Michael J. Black height - How tall is Michael J. Black?

Michael J. Black was born on 1962-06- in North Carolina, is an American-born computer scientist. At 58 years old, Michael J. Black height not available right now. We will update Michael J. Black's height soon as possible.

Now We discover Michael J. Black's Biography, Age, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of net worth at the age of 60 years old?

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Michael J. Black Age 60 years old
Zodiac Sign Gemini
Born 1962-06-
Birthday 1962-06-
Birthplace North Carolina
Nationality

We recommend you to check the complete list of Famous People born on 1962-06-. He is a member of famous Computer with the age 60 years old group.

Michael J. Black Weight & Measurements

Physical Status
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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

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Michael J. Black Net Worth

He net worth has been growing significantly in 2021-22. So, how much is Michael J. Black worth at the age of 60 years old? Michael J. Black’s income source is mostly from being a successful Computer. He is from . We have estimated Michael J. Black's net worth , money, salary, income, and assets.

Net Worth in 2022 $1 Million - $5 Million
Salary in 2022 Under Review
Net Worth in 2021 Pending
Salary in 2021 Under Review
House Not Available
Cars Not Available
Source of Income Computer

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Timeline

2018

In 2018, Meshcapade GmbH spun out of his group. The start-up focuses on licensing technology developed at MPI-IS and providing services.

2017

2017–present: In 2017, with the acquisition of Body Labs by Amazon, Black joined Amazon as a Distinguished Amazon Scholar on a part-time basis.

2016

Related to human pose, shape, and activity, Black has contributed to the SURREAL dataset of human motions, the JHMDB dataset of human actions, and the FAUST dataset of 3D body shapes. FAUST received the Dataset Award from the Eurographics Symposium on Geometry Processing (SGP), 2016.

2015

In 2015, he proposed an initiative that has since become Cyber Valley, which aims to make the Stuttgart-Tübingen region of Germany a world leader in AI research and applications. He is on the research consortium's Executive Board and serves as its spokesperson.

2013

In 2013, a team from Black's group spun out Body Labs which commercialized 3D body model technology for the clothing and games industry. Black was a co-founder and investor. Body Labs was acquired by Amazon.com in 2017.

2011

2011–present: In 2011, Black became a Scientific Member of the Max Planck Society and one of the founding directors of the new MPI for Intelligent Systems.

2007

His current work focuses on modeling and estimating human shape and pose from images and video. His team was the first to fit a learned 3D human body model to multi-camera image data at CVPR 2007, under clothing at ECCV 2008, from a single image at ICCV 2009, and from RGB-D data at ICCV 2011.

2005

His early focus on statistical modeling of motion, particularly at motion discontinuities, led to two other prize papers. His work with David Fleet on the "Probabilistic Detection and Tracking of Motion Boundaries" won honorable mention for the Marr Prize at ICCV'99. Black's work with Stefan Roth "On the spatial statistics of optical flow" received honorable mention for the Marr Prize at ICCV 2005.

2000

In the 2000s, Black worked with John Donoghue and others at Brown University to create the technology behind the BrainGate neural prosthetics technology. Black and colleagues developed Bayesian methods to decode neural signals from motor cortex. The team was the first to use Kalman filtering and particle filtering to decode motor cortical ensemble activity.  With these Bayesian decoding methods, the team demonstrated the successful point-and-click control of a computer cursor by a human with paralysis and the decoding of full arm and hand movement in non-human primates.

Black is best known for his work on human motion and shape estimation. With Hedvig Sidenbladh and David Fleet, he introduced the use of particle filtering for tracking 3D articulated human motion. This work was awarded the Koenderink Koenderink Prize for Fundamental Contributions in Computer Vision at ECCV 2000.

2000–2011: In 2000, Black joined the faculty of Brown University as an Associate Professor of Computer Science (with tenure). In 2004, he was promoted to Full Professor.

1993

In 1993, Black and Jepson used mixture models to represent optical flow fields with multiple motions (also called "layered" optical flow). This introduced the use of Expectation Maximization (EM) to the field of computer vision.

1993-2000: In 1993, Black joined the Xerox Palo Alto Research Center (PARC) as a member of research staff. He worked in the Image Understanding Area, led by Daniel Huttenlocher. In 1996, he took over management from Huttenlocher. He started the Digital Video Analysis Area in 1998.  

1992

1992–1993: Black did post-doctoral work at the University of Toronto as an Assistant Professor of Computer Science (Contractually Limited Term Appointment). He was supervised by Allan Jepson. During his time there, he received the Computer Science Students' Union Teaching Award.

1991

A version of this work received the IEEE Outstanding Paper Award at CVPR1991 and the Helmholtz Prize at ICCV 2013 for work that has "stood the test of time".

1989

1989–1992: During this period, Black pursued his PhD at Yale and was supported by a NASA Graduate Fellowship. He completed his PhD at the NASA Ames Research Center in the Human Factors Research Division led by Andrew (Beau) Watson. At Yale, he was advised by P. Anandan and Drew McDermott.

1985

1985–1989: After his bachelor's degree, Black moved to the Bay Area and worked as a software engineer at GTE Government Systems and Advanced Decision Systems (ADS) developing expert systems on the Xerox and Symbolics Lisp machines. During this time, he completed his Master's of Computer Science in Symbolic and Heuristic Computation through the Honors Co-Op Program at Stanford. His advisor was John McCarthy.