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69 results

Michael Black

Michael Black

Director

My research spans Computer Vision, Machine Learning, and Graphics. I focus 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


Andreas Geiger

Andreas Geiger

Professor, University of Tübingen
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


Aamir Ahmad

Aamir Ahmad

Research Group Leader

I am leading the Robot Perception Group at the Perceiving Systems Department. In the project AirCap we have conceptualized and developed a team of micro aerial vehicles (MAVs) for markerless and outdoor human motion capture (MoCap). It is the first system consisting of multiple cooperating aerial robots that can autonomously detect, track and follow a person (subject) in a natural outdoor environment, without the need for any sensor or marker on the subject. After a capture episode, our system's novel back-end reconstructs, with a high level of accuracy, the 4D skeletal pose and body shape of the tracked human subject. The capture, performed by the robotic front-end, includes acquiring image data from the on-board cameras of the MAVs and poses of those MAVs. The back-end uses this data to perform reconstruction. For further information, please visit my group page.

Office: N3.007
+49 7071 601 1816


Cornelia Köhler

Cornelia Köhler

Scientific Coordinator

+49 7071 601 1823


Melanie Feldhofer

Melanie Feldhofer

Department Manager

Office: N3.018
+49 7071 601 1800


Nicole Overbaugh

Nicole Overbaugh

Administrative Assistant

Office: N3.018
+49 7071 601 1800


Yu-Tang Liu

Yu-Tang Liu

Master's Student

Yu Tang, Liu is interest in Robotics and Control System development. His current thesis is working on autonomous blimp navigation using reinforcement learning based methods.


Halil Acet

Halil Acet

Student Assistant

I am studying Aerospace Engineering (M.Sc) at the University of Stuttgart with specialization on control and system engineering and information technology. I am also very interested in the implementation of new technologies such as neural networks, which are mainly used for drones. I am working as a student assistant within Robot Perception Group. My tasks include developing outdoor flight capabilities for a quadrocopter using on-board state estimation, supporting in maintaining other copters and performing experiments. Currently I am working on the project: "Autonomous Blimp Navigation using Model-Based Reinforcement Learning".


Tsvetelina Alexiadis

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: N3.002
+49 7071 601 1805


Nikos Athanasiou

Nikos Athanasiou

Ph.D. Student

Advisor: Michael Black

I am working in the intersection of Natural Language and Computer Vision. I am particularly interested on analyzing the connection between human motion and language.


Michael Bannert

Michael Bannert

Postdoctoral Researcher

Cognitive neuroscientist working at the intersection between biological vision and artificial intelligence

+49 7071 29 89031
+49 7071 29 25011


Simone Behrens

Simone Behrens

Guest Scientist

My research focus is body representation. I am interested in basic theoretical frameworks and mechanisms, but also in disturbed body representation. To this end, I conduct behavioral studies in patients with eating disorders or obesity, but also in healthy people.


Timo Bolkart

Timo Bolkart

Research Scientist

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


Elia Bonetto

Elia Bonetto

Ph.D. Student

I am a Ph.D. student at Max Planck Institute for Intelligent Systems enrolled in the International Max Planck Research School (IMPRS) for Intelligent Systems (IS) program. I am currently researching how robotics and computer vision can be combined to create fully-autonomous robot companions.

Office: N3.008


Arjun Chandrasekaran

Arjun Chandrasekaran

Postdoctoral Researcher

I am a Postdoctoral Researcher in the Perceiving Systems department with Michael Black at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. I received my PhD in Computer Science at Georgia Tech, advised by Devi Parikh. I have also been fortunate to spend summers at Toyota Technological Institute in Chicago (TTIC), Facebook AI Research (FAIR), Curai and Indiana University's Dept. of Psychological and Brain Sciences.


Vassilis Choutas

Vassilis Choutas

Ph.D. Student

Advisor: Michael Black

Ph.D. student interested in modelling the way that humans interact with their environment.


Didem Ergül

Didem Ergül

Student Assistant

+49 7071 601
+49 7071 601 652


Haiwen Feng

Haiwen Feng

Student Assistant

I'm a student assistant supervised by research scientist Dr. Timo Bolkart and Dr. Silvia Zuffi. My work focuses on 3D shape and texture reconstruction and other related things in computer vision and machine learning.


Yao Feng

Yao Feng

Ph.D. Student

Advisor: Michael Black

I joined Max Planck ETH Center for Learning Systems as a Ph.D. student in September 2019, where I am supervised by Michael Black and Marc Pollefeys.


Nima Ghorbani

Nima Ghorbani

Research Engineer

As a research engineer at the Perceiving Systems Department, I work alongside researchers in the field of computer graphics to develop basic tools that would help them with their projects. On a daily basis, I interact with large human motion datasets consisting of human motion capture and 3/4D scans, deep neural networks, and articulated human body models.

