- talks - lists.cs.princeton.edu

refreshments
by Ginny Hogan 26 Sep '08

26 Sep '08

Cookies are now available in the tea room -

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Reminder: CS Colloquium: today at 1pm -- Prof. Dan Huttenlocher (Cornell)
by Fei-Fei Li 26 Sep '08

26 Sep '08

Please remember to come to today's CS Colloquium at 1pm by Prof. Dan Huttenlocher (CS, Cornell). His talk title is "Sensing for Autonomous Driving: Some Lessons from the DARPA Urban Challenge Race". Cookie/tea reception would be at 2pm in the 2nd floor tea room - i.e. after the talk. This will be a really fun talk! Abstract: Team Cornell's Skynet is one of six vehicles that successfully completed the 2007 DARPA Urban Challenge, with over 55 miles of fully autonomous driving in an urban environment. The competition included many scenarios such as staying in a lane, merging into traffic, passing other vehicles, obeying queueing order at stop signs, parking, and robot-robot interaction. Skynet was designed to drive "human-like" with smooth, predictable behaviors, even in the presence of a vast array of uncertainties. In this talk I will describe the vehicle design with a focus on the systems for perception and planning, and will present some results from the semi-finals and the final race. In particular I will discuss the pose estimation system which uses visual input to improve the estimate of the vehicle's location, and the object tracking system which can simultaneously track dozens of objects while accurately estimating their speed and heading. I will also discuss some of the limitations of such systems, which played a role in the fender bender between Skynet and MIT's Talos robot. Bio: Dan Huttenlocher is the John P. and Rilla Neafsey Professor of Computing, Information Science and Business at Cornell University, where he holds a joint appointment in the Computer Science Department and the Johnson Graduate School of Management. His current research interests are in computer vision, social and information networks, geometric algorithms and autonomous driving. He has been recognized for his research and teaching contributions, including being named an NSF Presidential Young Investigator, New York State Professor of the Year and Fellow of the ACM. In addition to academic posts he has been chief technical officer of Intelligent Markets, a provider of advanced trading systems on Wall Street, and spent more than ten years at Xerox PARC directing work that led to the ISO JBIG2 image-compression standard. -- --------------------------------------------- Li, Fei-Fei Ph.D. (publish under L. Fei-Fei) Assistant Professor Computer Science Dept. Princeton University 35 Olden St. Princeton, NJ 08540 Tel: (609)258-8130 Office: Room 211, CS Building Website: http://vision.cs.princeton.edu --------------------------------------------- _______________________________________________ pixl-talks mailing list pixl-talks(a)lists.cs.princeton.edu https://lists.cs.princeton.edu/mailman/listinfo/pixl-talks -- --------------------------------------------- Li, Fei-Fei Ph.D. (publish under L. Fei-Fei) Assistant Professor Computer Science Dept. Princeton University 35 Olden St. Princeton, NJ 08540 Tel: (609)258-8130 Office: Room 211, CS Building Website: http://vision.cs.princeton.edu --------------------------------------------- _______________________________________________ pixl-talks mailing list pixl-talks(a)lists.cs.princeton.edu https://lists.cs.princeton.edu/mailman/listinfo/pixl-talks -- --------------------------------------------- Li, Fei-Fei Ph.D. (publish under L. Fei-Fei) Assistant Professor Computer Science Dept. Princeton University 35 Olden St. Princeton, NJ 08540 Tel: (609)258-8130 Office: Room 211, CS Building Website: http://vision.cs.princeton.edu ---------------------------------------------

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Reminder: CS Colloquium: tomorrow at 1pm -- Prof. Dan Huttenlocher (Cornell)
by Fei-Fei Li 25 Sep '08

25 Sep '08

Please come to tomorrow's CS Colloquium at 1pm by Prof. Dan Huttenlocher (CS, Cornell). His talk title is "Sensing for Autonomous Driving: Some Lessons from the DARPA Urban Challenge Race" (abstract below). Cookie/tea reception would be at 2pm in the 2nd floor tea room - i.e. after the talk. Abstract: Team Cornell's Skynet is one of six vehicles that successfully completed the 2007 DARPA Urban Challenge, with over 55 miles of fully autonomous driving in an urban environment. The competition included many scenarios such as staying in a lane, merging into traffic, passing other vehicles, obeying queueing order at stop signs, parking, and robot-robot interaction. Skynet was designed to drive "human-like" with smooth, predictable behaviors, even in the presence of a vast array of uncertainties. In this talk I will describe the vehicle design with a focus on the systems for perception and planning, and will present some results from the semi-finals and the final race. In particular I will discuss the pose estimation system which uses visual input to improve the estimate of the vehicle's location, and the object tracking system which can simultaneously track dozens of objects while accurately estimating their speed and heading. I will also discuss some of the limitations of such systems, which played a role in the fender bender between Skynet and MIT's Talos robot. Bio: Dan Huttenlocher is the John P. and Rilla Neafsey Professor of Computing, Information Science and Business at Cornell University, where he holds a joint appointment in the Computer Science Department and the Johnson Graduate School of Management. His current research interests are in computer vision, social and information networks, geometric algorithms and autonomous driving. He has been recognized for his research and teaching contributions, including being named an NSF Presidential Young Investigator, New York State Professor of the Year and Fellow of the ACM. In addition to academic posts he has been chief technical officer of Intelligent Markets, a provider of advanced trading systems on Wall Street, and spent more than ten years at Xerox PARC directing work that led to the ISO JBIG2 image-compression standard. -- --------------------------------------------- Li, Fei-Fei Ph.D. (publish under L. Fei-Fei) Assistant Professor Computer Science Dept. Princeton University 35 Olden St. Princeton, NJ 08540 Tel: (609)258-8130 Office: Room 211, CS Building Website: http://vision.cs.princeton.edu --------------------------------------------- _______________________________________________ pixl-talks mailing list pixl-talks(a)lists.cs.princeton.edu https://lists.cs.princeton.edu/mailman/listinfo/pixl-talks -- --------------------------------------------- Li, Fei-Fei Ph.D. (publish under L. Fei-Fei) Assistant Professor Computer Science Dept. Princeton University 35 Olden St. Princeton, NJ 08540 Tel: (609)258-8130 Office: Room 211, CS Building Website: http://vision.cs.princeton.edu ---------------------------------------------

