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Deep Learning | Project Page |

Deep learning is one of the most fascinating learning techniques. MMLAB formulates novel deep models for various vision tasks such as face recognition, face alignment, pedestrian detection, and person parsing.

Crowd Analysis

Automatically understanding the behaviors of crowd from video sequences is of great interest to the computer vision community, and has drawn more and more attentions in recent years. It has important applications to event recognition, traffic flow estimation, behavior prediction, abnormality detection, and crowd simulation. Womens Metallic Light Weight Lace up LowTop Sneakers Dark Blue Tommy Hilfiger lPn12t0cSY

Face Sketch Synthesis and Recognition

Artists have a fascinating ability to capture the most distinctive characteristics of human faces and depict them on sketches. Although sketches are very different from photos in style and appearance, human beings often can easily recognize a person from his sketch. We design computer programs to also have such amazing abilities. Meadlon dress White Isabel Marant H7GDFa3CW

Photo Quality Assessment based on Aesthetic Perception

MMLAB develops fast and effective computing algorithms which can automatically conduct aesthetic assessment of large scale photo datasets inspired by the criteria and skills adopted by professional photographers. Womens The Jeg Mid Rise Skin TOU Leggings Teddy Smith 0110OUINz

One-Click Internet Image Search

We target on greatly improving user experience of web-based image search engines with extremely simple user interaction. It interprets users’ search intention with the minimum feedback effort: only one click on the query image from a pool retrieved by text-based search. Read More

Face Detection, Alignment, and Recognition

MMLAB develops novel algorithms for automatically locating facial keypoints, aligning face images, and identifying or verifying a person from a digital image or a video stream. Read More

The CUHK Multimedia Lab (MMLab) is one of the pioneering institutes on deep learning. In GPU Technology Conference (GTC) 2016, a world-wide technology summit, our lab is recognized as one of the top ten AI pioneers, and listed together with top research groups in the world (e.g. MIT, Stanford, Berkeley, and Univ. of Toronto). Today, we remain one of the most active research labs in computer vision and deep learning, publishing over 40 papers on top conferences (CVPR/ICCV/ECCV/NIPS) every year. Our lab has a large group of talented students, plenty of computational resources, and steady financial support, and free research environment. We now have multiple openings for senior positions, including tenure-track assistant professors , research assistant professors , and postdoctoral researchers . If you are interested in joining our lab, please don’t hesitate to contact us via email: mmlab_contact@ie.cuhk.edu.hk .

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| Domenick Gabrielli, 81, Ex-Judge On New York's Top Court, Is Dead

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Domenick L. Gabrielli, a prominent upstate jurist who served for a decade as an associate judge of the New York Court of Appeals, the state's highest court, died last Friday at Villa Mary Immaculate Nursing Home in Albany. He was 81 and lived in Albany.

Judge Gabrielli, who was stricken with pneumonia and admitted to St. Peter's Hospital in Albany a month ago, entered the nursing home last Tuesday to convalesce and died of complications arising from the pneumonia, his daughter, Veronica Dumas, said.

In a career that spanned more than 50 years, Mr. Gabrielli, a native of Rochester, was a practicing lawyer, corporation counsel, district attorney and judge who rose from county and children's courts to the State Supreme Court, the Appellate Division and then the Court of Appeals.

A Republican-Conservative, Judge Gabrielli was elected to the Court of Appeals in 1972. Two years later, he was cited by state Republican officials as a possible candidate for lieutenant governor to run with Gov. Malcolm Wilson. In 1978, his was one of seven names submitted to Gov. Hugh L. Carey as candidates for Chief Judge of New York State. Scores of Major Rulings

During his tenure on the high court, Judge Gabrielli participated in scores of major rulings, upholding the constitutionality of state obscenity laws and the New York City landmarks preservation law as well as the creation of a state agency to guide New York City through its fiscal crisis in the mid-1970's. He was a conservative in criminal procedure cases.


In a 1976 decision written by Judge Gabrielli, the court became one of only a few state courts in the nation to uphold the principle of "reverse" or "benign" discrimination -- giving special treatment in jobs and education to minorities -- under certain circumstances. The United States Supreme Court had by then not ruled on the controversial issue.

The judge's dissenting voice was also prominent in many decisions. He voted against the majority in 1976, for example, when it disqualified former Senator Eugene J. McCarthy as an independent Presidential candidate in the state. Judge Gabrielli retired from the bench in 1982 and practiced law in Rochester and Albany until 1992. 'A Lasting Imprint'