Office: N 3.009


Partha Ghosh

Partha Ghosh

Ph.D. Student, IMPRS-IS Scholar

Advisor: Michael Black

I am broadly interested in Generative models (VAEs and GANs). More specifically the conditional versions of them. I view conditional generative models as a means of learning one-to-many mappings. Although such models especially GANs perform a superb density estimation of high dimensional data (images), they are far from perfect. These imperfections induces errors that manifest as spurious correlation (among many others) in the generated data. Although this may not be noticeable readily, it can render such models completely unusable for many applications. I intend to address this issue.

Office: N3 004
+49 7071 601 1800


Mila Gorecki

Mila Gorecki

Student Assistant


Mohamed Hassan

Mohamed Hassan

Ph.D. Student

Advisor: Michael Black

I am a PhD student of Dr. Michael J Black and I am interested in studying Human-Scene Interaction (HSI). How can we develop algorithms to reconstruct, analyze and generate these interactions. How can we jointly study human motion and the surrounding scene and what does each one tells us about the other. This spans many areas such as: 3D reconstruction, 3D learning, human pose estimation, human motion generation, learning on graphs and generative models.

Office: N3.004
+49 70701 601 1800


Galina Henz

Galina Henz

Trial Coordinator

My name is Galina Henz and I'm a Trial Coordinator in the Perceiving System Department. I'm responsible for recruiting participants, planning and conducting captures, as well as data management. So I'm taking care of the capture hall being well organised and ready for trials. I'm staying in touch with our scientist and with their input I'm improving data collection/capturing.

Office: N3.002
+49 7071 601 1803


David Hieber

David Hieber

Student Assistant


Chun-Hao Paul Huang

Chun-Hao Paul Huang

Postdoctoral Researcher


Yinghao Huang

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


Markus Höschle

Markus Höschle

Mechatronics Technical Assistant

Office: N3.002
+49 7071 601 1371


Yilin Ji

Yilin Ji

Ph.D. Student Intern

I'm interested in the interaction between computer vision and machine learning, especially for the real-time and robust detection based on deep neural networks in extreme conditions. I'm also work on learning-based approaches to aerial pose and shape estimation in the project AirCap. I received my master degree in electronics and information engineering at Karlsruhe Institute of Technology in Germany, advised by Prof. Stiefelhagen and my bachelor degree at Harbin Institute of Technology in China. I was a intern at Robert Bosch.


Marilyn Keller

Marilyn Keller

Ph.D. Student

Advisor: Michael Black

I am a Ph.D. student in the Department of Perceiving Systems at the Max Planck Institute for Intelligent Systems, advised by Professors Sergi Pujades and Michael J. Black. My work is focused on modelling the rib-cage from scans as well as its distortion when breathing. This work is part of the larger research project CAMed aiming to create 3D printed custom implants.


Hedvig Kjellström

Hedvig Kjellström

Affiliated Researcher

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


Muhammed Kocabas

Muhammed Kocabas

Ph.D. Student

Advisor: Michael Black

I am interested in computer vision and machine learning with a focus on human motion understanding.


Nikos Kolotouros

Nikos Kolotouros

Ph.D. Student Intern

Visiting PhD Student from University of Pennsylvania.


Mason Landry

Mason Landry

Scanning Systems Engineer

Technician for motion capture and 4D scanning systems.


Haemy Leemasson

Haemy Leemasson

Guest Scientist

My research focuses on the neural basis of social perception and emotion recognition in social scenes. In particular, I examine the complexity of neural circuitry involved in social touch scene processing in healthy adults and how these processes go astray in a clinical population. To address these vital questions, I employ advanced neuroimaging techniques and computational modeling. I am currently a postdoctoral researcher at the computational cognitive neuroscience lab at Johns Hopkins University in the US.


Qianli Ma

Qianli Ma

Ph.D. Student

Advisor: Michael Black

I am a PhD student supervised by Dr. Michael Black and Dr. Siyu Tang. My research lies on the intersection of computer vision, graphics and machine learning. Currently my focus is on developing deep learning algorithms for non-Euclidean domains and their various applications, such as building realistic 3D-mesh based human body models. Especially, I aim to develop novel 3D clothing models.

Office: N3.004


Felipe Mattioni

Felipe Mattioni

Ph.D. Student Intern


Taylor McConnell

Taylor McConnell

Student Assistant


Betty Mohler

Betty Mohler

Affiliated Researcher

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


Gerard Pons-Moll

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


Lea Müller

Lea Müller

Ph.D. Student

Advisor: Michael Black


Ahmed Osman

Ahmed Osman

Ph.D. Student

Advisor: Michael Black

My work spans both the research aspect of creating the world most realistic human body models and the development of computationally efficient and scalable software that enables learning such models from large scale data sets. I completed an MSc in Statistics at Imperial College London, MSc in Artificial Intelligence at the Uni. of Manchester and BEng in Mechatronics and Robotics at the University of Liverpool.

Office: N3.016


Michael Pabst

Michael Pabst

Master's Student Intern


Priyanka Patel

Priyanka Patel

Scientific Programmer


Benjamin Pellkofer

Benjamin Pellkofer

IT Sys Admin

Office: N 3.020
+49 7071 601 1821


Eric Price

Eric Price

Ph.D. Student

Advisor: Michael Black

I am a PhD Student at the department of Perceiving Systems, developing multi-aerial vehicle intelligence for practical research application with prototypes built here at the institute. My current work involves real time adaptive on board computer vision using recurrent deep neural networks.

