Category: Archived AIR Seminars

Media Analysis and Understanding

Guorong Li, Associate Professor, University of Chinese Academy of Sciences Wednesday, November 8, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston) Abstract: With the increasing prevalence of digital camera, images and videos have become the necessary part of people’s life. It is important to analyze videos, images and understand them automatically. In this talk, I will […]

Creative AI: Data-driven Approaches for Human-centered Computational Design

Craig Yu, Associate Professor, UMass Boston Wednesday, November 1, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston) Abstract: With the increasing amount of 3D data captured from the real world and human perceptual data that can be obtained from virtual reality, it becomes very promising to devise data-driven computational design approaches for creating highly immersive 3D […]

Physics-Aware Design Tools for Digital Fabrication

Mélina Skouras, Postdoctoral Associate, Massachusetts Institute of Technology Wednesday, October 25, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston) Abstract: Recent technological advances in digital manufacturing enable experts and casual users alike to design and fabricate complex structures with fine control over their external geometry and internal material distribution. However, designing an object that is […]

Medical Image Analysis Projects at Uppsala University

Filip Malmberg, Associate Professor, Centre for Image Analysis, Department of Information Technology, Uppsala University, Sweden Wednesday, October 18, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston) Abstract: Medical imaging techniques such as CT, MRI and PET are routinely used to generate detailed 3D images of the human body. In addition to qualitative analysis performed […]

In-Car AI Assistant

Jan Kautz, Senior Director of Visual Computing and Machine Learning Research Wednesday, October 11, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston) Abstract: Data show that ninety percent of car crashes involve some form of driver distraction. Until we reach complete automation in cars, the driver will continue to be in the loop. To make […]

Joint Language-Vision Inference in Machines and Humans

Jeffrey Mark Siskind, School of Electrical and Computer Engineering, Purdue University Wednesday, October 4, 1:00-2:00pm; MCS 148 Abstract: I will present several frameworks for performing joint inference across vision, language, and motor control.  The first is a unified cost function relating video, sentences, and a lexicon.  Multidirectional inference supports video captioning, producing sentences from video and a […]