Organizing Committee
Abstract

Computer vision is an inter-disciplinary topic crossing boundaries between computer science, statistics, mathematics, engineering and cognitive science.

Research in computer vision involves the development and evaluation of computational methods for image analysis. This includes the design of new theoretical models and algorithms, and practical implementation of these algorithms using a variety of computer architectures and programming languages. The methods under consideration are often motivated by generative mathematical models of the world and the imaging process. Recent approaches also rely heavily on machine learning techniques and discriminative models such as deep neural networks.

Problems that will be considered in the program include image restoration, image segmentation, object recognition and 3D reconstruction. Current approaches to address these problems draw on a variety of mathematical and computational topics such as stochastic models, statistical methods, differential geometry, signal processing, numerical algorithms and combinatorial optimization. Practical considerations also require the use of a wide variety of computational methods, including techniques that scale to large datasets.

The focus of the program will be on problems that involve modeling, machine learning and optimization. The program will also bridge a gap between theoretical approaches and practical algorithms, involving researchers with a variety of backgrounds.

Confirmed Speakers & Participants

  • Zeynep Akata
    University of Amsterdam
    Feb 24-27, 2019
  • Yali Amit
    University of Chicago
    Feb 4-May 10, 2019
  • Salman Asif
    University of California, Riverside
    Mar 17-23, 2019
  • Mohit Bansal
    UNC Chapel Hill
    Feb 24-27, 2019
  • Richard Baraniuk
    Rice University
    Feb 17-23, 2019
  • Ronen Basri
    Weizmann Institute of Science
    Feb 3-May 10, 2019
  • Alex Berg
    University of North Carolina, Chapel Hill
    Feb 18-22, 2019
  • Tamara Berg
    University of North Carolina, Chapel Hill
    Feb 24-27, 2019
  • Toheeb Biala
    Middle Tennessee State University
    Mar 17-23, 2019
  • Katie Bouman
    Harvard-Smithsonian Center for Astrophysics
    Mar 17-23, 2019
  • Yuri Boykov
    University of Waterloo
    Feb 17-23, 2019; Apr 28-May 4, 2019
  • Ayan Chakrabarti
    Washington University in St. Louis
    Mar 17-23, 2019
  • Nadav Cohen
    Institute for Advanced Study
    Feb 22-22, 2019
  • Eva Comino
    University of Souhern Mississippi
    Feb 17-23, 2019
  • Jerome Darbon
    Brown University
    Apr 29-May 3, 2019
  • Ian Dell'Antonio
    Brown University
    Mar 17-23, 2019
  • S Dhawan
    Central University of Haryana
    Mar 17-23, 2019
  • Jeová Farias Sales Rocha Neto
    Brown university
    Feb 4-May 10, 2019
  • Pedro Felzenszwalb
    Brown University
    Feb 4-May 10, 2019
  • Rob Fergus
    Courant Institute of Mathematical Sciences, New York University
    Feb 17-23, 2019
  • Sanja Fidler
    University of Toronto
    Apr 28-May 4, 2019
  • Katerina Fragkiadaki
    Carnegie Mellon
    Feb 17-23, 2019
  • Bill Freeman
    MIT
    Mar 17-23, 2019
  • Benar Fux Svaiter
    Instituto de Matemática Pura e Aplicada (IMPA)
    Feb 3-Apr 6, 2019; Apr 28-May 11, 2019
  • Tingran Gao
    The University of Chicago
    Feb 4-May 10, 2019; Feb 17-23, 2019
  • Davi Geiger
    Courant Institute, NYU
    Feb 1-Apr 30, 2019
  • Donald Geman
    Johns Hopkins University
    Feb 4-May 10, 2019
  • Stuart Geman
    Brown University
    Feb 4-May 10, 2019
  • Lise Getoor
    University of California, Santa Cruz
    Feb 17-23, 2019
  • Basilis Gidas
    Brown University
    Feb 4-May 10, 2019
  • Anna Gilbert
    University of Michigan
    Mar 17-23, 2019
  • Ioannis Gkioulekas
    Carnegie Mellon University
    Mar 17-23, 2019
  • Tom Goldstein
    University of Maryland
    Feb 17-23, 2019
  • Anna Grim
    Brown University
    Feb 4-May 10, 2019
  • Dorit Hochbaum
    University of California, Berkeley
    Apr 29-May 3, 2019
  • Judy Hoffman
    University of California, Berkeley
    Feb 17-23, 2019
  • Furong Huang
    University of Maryland
    Feb 18-22, 2019
  • Akhlaq Husain
    BML Munjal University
    Mar 17-23, 2019
  • Michal Irani
    Weizmann Institute of Science
