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Events for March 23, 2016
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CS Colloquium: Olga Russakovsky (CMU) - The Human Side of Computer Vision
Wed, Mar 23, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Olga Russakovsky, Carnegie Mellon University
Talk Title: The Human Side of Computer Vision
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Intelligent agents acting in the real world need advanced vision capabilities to perceive, learn from, reason about and interact with their environment. In this talk, I will explore the role that humans play in the design and deployment of computer vision systems. Large-scale manually labeled datasets have proven instrumental for scaling up visual recognition, but they come at a substantial human cost. I will first briefly talk about strategies for making optimal use of human annotation effort for computer vision progress. However, no dataset can foresee all the visual scenarios that a real-world system might encounter. I will argue that seamlessly integrating human expertise at runtime will become increasingly important for open-world computer vision. I will introduce, and demonstrate the effectiveness of, a rigorous mathematical framework for human-machine collaboration. Looking ahead, in order for such collaborations to become practical, the computer vision algorithms we design will need to be both efficient and interpretable. I will conclude by presenting a new deep reinforcement learning model for human action detection in videos that is efficient, interpretable and more accurate than prior art, opening up new avenues for practical human-in-the-loop exploration.
Biography: Olga Russakovsky recently completed her PhD in computer science at Stanford and is now a postdoctoral fellow at Carnegie Mellon University. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. Her work was featured in the New York Times and MIT Technology Review. She served as a Senior Program Committee member for WACV'16, led the ImageNet Large Scale Visual Recognition Challenge effort for two years, and organized multiple workshops and tutorials on large-scale recognition at premier computer vision conferences ICCV'13, ECCV'14, CVPR'15, ICCV'15 and CVPR'16. In addition, she founded and directs the Stanford AI Laboratory's outreach camp SAILORS (featured in Wired and published in SIGCSE'16) designed to expose high school students in underrepresented populations to the field of AI.
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CS Colloquium: Linh Thi Xuan Phan (U. of Pennsylvania) - Timing Guarantees for Cyber-Physical Systems
Wed, Mar 23, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Linh Thi Xuan Phan, U. of Pennsylvania
Talk Title: Timing Guarantees for Cyber-Physical Systems
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Cyber-physical systems -- such as cars, pacemakers, and power plants -- need to interact with the physical world in a timely manner to ensure safety. It is important to have a way to analyze these systems and to prove that they can meet their timing requirements. However, modern cyber-physical systems are increasingly complex: they can involve thousands of tasks running on dozens of processors, many of which can have multiple cores or shared caches. Existing techniques for ensuring timing guarantees cannot handle this level of complexity. In this talk, I will present some of my recent work that can help to bridge this gap, such as overhead-aware compositional scheduling/analysis and multicore cache management. I will also discuss some potential applications, such as real-time cloud platforms and intrusion-resistant cyber-physical systems.
Biography: Linh Thi Xuan Phan is an Assistant Research Professor in the Department of Computer and Information Science at the University of Pennsylvania. Her interests include real-time systems, embedded systems, cyber-physical systems, and cloud computing. Her research develops theoretical foundations and practical tools for building complex systems with provable safety and timing guarantees. She is especially interested in techniques that integrate theory, systems, and application aspects. Recently, she has been working on methods for defending cyber-physical systems against malicious attacks, as well as on real-time cloud infrastructures for safety critical and mission-critical systems. Linh holds a Ph.D. degree in Computer Science from the National University of Singapore (NUS); she received the Graduate Research Excellence Award from NUS for her dissertation work.
Host: CS Department
More Info: https://bluejeans.com/333182321
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/333182321
