ICERM - Computer Vision

Semester Overview
Semester Participants
Semester Schedule
Semester Workshops
Publications

Semester Overview
Semester Participants
Semester Schedule
Semester Workshops
Publications

Computer Vision (Feb 4 - May 10, 2019)

Organizing Committee

Yali Amit
University of Chicago
Ronen Basri
Weizmann Institute of Science
Alex Berg
University of North Carolina, Chapel Hill
Tamara Berg
University of North Carolina, Chapel Hill
Pedro Felzenszwalb
Brown University
Benar Fux Svaiter
Instituto de Matemática Pura e Aplicada (IMPA)
Stuart Geman
Brown University
Basilis Gidas
Brown University
David Jacobs
University of Maryland
Olga Veksler
University of Waterloo

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

Talks will be presented virtually or in-person as indicated in the schedule below.

Ben Abbatematteo
Brown University

Feb 20-22, 2019
Stephon Alexander
Brown University

Mar 18-22, 2019
Eman Alruwaili
Kent State University

Mar 17-23, 2019
Maicon Alves
Federal University of Santa Catarina

Apr 28-May 4, 2019
Manuchehr Aminian
Colorado State University

Feb 17-23, 2019
Yali Amit
University of Chicago

Feb 17-23, 2019; Apr 28-May 4, 2019
Saed Asaly
Ariel University

Feb 17-27, 2019
Brian Avants
University of Virginia

May 9-11, 2019
Yuval Bahat
Technion - Israel Institute of Technology

Feb 17-23, 2019
Zhe Bai
Lawrence Berkeley National Lab

Mar 17-23, 2019
Weston Baines
Texas A&M University

Mar 17-23, 2019
Richard Baraniuk
Rice University

Feb 17-23, 2019
Alessandro Barone
Emory University

Feb 17-23, 2019
Alberto Bartesaghi
Duke University

Mar 17-21, 2019
Theresa Barton
Brown University

Feb 5-May 10, 2019
Arslan Basharat
Kitware

Feb 25-26, 2019
Ronen Basri
Weizmann Institute of Science

Feb 14-May 3, 2019
Kevin Beale
Georgia Institute of Technology

Mar 17-23, 2019
Muzammil Behzad
University of Oulu

Feb 2-May 12, 2019
mouhacine Benosman
MERL

Feb 18-22, 2019
Alex Berg
University of North Carolina, Chapel Hill

Feb 17-23, 2019
Andrea Bertozzi
UCLA

Feb 24-27, 2019
Ce Bian
University of Texas at Arlington

Apr 28-May 4, 2019
Matthew Blaschko
KU Leuven

Apr 28-May 4, 2019
Ralph Bording
Alabama A&M University

Mar 17-23, 2019
Carlos Borges
University of Central Florida

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
Billy Braithwaite
University of Jyväskylä

Mar 17-23, 2019; Apr 28-May 4, 2019
Vinicius Brei
Harvard University

Feb 25-26, 2019
Nathan Cahill
Rochester Institute of Technology

Feb 18-22, 2019
Luca Calatroni
CMAP, École Polytechnique

Mar 17-23, 2019
Ayan Chakrabarti
Washington University in St. Louis

Mar 17-23, 2019
Li Cheng
University of Alberta

Mar 17-23, 2019
Julianne Chung
Virginia Tech

Mar 17-23, 2019
Victor Churchill
Dartmouth College

Mar 17-23, 2019
Jorio Cocola
Rice University

Feb 18-22, 2019
Nadav Cohen
Institute for Advanced Study

Feb 22, 2019
Michael Cohen
Facebook

Mar 17-23, 2019
Eva Comino
University of Souhern Mississippi

Feb 17-23, 2019
Matt Corsaro
Brown University

Feb 18-23, 2019
Hema D
Lady Doak College

Apr 28-May 4, 2019
David da Costa de Pinho
UENF

Jan 27-Feb 16, 2019
Steve Damelin
University of Michigan

Mar 17-23, 2019; Apr 28-May 4, 2019
Jerome Darbon
Brown University

Apr 29-May 3, 2019
Trevor Darrell
University of California, Berkeley

Feb 25-26, 2019
Akira Date
University of Miyazaki

Apr 24-May 7, 2019
Joseph Daws
University of Tennessee, Knoxville

Feb 17-23, 2019
Luke Decker
The University of Texas at Austin

Mar 17-23, 2019
Tali Dekel
Google

Feb 18-22, 2019
Ian Dell'Antonio
Brown University

Mar 17-23, 2019
Eren Derman
Brown University

Feb 18-21, 2019
Deshana Desai
New York University

Feb 18-22, 2019; Mar 17-28, 2019
Agnès Desolneux
CMLA

Mar 17-23, 2019
S Dhawan
Central University of Haryana

Mar 17-23, 2019
Benedict Diederich
IPHT Leibniz Institute of Photonic Technology's

Mar 17-23, 2019
Keiko Dow
D'Youville College

Feb 18-22, 2019
Timothy Duff
Georgia Institute of Technology

Jan 27-Feb 13, 2019
Jared Dunnmon
Stanford University

Feb 24-27, 2019
Jonathan Eckstein
Rutgers University

Apr 28-May 4, 2019
Ailita Eddy
Brown University

May 10, 2019
Hasan Eruslu
University of Delaware

Feb 17-23, 2019
Malena Espanol
The University of Akron

Mar 17-23, 2019
Ricardo Fabbri
Rio de Janeiro State University – UERJ, Polytechnic Institute at Nova Friburgo – IPRJ, Graduate program CAPES 6

Jan 24-Feb 17, 2019
Fariba Fahroo
DARPA

May 2-3, 2019
Hongyi Fan
Brown University

Jan 28-Feb 15, 2019
Zhou Fang
Brown University

Feb 4-May 10, 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
Alessandro Foi
Tampere University

Mar 18-22, 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 25-Mar 19, 2019
Tingran Gao
The University of Chicago

