Seminar
Computer Vision @ Scale
Manohar Paluri Research Lead, Facebook Abstract Over the past 5 years the community has made significant strides in the field of Computer Vision. Thanks to large scale datasets, specialized computing in form of GPUs and many breakthroughs in modeling better convnet architectures Computer Vision systems in the wild at scale are becoming a reality. At [...]
“Ensuring Safe Human-Robot Co-Existence by Reachability Analysis”
Matthias Althoff Technische Universität München Abstract Modern manufacturing companies are expected to quickly and efficiently adapt to production changes, and robotics has long been known as the candidate solution for the required flexibility. To improve such flexibility, future working environments will be populated by both humans and robot manipulators, sharing the same workspace. This scenario [...]
Towards scaling video understanding
Serena Yeung Ph.D. Student, Stanford University Abstract The quantity of video data is vast, yet our capabilities for visual recognition and understanding in videos lags significantly behind that for images. In this talk, I will discuss the challenges of scale in labeling, modeling, and inference behind this gap. I will then present three works addressing [...]
Chris Urmson: Perspectives on Self-Driving Cars – Teruko Yata Memorial Lecture in Robotics
SPEAKER: Chris Urmson, CEO & co-founder Aurora Title: Perspectives on Self-Driving Cars Abstract: Self-driving vehicles will save millions of lives, make cities more liveable, save resources, and transform transportation to be more accessible and enjoyable for everyone. Despite a decade of rapid advancement in the state-of-the-art, perception of the technology still lands somewhere between solved [...]
Visual Analysis of Dense Crowds
Event Location: Newell Simon Hall 1507Bio: Haroon Idrees is a postdoctoral researcher in the Center for Research in Computer Vision (CRCV) at the University of Central Florida (UCF). He is interested in machine vision and learning, with focus on crowd analysis, action recognition, multi-camera and airborne surveillance, as well as deep learning and multimedia content [...]
Haroon Idrees: Visual Analysis of Dense Crowds
Haroon Idrees Post Doc Associate, Center for Research in Computer Vision, University of Central Florida (UCF) Abstract Automated analysis of dense crowds is a challenging problem with far-reaching applications in crowd safety and management, as well as gauging political significance of protests and demonstrations. In this talk, I will first describe a counting approach which [...]
Toward Deep Geometric Image Understanding
Event Location: Newell Simon Hall 1507Bio: Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from [...]
Robots for the social good: Identifying and addressing organizational and societal factors in the design and use of robots
Event Location: NSH 1305Bio: I am an Associate Professor of Informatics and Cognitive Science at Indiana University, Bloomington, where I founded and direct the R-House Human-Robot Interaction Lab. My work combines the social studies of computing, focusing particularly on the design, use, and consequences of socially interactive and assistive robots in different social and cultural [...]