Office: N3.004


Sergey Prokudin

Sergey Prokudin

Ph.D. Student

I work on developing robust and efficient algorithms for the analysis, synthesis and prediction of complex real-world phenomena. My current research interests are : 1. geometric deep learning for the analysis and synthesis of 3D and 4D scenes; 2. deep probabilistic models for uncertainty quantification; 3. computationally efficient learning algorithms.

Office: N3.004


Sergi Pujades

Sergi Pujades

Guest Scientist

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


Abhinanda Ranjit Punnakkal

Abhinanda Ranjit Punnakkal

Master's Student Intern

Advisor: Raffi Enficiaud

Office: S1.021


Alejandra Quiros-Ramirez

Alejandra Quiros-Ramirez

Guest Scientist

I am in the field of Virtual Humans and Affective Computing. I am interested in what makes us perceive an interacting agent as 'human'. Specifically, I am interested in affectivity and appearance. What does the shape, pose, movement, behavior and style of a person or a virtual human tells us about them? How does the interaction with each other affects our own actions? Furthermore, I study how individual factors (such as culture) influences this perception. On the side from research, I enjoy web technologies! I support 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


Zeynab Razzaghpanah

Zeynab Razzaghpanah

Student Assistant


Nadine Rueegg

Nadine Rueegg

Ph.D. Student

Advisor: Michael Black


Nitin Saini

Nitin Saini

Ph.D. Student


Soubhik Sanyal

Soubhik Sanyal

Ph.D. Student, IMPRS-IS Scholar

Advisor: Michael Black

I am a PhD student at Max Planck Institute for Intelligent Systems. I am currently doing my research work under the supervision of Prof. Michael J Black, in the field of Computer Vision and Machine Learning. Specially my research is focused on 3D modelling of human bodies and faces from multi-modal information. Please visit my google scholar page for an updated list of publications. I did my masters from Indian Institute of Science, Bangalore, India before joining my PhD where my focus was mainly on metric learning, face and object recognition.

Office: N3. 004
+49 70701 601 1800


Daniel Scharstein

Daniel Scharstein

Affiliated Researcher

I am interested in computer vision, in particular image matching, stereo vision, optical flow, and 3D reconstruction. Together with undergraduates I have constructed many computer vision datasets that are used in the well-known Middlebury benchmarks at vision.middlebury.edu.


Cordelia Schmid

Cordelia Schmid

Affiliated Researcher

Humboldt Fellow

Office: N3.003


Paul Soubiran

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.


Duangkamol Srismith

Duangkamol Srismith

Ph.D. Student


Omid Taheri

Omid Taheri

Ph.D. Student

Advisor: Michael Black

I am interested in modeling and capturing the human body and hands motion with a focus on Human-Object Interaction (HOI). More specifically, my research is focused on precise body and hands motion estimation and generation in order to interact, grasp, and use new 3D objects. I am also interested in precise body mocap using multimodal sensors (IMUs, Cameras, Touch Sensors, Flex Sensors, etc) to be able to capture accurate interactions and feedback from the environment.


Rahul Tallamraju

Rahul Tallamraju

Ph.D. Student

I am a PhD student at IIIT Hyderabad, India. I am currently pursuing research on autonomous motion planning for aerial robots at the Max Planck Institute for Intelligent Systems, Tübingen, Germany.


Siyu Tang

Siyu Tang

Guest Scientist

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


Joachim Tesch

Joachim Tesch

Software Engineer, Real-time Graphics (VR/MR)

Office: N.3016


Anne Thaler

Anne Thaler

Guest Scientist

Advisor: Betty Mohler

My current research focuses on people perception. I am interested in how information about biological attributes and personality traits is encoded in human body shape and motion patterns and how the human visual system interprets this information. I also work on how expectations and predictions affect the perceived realism of animated virtual characters, especially when there are inconsistencies introduced by retargeting motion from one person onto the body shape of another. To achieve high ecological validity in my perceptual studies, I use virtual reality technology and realistic biometric body models. I am currently a VISTA post-doc at the Centre for Vision Research at York University in Toronto.


Dimitrios Tzionas

Dimitrios Tzionas

Research Scientist

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


Vitek Valis

Vitek Valis

Student Assistant


Gul Varol

Gul Varol

Affiliated Researcher

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


Jinlong Yang

Jinlong Yang

Postdoctoral Researcher

I'm a postdoctoral researcher at the Max-Planck-Institute for Intelligent Systems. My research focus lies in the area of 3D computer vision and computer graphics, especially non-rigid shape analysis, human body shape modelling and dynamic clothing shape modelling.


Yan Zhang

Yan Zhang

Guest Scientist

My primal research interests are on human behavior analysis, human behavior generation and human-scene interaction. I am currently at ETH Zurich.


Silvia Zuffi

Silvia Zuffi

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

My research focuses on representing the appearance of people and animals 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 and animal body. Previous work focused on color image reproduction, multispectral color imaging, readability of colored text.

Office: 1.A.05