Feb 4-May 10, 2019; Feb 17-23, 2019
Guillaume Garrigos
Université Paris-Diderot

Apr 28-May 4, 2019
Davi Geiger
Courant Institute, NYU

Feb 1-May 7, 2019
Stuart Geman
Brown University

Feb 4-May 10, 2019
Basilis Gidas
Brown University

Feb 4-May 10, 2019
Tom Goldstein
University of Maryland

Feb 17-23, 2019
Ming Gong
University of Dayton

Feb 17-23, 2019
Nakul Gopalan
Brown University

Feb 19, 2019; Feb 25-26, 2019
Marissa Gray
Brown University

May 10, 2019
Daniel Greenfeld
Weizmann Institute of Science

Apr 28-May 4, 2019
Alexander Grigo
University of Oklahoma

Apr 28-May 11, 2019
Qi Guo
Harvard University

Mar 17-23, 2019
Sofia Guzzetti
Emory University

Feb 17-23, 2019
Benjamin Haeffele
Johns Hopkins University

Feb 17-23, 2019
Keaton Hamm
University of Arizona

Apr 28-May 4, 2019
Shermin Hamzehei
University of Massachusetts, Amherst

Feb 4-May 10, 2019
Tal Hassner
Open University of Israel

Feb 17-23, 2019
Jonathan Hauenstein
University of Notre Dame

Feb 10-14, 2019
Kathryn Heal
Harvard University

Feb 11-15, 2019; Feb 18-22, 2019
Dorit Hochbaum
University of California, Berkeley

Apr 30-May 4, 2019
Fumi Honda
Brown University

Feb 20, 2019
Zhiting Hu
Carnegie Mellon University

Feb 24-26, 2019
Furong Huang
University of Maryland

Feb 17-23, 2019
Shao Ran Huang
Brown University

Feb 18-22, 2019
Zhishen Huang
University of Colorado Boulder

Feb 17-23, 2019
Akhlaq Husain
BML Munjal University

Mar 17-23, 2019
Sorin Istrail
Brown University

Feb 18-19, 2019
David Jacobs
University of Maryland

Feb 4-May 4, 2019
Jiahua Jiang
Virginia Tech

Mar 17-23, 2019
Ajinkya Kadu
Utrecht University

Mar 17-23, 2019
Fredrik Kahl
Lund University

Apr 28-May 4, 2019
Ulugbek Kamilov
Washington University in St. Louis

Mar 17-23, 2019
Tina Kapur
Brigham and Women's Hospital, Harvard Medical School

Mar 17-23, 2019
Numair Khan
Brown University

Feb 5-May 10, 2019
Joe Kileel
Princeton University

Jan 27-30, 2019
Benjamin Kimia
Brown University

Jan 28-Feb 15, 2019; Feb 17-23, 2019; Mar 17-23, 2019; Apr 28-May 4, 2019
Philip Klein
Brown University

Apr 29-May 3, 2019
Adam Klivans
University of Texas at Austin

Mar 17-23, 2019
Kathlén Kohn
ICERM

Jan 15-May 3, 2019; Jan 28-Feb 15, 2019
Vladimir Kolmogorov
Institute of Science and Technology (IST)

Apr 28-May 4, 2019
Simon Korman
The Weizmann Institute

Apr 28-May 4, 2019
Shahar Kovalsky
Duke University

Feb 17-23, 2019
Bala Krishnamoorthy
Washington State University

Apr 28-May 4, 2019
Shira Kritchman
The Weizmann Institute of Science

Feb 11-May 8, 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 17-23, 2019; Feb 24-27, 2019
Han Cheng Lee
Brown University

Feb 18-May 10, 2019
Taehee Lee
Brown University

Feb 18-22, 2019
Florencia Leonardi
University of Sao Paulo

Feb 17-23, 2019
Anton Leykin
Georgia Tech

Feb 6-10, 2019
Qiuwei Li
Colorado School of Mines

Apr 28-May 4, 2019
Simin Li
Tsinghua University

Feb 17-23, 2019
Xiao Li
University of Southern California

Mar 17-23, 2019
En-Bing Lin
Central Michigan University

Apr 28-May 4, 2019
Shuyang Ling
New York University

Mar 17-23, 2019
Drew Linsley
Brown University

Feb 17-23, 2019
Feng Liu
Harvard Medical School

Apr 29-May 3, 2019
Karen Livescu
Toyota Technological Institute at Chicago

Feb 17-23, 2019
Hiram López
Cleveland State University

Apr 28-May 4, 2019
Yun Lu
Kutztown University

Apr 28-May 4, 2019
Anna M Grim
Brown University

Feb 4-May 10, 2019
Ziyin Ma
Brown University

Feb 18-May 10, 2019
Sepideh Mahabadi
Toyota Technological Institute at Chicago (TTIC)

Apr 28-May 4, 2019
Subhransu Maji
University of Massachusetts, Amherst

Feb 17-23, 2019
Andreas Mang
University of Houston

Apr 28-May 4, 2019
James Martens
Google DeepMind

Feb 17-23, 2019
Michael Patrick Martin
Johns Hopkins University

Feb 17-23, 2019
James Mathews
Memorial Sloan Kettering Cancer Center

Feb 8-15, 2019
Azita Mayeli
The Graduate Center and QCC, CUNY

Apr 28-May 4, 2019
Jacob McCord
National Geospatial-Intelligence Agency

Feb 18-22, 2019; Feb 25-26, 2019
F. Patricia Medina
Worcester Polytechnic Institute

Feb 6-May 10, 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
Seyedahmad Mousavi
University of Maryland, Baltimore County

Mar 17-23, 2019; Apr 28-May 4, 2019
Reshma Munbodh
Alpert Medical School of Brown University

Feb 18-22, 2019; Mar 18-22, 2019; May 10, 2019
Cristina Negoita
Oregon Institute of Technology