    Feb 4-May 10, 2019
  • David Jacobs
    University of Maryland
    Feb 4-May 10, 2019
  • Tina Kapur
    Brigham and Women's Hospital
    Mar 17-23, 2019
  • Abdul Khaliq
    Middle Tennessee State University
    Mar 17-23, 2019
  • Kathlén Kohn
    ICERM
    Aug 27, 2018-Jun 7, 2019
  • Vladimir Kolmogorov
    Institute of Science and Technology (IST)
    Apr 28-May 4, 2019
  • M. Pawan Kumar
    University of Oxford
    Apr 28-May 4, 2019
  • Kyros Kutulakos
    University of Toronto
    Mar 17-23, 2019
  • Henry Kvinge
    Colorado State University
    Feb 17-23, 2019
  • Svetlana Lazebnik
    University of Illinois, Urbana-Champaign
    Feb 20-23, 2019
  • Triet Le
    The National Geospatial-Intelligence Agency
    Feb 24-27, 2019
  • Victor Lempitsky
    Samsung AI Center Moscow
    Apr 28-May 4, 2019
  • Florencia Leonardi
    University of Sao Paulo
    Feb 4-16, 2019
  • Olivier Lezoray
    Cherbourg Institute of Technology and GREYC UMR CNRS
    Apr 28-May 4, 2019
  • Karen Livescu
    Toyota Technological Institute at Chicago
    Feb 17-23, 2019
  • Hiram Lopez
    Clemson University and Autonomous University of Aguascalientes
    Apr 28-May 4, 2019
  • James Martens
    Google DeepMind
    Feb 17-23, 2019
  • Renato Monteiro
    Georgia Tech
    Apr 28-May 4, 2019
  • Raymond Mooney
    The University of Texas at Austin
    Feb 24-27, 2019
  • Sara Motlaghian
    Georgia State University
    Feb 17-23, 2019
  • Lauren O'Donnell
    Harvard University
    Mar 17-23, 2019
  • Roberto Oliveira
    IMPA
    Apr 28-May 4, 2019
  • Carl Olsson
    Lund University
    Apr 28-May 4, 2019
  • Mario Parente
    University of Massachusetts Amherst
    Feb 4-May 10, 2019
  • Majela Pentón Machado
    University Federal of Bahia
    Apr 28-May 4, 2019
  • Chrysanthe Preza
    University of Memphis
    Mar 17-23, 2019
  • Ali Rahimi
    Google
    Feb 17-23, 2019
  • Cynthia Rudin
    Duke University
    Feb 17-23, 2019
  • Kate Saenko
    Boston University
    Feb 17-27, 2019
  • Guillermo Sapiro
    Duke University
    Feb 4-May 10, 2019; Feb 25-26, 2019
  • Carola-Bibiane Schönlieb
    University of Cambridge
    Mar 17-29, 2019
  • Mauricio Sicre
    Universidade Federal da Bahia
    Apr 28-May 4, 2019
  • Amit Singer
    Princeton University
    Mar 17-23, 2019
  • Vinay Singh
    National Institute of Technology, Mizoram
    Apr 28-May 4, 2019
  • Mahdi Soltanolkotabi
    University of Southern California
    Feb 17-23, 2019
  • Hermilo Sánchez-Cruz
    Universidad Autónoma de Aguascalientes
    Apr 28-May 4, 2019
  • Matus Telgarsky
    University of Illinois Urbana-Champaign
    Feb 17-23, 2019
  • Rekha Thomas
    University of Washington
    Apr 28-May 4, 2019
  • Philip Thompson
    Centre de Recherche en Économie et Statistique (CREST-ENSAE)
    Apr 28-May 4, 2019
  • Lei Tian
    Boston University
    Mar 17-23, 2019
  • Naftali Tishby
    Hebrew University
    Feb 17-23, 2019
  • Shubhendu Trivedi
    Toyota Technological Institute at Chicago
    Feb 5-May 31, 2019
  • Alain Trouve
    Ecole Normale Supérieure \
    Feb 4-May 10, 2019
  • Marilyn Vazquez
    ICERM
    Sep 1, 2018-May 31, 2019
  • Olga Veksler
    University of Waterloo
    Feb 17-23, 2019; Apr 28-May 4, 2019
  • Rene Vidal
    Johns Hopkins University
    Feb 17-23, 2019
  • Garret Vo
    Department of Defense
    Feb 25-26, 2019
  • Rachel Ward
    University of Texas at Austin
    Mar 17-23, 2019
  • Daphna Weinshall
    Hebrew University of Jerusalem
    Feb 3-Mar 8, 2019; Apr 15-May 9, 2019
  • Tomer Weiss
    University of California, Los Angeles
    Feb 4-May 10, 2019
  • Yair Weiss
    Hebrew University of Jerusalem
    Apr 28-May 4, 2019
  • Michael Werman
    Hebrew University
    Apr 28-May 4, 2019
  • Eric Xing
    Carnegie Mellon University
    Feb 24-27, 2019
  • Lihi Zelnik-Manor
    Technion - Israel Institute of Technology
    Apr 28-May 4, 2019
  • Rich Zemel
    University of Toronto
    Feb 17-23, 2019
  • Jian-Zhou Zhang
    Sichuan University
    Feb 16-May 4, 2019
  • Guangyao Zhou
    Brown University
    Feb 4-May 10, 2019
  • Rashid Zia
    Brown University
    Mar 17-23, 2019
  • Lilla Zollei
    Harvard University
    Mar 17-23, 2019

Visit dates listed on the participant list may be tentative and subject to change without notice.

