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50 results

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Michael Black


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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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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Melanie Feldhofer

Department Manager

Office: N3.018
+49 7071 601 1800

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Nicole Overbaugh

Administrative Assistant

Office: N3.018
+49 7071 601 1800

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Siyu Tang

Research Group Leader

I am interested in the intersection between computer vision and machine learning with a focus on holistic visual scene understanding. In particular, I am interested in analyzing and modeling people in our complex visual scenes.

Office: N3.009

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Aamir Ahmad

Research Scientist

I am leading the project AirCAp: Micro Aerial Vehicles (MAV)-based Outdoor motion CAPture. In this project, we have developed MPC-based formation-control methods to jointly perceive moving targets through multiple MAVs, each equipped with a monocular camera. Real robot experimental results have not only validated our approach but have set a strong foundation for future research direction in this context. For further information, please visit the project page.

Office: N3.007
+49 7071 601 1816

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Tsvetelina Alexiadis

Trial Coordinator

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

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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Daniel Cudeiro

Ph.D. Student, Doctoral Fellow at the Max Planck ETH Center for Learning Systems

Advisor: Michael Black

My research focuses on understanding the link between semantics and vision. I believe that our intelligence and ability to perceive our surroundings is strongly influenced by language and meaning. I am also very interested in human emotions, facial expressions, sentiment analysis, multimodal learning, transfer learning and 3D modelling of human bodies and faces; amongst others.

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Simone Denzer

Affiliated Researcher, University Hospital Tuebingen

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Haiwen Feng

Student Assistant

I'm a student assistant supervised by postdoc researcher Timo Bolkart. My work is focusing on gaze behavior extraction and animation. Currently, one of our goals is to integrate human gaze behavior to the face model.

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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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Nima Ghorbani

Research Engineer

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Partha Ghosh

Ph.D. Student, IMPRS-IS Scholar

I am interested in human object interaction learning, to start with human ground interaction leaning (walking/ running) and later on would like to extended it to more complex hand manipulated objects.

Office: N3 004
+49 7071 601 1800

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Mohamed Hassan

Ph.D. Student

I am a PhD student of Dr. Michael J Black and I am interested in 3D reconstruction in the context of user interaction.

Office: N3.004
+49 70701 601 1800

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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

Advisor: Michael Black

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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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

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 data security. Besides that, I am responsible for organising lab tours for visitors of our department.

Office: N3.016
+49 7071 601 1803

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Hedvig Kjellström


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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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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Dorotea Lleshaj

Student Assistant

Office: N3.004

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Roman Ludwig

Student Assistant

Office: N3.007

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Igor Martinovic

Student Assistant

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Tobias Meilinger

Affiliated Researcher

I am interested in the computations underlying human navigation and collaborative spatial problem solving. Further information can be found here.

Office: 009.2
+49 7071 601 615
+49 7071 601 616

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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

Affiliated Researcher

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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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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Simone Mölbert

Ph.D. Student, University Hospital Tuebingen

+49 7071 601 214

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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

Office: N3.016

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Benjamin Pellkofer

IT Sys Admin

Office: N3. 020
+49 7071 601 1821

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Eric Price

Ph.D. Student

Advisor: Michael Black

I'm a second year PhD Student at the department of Perceiving Systems. I'm developing multi-aerial vehicle intelligence for practical research application with prototypes built here at the institute. My current work involves integrating detections from real time deep neural networks into cooperative multi vehicle sensor fusion.

Office: N3.004

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Sergey Prokudin

Ph.D. Student

My current research is focused on building probabilistic models on top of deep neural networks for various computer vision tasks. I'm also interested in object detection and recognition, as well as general machine learning algorithms and applications.

Office: N3.004

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Sergi Pujades

Postdoctoral Researcher

My research aims at understanding the world through the capture and analysis of heterogeneous data (MRI, CT, Point clouds, images, ...) in order to create applied digital instruments, that allow, for example, to generate novel views from a scene, to infer the human shape from a clothed scan, or to predict the amount of adipose tissue of a person from surface observations. To address this challenge, I adopt the approaches of Computer Vision, Signal Processing, Computer Graphics and Statistical Models. My research is often multi-disciplinary, as I need to combine knowledge from these different domains.

Office: N3.009

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Alejandra Quiros-Ramirez

Affiliated 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.

Office: 1.A.01

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Nadine Rueegg

Ph.D. Student

Advisor: Michael Black

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Soubhik Sanyal

Ph.D. Student, IMPRS-IS Scholar

Advisor: Michael Black

Hi, I am a PhD student of Prof. Michael J Black. My initial research is focused on 3D face modelling.

Office: N3. 004
+49 70701 601 1800

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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

Affiliated 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

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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Stephan Streuber

Affiliated Researcher

My goal is to apply statistical human body models in various research domains such as psychology, cognitive science, and medicine. A primary goal is to make our body software accessible to more people. For this purpose I interact with various research groups who need body data and software for doing experiments. I manage these relationships, and support the transfer of body shapes as needed.

Office: 1.A.01
+49 7071 601 1833

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Mallikarjun Swamy


I am doing my bachelor thesis as part of an internship. My work focuses on Shape Characterization and 3D Localization of Internal Organs from Medical Images.

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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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Gul Varol

Ph.D. Student, INRIA

I am interested in human understanding in videos. Particularly, I am exploring the use of synthetic images for learning human-related representations.

Office: N3.004

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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

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.