Mar 17-23, 2019
Kseniia Nepeina
Research Station RAS

Mar 17-23, 2019
Michael Northington
Georgia Institute of Technology

Feb 10-May 11, 2019
Ewa Nowara
Rice University

Mar 17-23, 2019; Apr 28-May 4, 2019
Lauren O'Donnell
Harvard University

Mar 17-23, 2019
Carl Olsson
Lund University

Apr 28-May 4, 2019
Augustine Osagiede
University of Benin

Apr 28-May 4, 2019
Tomas Pajdla
Czech Technical University in Prague

Feb 6-23, 2019; Apr 28-May 4, 2019
Ambar Pal
Johns Hopkins University

Feb 17-23, 2019
Mario Parente
University of Massachusetts Amherst

Feb 3-Apr 23, 2019
Jaehee Park
CZ Biohub

Mar 17-23, 2019
Majela Pentón Machado
University Federal of Bahia

Apr 28-May 4, 2019
Andrew Peterson
Brown University

Feb 19-22, 2019
Armenak Petrosyan
Oak Ridge National Laboratory

Feb 17-23, 2019
Dimitris Pinotsis
University of London — City and MIT

Feb 17-23, 2019
Farhad Pourkamali Anaraki
University of Massachusetts Lowell

Feb 17-23, 2019
Pranjal Prasad
Virginia Tech

Apr 28-May 4, 2019
Gabriel Provencher Langlois
Brown University

Apr 29-May 3, 2019
Andrew Pryhuber
University of Washington

Apr 28-May 4, 2019
Jing Qin
Montana State University

Mar 17-23, 2019; Apr 28-May 4, 2019
Qing Qu
New York University

Feb 17-23, 2019; Mar 17-23, 2019; Apr 28-May 4, 2019
Margaret Regan
University of Notre Dame

Feb 10-14, 2019
Daniel Reichman
Princeton University

Apr 28-May 4, 2019
Viktor Reshniak
Oak Ridge National Laboratory

Feb 17-23, 2019; Mar 17-23, 2019
michael roberts
Cambridge University

Feb 24-26, 2019
Ronitt Rubinfeld
Massachusetts Institute of Technology

Apr 29-May 1, 2019
Michael Ruddy
North Carolina State University

Feb 10-16, 2019
Cynthia Rush
Columbia University

Apr 28-May 4, 2019
Kate Saenko
Boston University

Feb 17-27, 2019
Ziad Saleh
Brown University

May 10, 2019
Ali Salehi
University of Memphis

Feb 17-23, 2019
Hermilo Sánchez-Cruz
Universidad Autónoma de Aguascalientes

Apr 28-May 4, 2019
Guillermo Sapiro
Duke University

Feb 24-27, 2019
Thomas Serre
Brown University

Feb 17-23, 2019
Ningyu Sha
Michigan State University

Apr 28-May 4, 2019
Hanieh Shabanian
University of Memphis

Feb 17-23, 2019
Yeonjong Shin
Brown University

Apr 29-May 3, 2019
Mauricio Sicre
Universidade Federal da Bahia

Apr 28-May 4, 2019
Hava Siegelmann
DARPA

Feb 25-Mar 26, 2019
Amit Singer
Princeton University

Mar 17-23, 2019
Sudipta Sinha
Microsoft Research

Apr 29-May 3, 2019
Mahdi Soltanolkotabi
University of Southern California

Feb 17-23, 2019
Ömer Sümer
University of Tubingen

Feb 10-Apr 27, 2019
Jasper Tan
Rice University

Mar 17-23, 2019
Osvaldo Tapia Dueñas
Universidad Autonoma de Aguascalientes

Apr 28-May 4, 2019
Amara Tariq
Forman Christian College (A Chartered University)

Feb 17-23, 2019
Gabriel Taubin
Brown University

Feb 18-May 10, 2019
Matus Telgarsky
University of Illinois Urbana-Champaign

Feb 17-23, 2019
Rekha Thomas
University of Washington

Apr 28-May 4, 2019
Lei Tian
Boston University

Mar 17-23, 2019
Naftali Tishby
Hebrew University

Feb 17-23, 2019
James Tompkin
Brown University

Feb 4-May 10, 2019
Rob Tovey
University of Cambridge

Mar 17-23, 2019
Matthew Trager
NYU

Feb 11-15, 2019; May 2-3, 2019
Shubhendu Trivedi
ICERM

Oct 4, 2018-May 31, 2019
Nick Tustison
University of Virginia

May 9-11, 2019
Eli Upfal
Brown University

Feb 21, 2019
Marilyn Vazquez Landrove
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; Feb 24-27, 2019
Garret Vo
Department of Defense

Feb 25-26, 2019
Charles Wampler
General Motors

Feb 10-13, 2019
Li Wang
University of Texas at Arlington

Mar 17-23, 2019; Apr 28-May 3, 2019
Dong Wang
University of Utah

Mar 17-23, 2019
Ying Wang
University of Oklahoma

Feb 3-May 11, 2019
Haixu Wang
Florida State University

Feb 17-23, 2019
Daphna Weinshall
Hebrew University of Jerusalem

Feb 3-Mar 8, 2019; Apr 15-May 9, 2019
Yair Weiss
Hebrew University of Jerusalem

Apr 28-May 4, 2019
Tomer Weiss
Wayfair

Feb 4-May 10, 2019
William Wells
Harvard Medical School

Mar 18-22, 2019
Buren Wells
University of Alabama in Huntsville

Feb 17-23, 2019
Michael Werman
Hebrew University

Apr 28-May 4, 2019
Huiwen Wu
University of California, Irvine

Apr 28-May 4, 2019
Yangyang Xu
Rensselaer Polytechnic Institute

Apr 28-May 4, 2019
Ming Yan
Michigan State University

Apr 28-May 4, 2019
Neda Yazdianpour
Georgia state university

Feb 17-23, 2019
Rujie Yin
Verily

Feb 22, 2019
JINKYU YU
KAIST

Apr 28-May 4, 2019
Rich Zemel
University of Toronto

Feb 17-23, 2019
An Zhang
Harvard University

Feb 24-27, 2019
Jian-Zhou Zhang
Sichuan University

Feb 9-May 4, 2019
Zhengwu Zhang
University of Rochester

Feb 17-23, 2019; Mar 17-23, 2019
Fan Zhang
Harvard Medical School

Feb 17-23, 2019
Guangyao Zhou
Brown University

Jan 1-May 4, 2019
Wenjin Zhou
UMass Lowell

Mar 18-22, 2019
Zicong Zhou
University of Texas at Arlington

Mar 17-23, 2019
Hao Zhou
University of Maryland

Feb 17-23, 2019
Zhihui Zhu
Johns Hopkins University

Mar 17-23, 2019; Apr 28-May 4, 2019
Xueyu Zhu
University of Iowa

Mar 17-23, 2019
Lingjiong Zhu
Florida State University

Feb 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.

