RI Seminar
Greg Mori
Professor
School of Computer Science, Simon Fraser University

Deep Structured Models for Human Activity Recognition

1305 Newell Simon Hall

Abstract: Visual recognition involves reasoning about structured relations at multiple levels of detail.  For example, human behaviour analysis requires a comprehensive labeling covering individual low-level actions to pair-wise interactions through to high-level events.  Scene understanding can benefit from considering labels and their inter-relations.  In this talk I will present recent work by our group building [...]

VASC Seminar
Shubham Tulsiani
PhD Candidate
UC, Berkeley

Learning Single-view 3D Reconstruction of Objects and Scenes

GHC 6501

Abstract: In this talk, I will discuss the task of inferring 3D structure underlying an image, in particular focusing on two questions - a) how we can plausibly obtain supervisory signal for this task, and b) what forms of representation should we pursue. I will first show that we can leverage image-based supervision to learn [...]

Field Robotics Center Seminar
Systems Scientist
Robotics Institute,
Carnegie Mellon University

From Robust Real-time SLAM to Safe Collision Avoidance

Newell Simon Hall 1507

Abstract State estimation plays a critical role in a robotic system. The problem is to know where the robot is and how it is oriented. This is very often a building block in the navigation system, which modules in charge of higher level tasks are relied on. Challenges are to carry out state estimation in [...]

RI Seminar
David Breen
Associate Professor
Department of Computer Science, Drexel University

Level Set Models for Computer Graphics

1305 Newell Simon Hall

ABSTRACT A level set model is a deformable implicit model that has a regularly-sampled representation.  It is defined as an iso-contour, i.e. a level set, of some implicit function f.  The contour is deformed by solving a partial differential equation on a sampling of f, an image in 2D and a volume dataset in 3D.  [...]

VASC Seminar
Ryad Benosman
Professor
University Pierre and Marie Curie, Paris

Neuromorphic Event-based time oriented vision and Computation

GHC 6501

Abstract: There has been significant research over the past two decades in developing new systems for spiking neural computation. The impact of neuromorphic concepts on recent developments in optical sensing, display and artificial vision is presented. State-of-the-art image sensors suffer from severe limitations imposed by their very principle of operation. These sensors acquire the visual [...]

RI Seminar
Prof. Dr.-Ing. Michael Goesele
Professor
Graphics, Capture and Massively Parallel Computing , Technische Universität Darmstadt

“Does it look right? – Why capture and reconstruction quality really matter.”

1305 Newell Simon Hall

Special RI Seminar Please Note Different Day and Time Abstract:  At first sight, 3D reconstruction can be considered a solved problem. The principles are well understood and we can reconstruct a wide range of objects and scenes using active as well as passive reconstruction approached. However, most of these reconstructions are not convincing when really [...]

RI Seminar
Frank Dellaert
Technical Project Lead at Building 8
Facebook

Factor Graphs and Automatic Differentiation for Flexible Inference in Robotics and Vision

1305 Newell Simon Hall

PLEASE NOTE: THIS SEMINAR WILL NOT BE RECORDED Abstract: Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SFM) are important and closely related problems in robotics and vision. I will review how SLAM, SFM and other problems in robotics and vision can be posed in terms of factor graphs, which provide a graphical language [...]

VASC Seminar
Stefan Lee
Research Scientist
School of Interactive Computing at Georgia Tech

Towards Goal-Driven Visually Grounded Dialog Agents

Newell-Simon Hall 3305

Abstract: Communication between human users and artificial intelligences is essential for human-AI cooperative tasks. For these collaborations to extend into real environments, artificial agents must be able to perceive their environment (visually, aurally, tactilely, etc.) and to communicate with humans about it in order to accomplish mutual goals. For example, a user might talk with [...]

Seminar
Chris Jones
VP of Technology
iRobot

Robots and the Smart Home

GHC 6115

Abstract Home robots, such as the iRobot Roomba vacuuming robot, have been welcomed into millions of homes around the world and are hard at work every day helping people to get more done. iRobot is the market leader in home robotics and is at the forefront in developing technologies for practical robots, including visual SLAM, [...]

RI Seminar
Magnus Egerstedt
Professor and Executive Director
Institute for Robotics and Intelligent Machines , Georgia Institute of Technology

Long Duration Autonomy With Applications to Persistent Environmental Monitoring

1305 Newell Simon Hall

Abstract: By now, we have a fairly good understanding of how to design coordinated control strategies for making teams of mobile robots achieve geometric objectives in a distributed manner, such as assembling shapes or covering areas. But, the mapping from high-level tasks to geometric objectives is not well understood. In this talk, we investigate this [...]