Application Information

ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate in one of our semester-long programs. Some funding may be available for travel and lodging. Applications will be accepted up until the start of the semester program and will be considered as long as funds and space are available.

Any graduate student who applies should have research interests that relate to the program topic; a statement of support from the advisor is required. In addition, graduate students will only be considered if they can remain in-residence for a minimum of six weeks.

Postdoctoral Fellowships

Interested in applying for a salaried postdoc position for this program? Applications are accepted via Mathjobs.org (search under “B” for Brown University/ICERM) between June and December in the year prior to the program’s start date.

Your Visit to ICERM

ICERM Facilities
ICERM is located on the 10th & 11th floors of 121 South Main Street in Providence, Rhode Island. ICERM's business hours are 8:30am - 5:00pm during this event. See our facilities page for more info about ICERM and Brown's available facilities.
Traveling to ICERM
ICERM is located at Brown University in Providence, Rhode Island. Providence's T.F. Green Airport (15 minutes south) and Boston's Logan Airport (1 hour north) are the closest airports. Providence is also on Amtrak's Northeast Corridor. In-depth directions and transportation information are available on our travel page.
Lodging/Housing
Visiting ICERM for longer than a week-long workshop? ICERM staff works with participants to locate accommodations that fit their needs. Since short-term furnished housing is in very high demand, take advantage of the housing options ICERM may recommend. Contact housing@icerm.brown.edu for more details.
Childcare/Schools
Those traveling with family who are interested in information about childcare and/or schools should contact housing@icerm.brown.edu.
Family Support
With a recent gift from Microsoft Research, we are pleased to announce that there are fellowships available to assist in defraying dependent care costs. A separate application for this fellowship will be provided to those that have accepted an invitation to participate in an NSF-funded research program. Fellowship decisions will be made based on the justification and the availability of funds.
Technology Resources
Wireless internet access and wireless printing is available for all ICERM visitors. Eduroam is available for members of participating institutions. Thin clients in all offices and common areas provide open access to a web browser, SSH terminal, and printing capability. See our Technology Resources page for setup instructions and to learn about all available technology.
Discrimination and Harassment Policy
ICERM is committed to creating a safe, professional, and welcoming environment that benefits from the diversity and experiences of all its participants. The Brown University "Discrimination and Workplace Harassment Policy" applies to all ICERM participants and staff. Participants with concerns or requests for assistance on a discrimination or harassment issue should contact the ICERM Director, who is the responsible employee at ICERM under this policy.
Exploring Providence
Providence's world-renowned culinary scene provides ample options for lunch and dinner. Neighborhoods near campus, including College Hill Historic District, have many local attractions. Check out the map on our Explore Providence page to see what's near ICERM.

Visa Information

Contact visa@icerm.brown.edu for assistance.

Need a US Visa?
J-1 visa requested via ICERM staff
Reimbursable
B-1 or Visa Waiver Business (WB) –if you already have either visa – contact ICERM staff for a visa specific invitation letter.
Not Reimbursable
B-2 or Visa Waiver Tourist (WT)
Already in the US?

F-1 and J-1 not sponsored by ICERM: obtain a letter approving reimbursement from the International Office of your home institution PRIOR to travel.

H-1B holders do not need letter of approval.

All other visas: alert ICERM staff immediately about your situation.

Financial Support

Acceptable Costs
  • 1 roundtrip between your home institute and ICERM
  • Flights on U.S. or E.U. airlines – economy class to either Providence airport (PVD) or Boston airport (BOS)
  • Ground Transportation to and from airports and ICERM.
Unacceptable Costs
  • Flights on non-U.S. or non-E.U. airlines
  • Seats in economy plus, business class, or first class
  • Change ticket fees of any kind
  • Multi-use bus passes
  • Meals or incidentals
Advance Approval Required
  • Personal car travel to ICERM from outside New England
  • Multiple-destination plane ticket; does not include layovers to reach ICERM
  • Arriving or departing from ICERM more than a day before or day after the program
  • Multiple trips to ICERM
  • Rental car to/from ICERM
  • Flights on a Swiss, Japanese, or Australian airlines
  • Arriving or departing from airport other than PVD/BOS or home institution's local airport
  • 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
Reimbursement Request Form

https://icerm.brown.edu/money/

Refer to the back of your ID badge for more information. Checklists are available at the front desk.

Reimbursement Tips
  • Scanned original receipts are required for all expenses
  • Airfare receipt must show full itinerary and payment
  • ICERM does not offer per diem or meal reimbursement
  • Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
  • Keep all documentation until you receive your reimbursement!
Reimbursement Timing

6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.

Reimbursement Deadline

Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.

Associated Semester Workshops

Computational Imaging