Semester Schedule

Monday, February 4, 2019

Time	Event	Location	Materials
9:00 - 4:30pm EST	Computer Vision Check-In/Registration

Tuesday, February 5, 2019

Time	Event	Location
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	ICERM Welcome and Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 5:00pm EST	Program Overview Meeting	11th Floor Lecture Hall

Wednesday, February 6, 2019

Time	Event	Location
1:30 - 2:30pm EST	Spring 2019 Organizer Meeting with ICERM Directorate	11th Floor Conference Room
2:30 - 3:30pm EST	Graduate Student and Postdoc Introductions	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, February 7, 2019

Time	Event	Location
10:00 - 11:00am EST	Research Talk - Pedro Felzenszwalb, Brown University
12:00 - 1:00pm EST	Grad Student/Postdoc Meeting with Directorate	11th Floor Conference Room
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Friday, February 8, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Monday, February 11, 2019

Time	Event	Location	Materials
2:00 - 4:00pm EST	Computer Vision and Algebraic Vision Introduction - Everybody participating will be encouraged to present themselves, their field, and their favorite unsolved problem in just 2 minutes. We will conclude with a few selected and short talks from both communities to both communities.	11th Floor Lecture Hall
4:00 - 5:30pm EST	Computer Vision Welcome Reception	11th Floor Collaborative Space

Tuesday, February 12, 2019

Time	Event	Location
10:30 - 11:30am EST	Geometry and Machine Learning Panel	11th Floor Lecture Hall
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Mentoring Tea	11th Floor Collaborative Space

Wednesday, February 13, 2019

Time	Event	Location
2:30 - 3:30pm EST	Pedro Felzenszwalb Problem Session	10th Floor Collaborative Space
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
3:30 - 3:40pm EST	Group Photo: Algebraic Vision Research Cluster	11th Floor Collaborative Space

Thursday, February 14, 2019

Time	Event	Location
10:00 - 11:00am EST	ICERM Generative Models Discussion Group	10th Floor Collaborative Space
1:00 - 1:30pm EST	Shape from Shading - Short Talk - Kathryn Heal, Harvard University	11th Floor Lecture Hall
1:30 - 1:45pm EST	Informal Short Talk - Davi Geiger, Courant Institute, NYU	11th Floor Lecture Hall
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Friday, February 15, 2019

Time	Event	Location
3:00 - 3:15pm EST	Short Talk - Patricia Medina, WPI	11th Floor Lecture Hall
3:30 - 4:00pm EST	Closing Panel & Future Collaboration, Algebraic Vision Research Cluster	11th Floor Lecture Hall
4:00 - 4:30pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Monday, February 18, 2019

Time	Event	Location
8:30 - 8:55am EST	Registration - ICERM 121 South Main Street, Providence RI 02903	11th Floor Collaborative Space
8:55 - 9:00am EST	Welcome - ICERM Director	11th Floor Lecture Hall
9:00 - 9:45am EST	Learning spoken concepts from unlabeled audio-visual data - Karen Livescu, TTI-Chicago	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Old-School Computer Vision Teaching Modern Deep Networks - Tal Hassner, The Open University of Israel	11th Floor Lecture Hall
11:30 - 12:15pm EST	Strong-Weak Adversarial Domain Adaptation - Kate Saenko, Boston University	11th Floor Lecture Hall
12:30 - 2:30pm EST	Break for Lunch / Free Time
2:30 - 3:15pm EST	Stochastic Video Generation with a Learned Prior - Rob Fergus, NYU & Facebook	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
3:30 - 4:15pm EST	Learning to Optimize Multigrid PDE Solvers - Ronen Basri, Weizmann Institute of Science	11th Floor Lecture Hall
5:00 - 6:30pm EST	Welcome Reception	11th Floor Collaborative Space

Tuesday, February 19, 2019

Time	Event	Location
9:00 - 9:45am EST	Analyzing Optimization in Deep Learning via Trajectories - Nadav Cohen, Institute for Advanced Study	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Mathematics of Deep Learning - Rene Vidal, Johns Hopkins University	11th Floor Lecture Hall
11:30 - 12:15pm EST	Towards Joint Understanding of Images and Language - Svetlana Lazebnik, University of Illinois at Urbana-Champaign	11th Floor Lecture Hall
12:30 - 2:30pm EST	Break for Lunch / Free Time
2:30 - 3:15pm EST	Task2Vec- Task Embedding for Model Recommendation - Subhransu Maji, Umass Amherst	11th Floor Lecture Hall
3:30 - 5:00pm EST	Poster Session	11th Floor Collaborative Space

Wednesday, February 20, 2019

Time	Event	Location
9:00 - 9:45am EST	Learning with Little Data - Richard Zemel, Vector Institute, Toronto	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Mad Max - Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University	11th Floor Lecture Hall
11:30 - 12:15pm EST	Accelerating atomic-scale calculations with machine learning - Andrew Peterson, School of Engineering, Brown University	11th Floor Lecture Hall
12:30 - 12:40pm EST	Group Photo	11th Floor Lecture Hall
12:40 - 2:30pm EST	Break for Lunch / Free Time
2:30 - 3:15pm EST	A theoretical look at adversarial examples and dataset poisoning - Tom Goldstein, University of Maryland	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EST	Panel Discussion	11th Floor Lecture Hall

Thursday, February 21, 2019

Time	Event	Location
9:00 - 9:45am EST	The K-FAC method for neural network optimization - James Martens, DeepMind	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Gradient descent aligns the layers of deep linear networks - Matus Telgarsky, University of Illinois Urbana-Champaign	11th Floor Lecture Hall
11:30 - 12:15pm EST	The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers - Naftali Tishby, Hebrew University of Jerusalem	11th Floor Lecture Hall
12:30 - 2:30pm EST	Break for Lunch / Free Time
2:30 - 3:15pm EST	On The Power of Curriculum Learning in Training Deep Networks - Daphna Weinshall, Hebrew University of Jerusalem	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EST	Reconstructing Animals - David Jacobs, University of Maryland	11th Floor Lecture Hall

