. Student

Advisor: Michael Black

My research focuses on the computational analysis of video sequences: In what ways can the temporal dimension of videos be used by a computer to better understand the structure of a scene? And what can we learn from dynamic stimuli processing in the human visual system to make our algorithms more robust?

Office: N3.004


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Silvia Zuffi
(Research Scientist, MATI-CNR, Institute for Applied Mathematics and Information Technologies, Milan Italy)
silvia.zuffi@tuebingen.mpg.de
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Silvia Zuffi

Research Scientist, MATI-CNR, Institute for Applied Mathematics and Information Technologies, Milan Italy

My current research focuses on representing the appearance of people in images and video sequences. I am particularly interested in 2D and 3D models that capture the variability in shape of articulated and deformable objects like the human body. Previous work focused on color image reproduction, multispectral color imaging, readability of colored text.