Friday, February 22, 2019

Time	Event	Location
9:00 - 9:45am EST	Over-parameterized nonlinear learning - Gradient descent follows the shortest path - Mahdi Soltanolkotabi, University of Southern California	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Learning Spatial Common Sense with Geometry-Aware Deep Networks - Katerina Fragkiadaki, Carnegie Mellon University	11th Floor Lecture Hall
11:30 - 12:15pm EST	Tensorial Neural Networks - Generalization of Neural Networks and Application to Model Compression - Furong Huang, University of Maryland	11th Floor Lecture Hall
12:30 - 2:30pm EST	Break for Lunch / Free Time
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Monday, February 25, 2019

Time	Event	Location
8:30 - 8:55am EST	Registration - ICERM 121 South Main Street, Providence RI 02903	11th Floor Collaborative Space
8:55 - 9:00am EST	Welcome - ICERM Director	11th Floor Lecture Hall
9:00 - 9:45am EST	Data Programming for Imaging Problems - Leveraging Domain Expertise, Auxiliary Modalities, and Multiple Tasks - Jared Dunnmon, Stanford University	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Jointly Generating Image Captions to Aid Visual Question Answering - Raymond Mooney, The University of Texas at Austin	11th Floor Lecture Hall
11:30 - 12:15pm EST	Uncertainty quantification in graph-based classification of high dimensional data - Andrea Bertozzi, UCLA	11th Floor Lecture Hall
12:30 - 2:30pm EST	Break for Lunch / Free Time
2:30 - 3:15pm EST	Geometric Deep Learning for Monocular Object Orientation Estimation - Rene Vidal, Johns Hopkins University	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EST	Medical Image Report Generation and Beyond - Zhiting Hu, Carnegie Mellon University	11th Floor Lecture Hall
5:00 - 6:30pm EST	Welcome Reception	11th Floor Collaborative Space

Tuesday, February 26, 2019

Time	Event	Location
9:00 - 9:45am EST	Adding Geometry to Learning - Guillermo Sapiro, Duke University	11th Floor Lecture Hall
10:00 - 10:30am EST	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EST	Say What You Want to Find - Query-based Search in Images and Video - Kate Saenko, Boston University	11th Floor Lecture Hall
11:30 - 11:40am EST	Group Photo	11th Floor Lecture Hall
11:40 - 1:30pm EST	Break for Lunch / Free Time
1:30 - 2:15pm EST	View-Invariant Change Captioning - Trevor Darrell, University of California, Berkeley	11th Floor Lecture Hall
2:30 - 3:15pm EST	Understanding hyperspectral images of planetary surfaces - Mario Parente, University of Massachusetts Amherst	11th Floor Lecture Hall
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EST	Explainable Query Refinement and Overhead Imagery Analytics - Arslan Basharat, Kitware	11th Floor Lecture Hall

Wednesday, February 27, 2019

Time	Event	Location	Materials
9:00 - 10:00am EST	Professional Development: Ethics I - Mandatory for all NSF funded Graduate Students and Postdocs	11th Floor Conference Room

Thursday, February 28, 2019

Time	Event	Location
10:00 - 11:00am EST	ICERM Generative Models Discussion Group: Tutorial on Probabilistic Programming - Prof. Daniel Ritchie, Brown University	10th Floor Classroom
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Friday, March 1, 2019

Time	Event	Location
12:00 - 12:20pm EST	Grad Student Post Doc Seminar: A Consistent Density-based Clustering Algorithm and its Application to Microstructure Image Segmentation - Marilyn Vazquez, ICERM	11th Floor Conference Room
12:30 - 12:50pm EST	Grad Student Post Doc Seminar: Deep learning in 3D LiDAR point clouds - F. Patricia Medina, WPI	11th Floor Conference Room
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Monday, March 4, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, March 5, 2019

Time	Event	Location
10:00 - 11:00am EST	ICERM Generative Models Discussion Group: Overview of Deep Generative Models and Discussion - Guangyao Zhou, Brown University	11th Floor Lecture Hall
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, March 6, 2019

Time	Event	Location	Materials
9:00 - 10:00am EST	Professional Development: Ethics II - Mandatory for all NSF funded Graduate Students and Postdocs	11th Floor Conference Room
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, March 7, 2019

Time	Event	Location	Materials
2:00 - 3:20pm EST	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EST	Coffee/Tea Break	11th Floor Collaborative Space

Friday, March 8, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EST	Coffee/Tea Break	10th Floor Collaborative Space

Monday, March 11, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, March 12, 2019

Time	Event	Location
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club	11th Floor Conference Room
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, March 13, 2019

Time	Event	Location	Materials
9:00 - 10:00am EDT	Professional Development: Papers and Journals	ICERM 11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, March 14, 2019

Time	Event	Location
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: Flow-based Generative Models and Discussion - Shubhendu Trivedi, ICERM	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, March 15, 2019

Time	Event	Location
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar: Weighted Belief Propagation in the Max-Product Algorithm - Anna Grim, Brown University	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar: Spontaneous Micro-expression Recognition - Muzammil Behzad, University of Oulu	11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, March 18, 2019

Time	Event	Location
8:30 - 8:55am EDT	Registration - ICERM 121 South Main Street, Providence RI 02903	11th Floor Collaborative Space
8:55 - 9:00am EDT	Welcome - ICERM Director	11th Floor Lecture Hall
9:00 - 9:45am EDT	Towards Computational Imaging Systems that Optimize Themselves - Kyros Kutulakos, University of Toronto	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Computational challenges in cryo-electron microscopy - Amit Singer, Princeton University	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Recovering Movies of Black Holes by Expanding the Event Horizon Telescope to Space - Katie Bouman, Harvard-Smithsonian Center for Astrophysics	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Sparse Features and MRI With and Without Images - William Mercer Wells, Harvard Medical School	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	Novel analyses of diffusion MRI fiber tractography to study the brain's connections in health and disease - Lauren O'Donnell, Harvard Medical School	11th Floor Lecture Hall
5:00 - 6:30pm EDT	Welcome Reception	11th Floor Collaborative Space

Tuesday, March 19, 2019

Time	Event	Location
9:00 - 9:20am EDT	Space-variant directional regularisation for image restoration problem - Luca Calatroni, CMAP, École Polytechnique	11th Floor Lecture Hall
9:30 - 9:50am EDT	A Consistent Density-Based Clustering Algorithm and its Application to Microstructure Image Segmentation - Marilyn Vazquez, ICERM	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Needle Detection for Interventional Oncology - Tina Kapur, Brigham and Women's Hospital	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Imaging Dark Matter via Gravitational Lensing - Ian Dell'Antonio, Brown University	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Learned Visual Sensors and Probabilistic Measurements - Ayan Chakrabarti, Washington University in St. Louis	11th Floor Lecture Hall
3:30 - 5:00pm EDT	Computational Imaging Poster Session	11th Floor Collaborative Space

Wednesday, March 20, 2019

Time	Event	Location
9:00 - 9:45am EDT	Accidental cameras - Bill Freeman, MIT and Google	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	High-resolution cryo-electron microscopy- advances and challenges in image analysis - Alberto Bartesaghi, Duke University	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Learning Discrete Markov Random Fields with Nearly Optimal Runtime and Sample Complexity - Adam Klivans, University of Texas at Austin	11th Floor Lecture Hall
12:30 - 12:40pm EDT	Group Photo	11th Floor Lecture Hall
12:40 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Perinatal Imaging - Imaging and Post-processing Tasks and Challenges - Lilla Zollei, Massachusetts General Hospital	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	A Finite State Automata Procedure for Finding Genes in Human DNA - Basilis Gidas, Brown University	11th Floor Lecture Hall

Thursday, March 21, 2019

Time	Event	Location
9:00 - 9:45am EDT	Computational Microscopy: Advanced priors beyond optimization - Ulugbek Kamilov, Washington University in St. Louis	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	3D Photos at Facebook - from research to prototype to product - Michael Cohen, Facebook	11th Floor Lecture Hall
11:30 - 12:15pm EDT	A New Variational Approach for Limited Angle Tomography - Rob Tovey, University of Cambridge	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Stochastic models of images- what models what applications - Agnes Desolneux, CNRS and Ecole Normale Superieure Paris-Saclay	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	Noise models, denoising and applications to direct and inverse imaging. - Alessandro Foi, Tampere University	11th Floor Lecture Hall
6:30 - 8:00pm EDT	An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting - Adam Tauman Kalai, Microsoft Research New England	Salomon Center 101

Friday, March 22, 2019

Time	Event	Location
9:00 - 9:45am EDT	Scalable and reliable deep learning for computational microscopy - Lei Tian, Boston University	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Seeing in the Dark: Computer Vision and Dark Matter Cosmology - Stephon Alexander, Brown University	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Scene Grammars, Factor Graphs, and Belief Propagation - Pedro Felzenszwalb, Brown University	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, March 25, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, March 26, 2019

Time	Event	Location	Materials
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club part 1 - "Geometric deep learning - going beyond Euclidean data" by Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, March 27, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, March 28, 2019

Time	Event	Location	Materials
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: GANs That Work Well Empirically - Ömer Sümer, University of Tübingen	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, March 29, 2019

Time	Event	Location
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar: Point-Line Minimal Problems in Complete Multi-View Visibility - Kathlén Kohn, ICERM	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar - Shubhendu Trivedi, ICERM	11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, April 1, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, April 2, 2019

Time	Event	Location
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club part 2 - "Geometric deep learning - going beyond Euclidean data" by Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, April 3, 2019

Time	Event	Location	Materials
9:00 - 10:00am EDT	Professional Development: Grant Proposals	ICERM 11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, April 4, 2019

Time	Event	Location
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: Digging Deeper into Flow-Based Generative Models - Shubhendu Trivedi, ICERM	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, April 5, 2019

Time	Event	Location
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar - Jeova Farias, Brown University	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar - Shira Kritchman, The Weizmann Institute of Science	11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, April 8, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, April 9, 2019

Time	Event	Location
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club - Session 4 - "Learning transformations for clustering and classification" By Qiang Qiu, Guillermo Sapiro	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, April 10, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, April 11, 2019

Time	Event	Location
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: Generative Adversarial Nets: Problems and Advances - Jian-Zhou Zhang, Sichuan University	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, April 12, 2019

Time	Event	Location
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar - Shermin Hamzehei, University of Massachusetts, Amherst	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar - Tingran Gao, The University of Chicago	11th Floor Conference Room
2:00 - 3:00pm EDT	"Diffusion Maps" Discussion Group	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, April 15, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, April 16, 2019

Time	Event	Location
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club - Session 5 - "Uncertainty quantification in graph-based classification of high dimensional data" by Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, and Konstantinos C. Zygalakis	11th Floor Conference Room
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, April 17, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, April 18, 2019

Time	Event	Location
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: Compositional Generative Models - Jeova Farias Sales Rocha Neto, Brown University	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, April 19, 2019

Time	Event	Location
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar - Michael Northington, Georgia Institute of Technology	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar - Ömer Sümer, University of Tubingen	11th Floor Conference Room
2:00 - 3:00pm EDT	"Diffusion Maps" Discussion Group	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, April 22, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, April 23, 2019

Time	Event	Location
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club - Session 6 - Phase-Based Video Motion Processing by Neal Wadhwa, Michael Rubinstein, Fredo Durand and William T. Freeman.	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, April 24, 2019

Time	Event	Location	Materials
9:00 - 10:00am EDT	Professional Development: Job Applications in Academia	ICERM 11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Thursday, April 25, 2019

Time	Event	Location
10:00 - 11:00am EDT	ICERM Generative Models Discussion Group: Computability of Conditional Probability - Guangyao Zhou, Brown University	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, April 26, 2019

Time	Event	Location
11:55 - 12:00pm EDT	Post Doc / Grad Student Photo	11th Floor Conference Room
12:00 - 12:20pm EDT	Grad Student Post Doc Seminar - Guangyao Zhou, Brown University	11th Floor Conference Room
12:30 - 12:50pm EDT	Grad Student Post Doc Seminar: Learning Abstractions for Shape Generating Programs - Theresa Barton, Brown University	11th Floor Conference Room
2:00 - 3:00pm EDT	"Diffusion Maps" Discussion Group	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, April 29, 2019

Time	Event	Location
8:30 - 8:55am EDT	Registration - ICERM 121 South Main Street, Providence RI 02903	11th Floor Collaborative Space
8:55 - 9:00am EDT	Welcome - ICERM Director	11th Floor Lecture Hall
9:00 - 9:45am EDT	On Combining CRF and CNN - Olga Veksler, University of Waterloo	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Computing Rolling Shutter Camera Pose via Optimized Algebraic Geometry - Tomas Pajdla, Czech Technical University in Prague	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Semidefinite Programming in Multiview Geometry - Rekha Thomas, University of Washington	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Min-Max affine approximants and sketches. - Michael Werman, The Hebrew University of Jerusalem	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	Point-Line Minimal Problems in Complete Multi-View Visibility - Kathlén Kohn, ICERM	11th Floor Lecture Hall
5:00 - 6:30pm EDT	Welcome Reception	11th Floor Collaborative Space

Tuesday, April 30, 2019

Time	Event	Location
9:00 - 9:45am EDT	Complexity of a quadratic penalty accelerated inexact proximal point method for solving linearly constrained nonconvex composite programs - Renato Monteiro, Georgia Tech	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Rotation Averaging and Strong Duality - Fredrik Kahl, Chalmers University of Technology	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Approximate Message Passing Algorithms for High-dimensional Statistical Estimation in Image Processing - Cynthia Rush, Columbia University	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Valued Constraint Satisfaction Problems - Vladimir Kolmogorov, IST Austria	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	Testing and correcting distributions over big domains - Ronitt Rubinfeld, Massachusetts Institute of Technology	11th Floor Lecture Hall

Wednesday, May 1, 2019

Time	Event	Location
9:00 - 9:45am EDT	Optimization for Robust Deep Learning - M. Pawan Kumar, University of Oxford	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Image segmentation methods and the use of pairwise similarities in data mining and pattern recognition - Dorit Hochbaum, UC Berkeley	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Non-Convex Relaxations for Rank Regularization - Carl Olsson, Chalmers University of Technology and Lund University	11th Floor Lecture Hall
12:30 - 12:40pm EDT	Group Photo	11th Floor Lecture Hall
12:40 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 4:00pm EDT	Optimization Methods in Computer Vision and Image Processing Poster Session	11th Floor Collaborative Space

Thursday, May 2, 2019

Time	Event	Location
9:00 - 9:45am EDT	Adversarial Training and Robust Optimization - Yair Weiss, Hebrew University of Jerusalem	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	Optimizing Jaccard, Dice, and other measures for image segmentation - Matthew Blaschko, KU Leuven	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Quantum Inspired Methods for Computer Vision - Davi Geiger, New York University	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
2:30 - 3:15pm EDT	Diversity Maximization over Large Data Sets - Sepideh Mahabadi, Toyota Technological Institute at Chicago	11th Floor Lecture Hall
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
4:00 - 4:45pm EDT	Direct estimation of texture models for image segmentation - Pedro Felzenszwalb, Brown University	11th Floor Lecture Hall

Friday, May 3, 2019

Time	Event	Location
9:00 - 9:45am EDT	Projective Splitting Methods for Decomposing Convex Optimization Problems - Jonathan Eckstein, Rutgers University	11th Floor Lecture Hall
10:00 - 10:30am EDT	Coffee/Tea Break	11th Floor Collaborative Space
10:30 - 11:15am EDT	On variational methods in imaging sciences, and Hamilton-Jacobi equations - Jerome Darbon, Brown University	11th Floor Lecture Hall
11:30 - 12:15pm EDT	Segmentation without Full Supervision - Yuri Boykov, University of Waterloo	11th Floor Lecture Hall
12:30 - 2:30pm EDT	Break for Lunch / Free Time
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Monday, May 6, 2019

Time	Event	Location	Materials
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Tuesday, May 7, 2019

Time	Event	Location
11:00 - 12:00pm EDT	"Diffusion Maps" Discussion Group	11th Floor Lecture Hall
1:00 - 2:00pm EDT	Machine Learning and Computer Vision Journal Club Session 7 - Secrets of GrabCut and Kernel K-mean by Meng Tang et al	11th Floor Lecture Hall
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Cake and Coffee/Tea Break	11th Floor Collaborative Space

Wednesday, May 8, 2019

Time	Event	Location
9:00 - 10:00am EDT	Professional Development: Hiring Process	11th Floor Conference Room
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
6:30 - 8:00pm EDT	An ICERM Public Lecture: What's the big deal about Calculus? - Steven Strogatz, Cornell University	11th Floor Lecture Hall

Thursday, May 9, 2019

Time	Event	Location	Materials
2:00 - 3:20pm EDT	Topics in Image Analysis - Pedro Felzenszwalb, Brown University	10th Floor Classroom
3:30 - 4:00pm EDT	Coffee/Tea Break	11th Floor Collaborative Space

Friday, May 10, 2019

Time	Event	Location
9:15 - 10:15am EDT	Special Intro to ANTS (for ICERM grads and postdocs)	11th Floor Lecture Hall
10:30 - 12:00pm EDT	Intro to ANTS for Medical Imaging	11th Floor Lecture Hall
12:00 - 1:30pm EDT	Break for Lunch/ Free Time
1:30 - 3:00pm EDT	Deep Learning and Statistical Approaches in Medical Imaging	11th Floor Lecture Hall
3:00 - 3:30pm EDT	Coffee/Tea Break	11th Floor Collaborative Space
3:30 - 4:30pm EDT	Ask us about...	11th Floor Conference Room

Publications

Timothy Duff, Kathl{\'e}n Kohn, Anton Leykin, Tom{\'a}s Pajdla, PL1P - Point-line Minimal Problems under Partial Visibility in Three Views, ArXiv abs/2003.05015 (2020).
Hongyi Fan, Joe Kileel, Benjamin B. Kimia, On the Instability of Relative Pose Estimation and RANSAC's Role, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), 8925-8933.
Sameer Agarwal, Timothy Duff, Max Lieblich, Rekha R. Thomas, An Atlas for the Pinhole Camera, Foundations of Computational Mathematics (2022).
Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia, GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), 15744-15755.
Timothy Duff, Viktor Korotynskiy, Tomas Pajdla, Margaret H Regan, Galois/monodromy groups for decomposing minimal problems in 3d reconstruction, SIAM Journal on Applied Algebra and Geometry 6 (2022) no. 4, 740--772.
Petr Hrub{\'y}, Timothy Duff, Anton Leykin, Tom{\'a}s Pajdla, Learning to Solve Hard Minimal Problems, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), 5522-5532.
Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret Regan, David da Costa de Pinho, Elias Tsigaridas, Charles Wampler, Jonathan Hauenstein, Benjamin Kimia, Anton Leykin, Tomas Pajdla, Trifocal Relative Pose from Lines at Points and its Efficient Solution, IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).
Davi Geiger, Zvi M. Kedem, Spin Entropy, 2022.
Davi Geiger, Zvi M. Kedem, On Quantum Entropy, 2022.
Jeov{\'a} F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez, Direct Estimation of Appearance Models for Segmentation, arXiv 2102.11121 (2021).
Z Lin, N Huang, C Avestruz, W L K Wu, S Trivedi, J Caldeira, B Nord, DeepSZ: identification of Sunyaev–Zel’dovich galaxy clusters using deep learning, Monthly Notices of the Royal Astronomical Society 507 (2021) no. 3, 4149-4164.
J. F. S. R. Neto, Pedro F. Felzenszwalb, Spectral Image Segmentation with Global Appearance Modeling, arXiv 2006.06573 (2020).
Tingran Gao, Yifeng Fan, Z. Zhao, Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy, arXiv 1906.01082 (2019).
Matthew Trager, Kathl{\'e}n Kohn, Joan Bruna, Pure and Spurious Critical Points: a Geometric Study of Linear Networks, arXiv 1910.01671 (2020).
Amnon Geifman, Abhay Kumar Yadav, Yoni Kasten, Meirav Galun, David W. Jacobs, Ronen Basri, On the Similarity between the Laplace and Neural Tangent Kernels, arXiv 2007.01580 (2020).
Guangyao Zhou, Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables, arXiv 1909.04852 (2020).
Guy Hacohen, Leshem Choshen, Daphna Weinshall, All Neural Networks are Created Equal, arXiv 1905.10854 (2019).
Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh, Learning Algebraic Multigrid Using Graph Neural Networks, arXiv 2003.05744 (2020).
Pavel Trutman, M. S. E. Din, D. Henrion, T. Pajdla, Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator, arXiv 2007.12550 (2020).
Esra Ataer-Cansizoglu, Hantian Liu, Tomer Weiss, Archi Mitra, Dhaval Dholakia, Jae-Woo Choi, Dan Wulin, Room Style Estimation for Style-Aware Recommendation, 2019.
Kirk Edward Swanson, Shubhendu Trivedi, Joshua Lequieu, Kyle Swanson, Risi Kondor, Deep Learning for Automated Classification and Characterization of Amorphous Materials, Soft matter (2019).
J. Caldeira, W.L.K. Wu, B. Nord, C. Avestruz, S. Trivedi, K.T. Story, DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks, Astronomy and Computing 28 (2019), 100307.
Irina A. Kogan, Michael Ruddy, Cynthia Vinzant, Differential Signatures of Algebraic Curves, SIAM J. Appl. Algebra Geom. 4 (2020), 185-226.
Liang Zhang, Jian-Zhou Zhang, Xiaoyi Jiang, Biao Liang, Error Correctable Hand–Eye Calibration for Stripe-Laser Vision-Guided Robotics, 2020.
Ronen Basri, Meirav Galun, Amnon Geifman, David W. Jacobs, Yoni Kasten, Shira Kritchman, Frequency Bias in Neural Networks for Input of Non-Uniform Density, ICML, 2020, .
Tomer Weiss, Ilkay Yildiz, Nitin Agarwal, Esra Ataer Cansizoglu, Jaewoo Choi, Image‐Driven Furniture Style for Interactive 3D Scene Modeling, Computer Graphics Forum 39 (2020).
Timothy Duff, Michael Ruddy, Numerical Equality Tests for Rational Maps and Signatures of Curves, Proceedings of the 45th International Symposium on Symbolic and Algebraic Computation, ISSAC '20, Association for Computing Machinery, New York, NY, USA, 2020, pp. 154–161.
Gal Katzhendler, Daphna Weinshall, Potential upside of high initial visual acuity?, Proceedings of the National Academy of Sciences 116 (2019) no. 38, 18765--18766.
Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao, Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network, BMVC, 2019, .
Timothy Duff, Michael Ruddy, Numerical equality tests for rational maps and signatures of curves, Proceedings of the 45th International Symposium on Symbolic and Algebraic Computation (2020).
Mathew Schwartz, Tomer Weiss, Esra Ataer-Cansizoglu, Jae-Woo Choi, Style Similarity as Feedback for Product Design, A New Perspective of Cultural DNA (2020), 27–42.
Ronen Basri, David W. Jacobs, Yoni Kasten, Shira Kritchman, The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies, NeurIPS, 2019, .
Yifeng Fan, Tingran Gao, Z. Zhao, Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations, NeurIPS, 2019, .
Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin Kimia, Anton Leykin, Tomas Pajdla, TRPLP – Trifocal Relative Pose From Lines at Points, 2020.
Bruce Wang, Timothy Sudijono, Henry Kirveslahti, Tingran Gao, Douglas M. Boyer, Sayan Mukherjee, Lorin Crawford, A statistical pipeline for identifying physical features that differentiate classes of 3D shapes, The Annals of Applied Statistics 15 (2021) no. 2, 638 -- 661.
Pramod Kaushik Mudrakarta, Shubhendu Trivedi, R. Kondor, Asymmetric Multiresolution Matrix Factorization, arXiv 1910.05132 (2019).
Gal Katzhendler, Daphna Weinshall, Blurred Images Lead to Bad Local Minima, arXiv 1901.10788 (2019).
Timothy Duff, Kathl{\'e}n Kohn, Anton Leykin, Tom{\'a}s Pajdla, PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility, 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), 1675-1684.
Timothy and Kohn Duff, PL\$\$\_1\$\$P - Point-Line Minimal Problems Under Partial Visibility in Three Views, 2020.

Computer Vision

Feb 4 - May 10, 2019