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Speaker Friday 9/26/2008
by Ginny Hogan 24 Sep '08

24 Sep '08

Dan Huttenlocher, Cornell University will present his talk, "Sensing for Autonomous Driving: Some Lessons from the DARPA Urban Challenge Race", Friday Sept. 26th at 1:00pm Computer Science Room 105. - There will be a tea following the talk at 2:00pm. Second floor tea room -

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Kavita Bala talk
by Tom Funkhouser 17 Sep '08

17 Sep '08

*Speaker: Kavita Bala, Cornell University Title: Perceptually-based scalable graphics Abstract: Simulating the appearance of complex scenes faithfully and efficiently is a challenge in graphics. My research develops algorithms that scale to complex illumination and scenes, by exploiting limitations in human perception. In this talk I will describe two complementary research goals. First, we need to understand image fidelity: when is a rendered image good enough? We introduce a new appearance-based measure of image fidelity called visual equivalence[SIG07,SIG08] that goes beyond pixel accuracy to better capture what graphics practitioners care about: preserving appearance in complex scenes. Second, we design perceptually-based algorithms that scale to complex scenes and complex illumination effects, like motion blur, depth-of-field, participating media, and subsurface scattering. I will describe our work on lightcuts for scalable final rendering [SIG05,SIG06,EG08] and matrix row-column sampling for lighting preview [SIG07,EGSR08]. These approaches are complementary in performance and can be applied across a range of applications such as cinematic relighting, production rendering, games, cultural heritage, and ecommerce, among others. Bio: Kavita Bala is an Assistant Professor in the Computer Science Department and Program of Computer Graphics at Cornell University. She received her S.M. and Ph.D. from the Massachusetts Institute of Technology (MIT), and her B.Tech. from the Indian Institute of Technology (IIT, Bombay). Bala specializes in computer graphics, leading research projects in scalable rendering, perceptually-based rendering, interactive global illumination, and image-based modeling and texturing. She has co-authored the graduate-level textbook "Advanced Global Illumination" (A K Peters publisher, second edition). In 2005 she co-chaired the Eurographics Symposium on Rendering (EGSR). Bala has received the NSF CAREER award, Cornell's College of Engineering James and Mary Tien Excellence in Teaching Award, and Cornell's Affinito-Stewart award. **Time/Place: Monday, September 22, 2008 12:00 - 1:30PM, CS 402 (PIXL Lunch) *

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E Banks preFPO
by Melissa Lawson 16 Sep '08

16 Sep '08

Eric Banks will present his preFPO on Monday September 22 at 1:30PM in room 402. The members of his committee are: Mona Singh, advisor; Olga Troyanskaya and Bernard Chazelle, readers; Tom Funkhouser and David Blei, nonreaders. Everyone is invited to attend his talk. His abstract follows below. ------------------------------------------ High-throughput experimental and computational approaches are enabling the collection of large-scale biological networks, consisting of proteins and the interactions among them, for a growing number of species. With appropriate computational analysis and experimental work the potential exists for uncovering the organizational principles of the cell and, consequently, protein functions and pathways, which are still largely unidentified. In this work, we introduce a novel framework for analyzing protein interaction networks in order to uncover organizational units corresponding to recurring means with which diverse biological processes are carried out. We formalize recurring patterns of interaction among different types of proteins using "network schemas"; network schemas specify descriptions of proteins and the topology of interactions among them. We develop algorithms for systematically uncovering recurring, over-represented schemas in physical interaction networks and apply these methods to the S. cerevisiae interactome, identifying hundreds of such organizational units of varying complexity. We establish the functional importance of these schemas by showing that they correspond to functionally cohesive sets of proteins, are enriched in the frequency with which they have instances in the H. sapiens interactome, and are useful for predicting protein function. Finally, we introduce NetGrep, a system for searching protein interaction networks for matches to more general network schemas. NetGrep provides an advanced graphical interface for specifying schemas and fast algorithms for extracting their matches.

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Matthew Bridges FPO
by Melissa Lawson 09 Sep '08

09 Sep '08

Matt Bridges will present his FPO on Monday September 15 at 2PM in Room 402. The members of his committee are: David August, advisor; Kai Li and Dan Lavery, readers; Doug Clark and Margaret Martonosi, nonreaders. A copy of his thesis, "The VELOCITY Compiler: Extracting Efficient Multicore Execution from Legacy Sequential Codes", is on display in Room 310. Everyone is invited to attend his talk.

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F Perry FPO
by Melissa Lawson 21 Aug '08

21 Aug '08

Frances Perry will present her FPO on Thursday August 28 at 10:30AM in room 402. The members of her committee are: David Walker, advisor; Andrew Appel and David Tarditi, readers; David August and Margaret Martonosi, nonreaders. A copy of her thesis, "Reasoning About Software in the Presence of Transient Faults", is on display in room 310. Everyone is invited to attend her talk.

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C DeCoro preFPO
by Melissa Lawson 20 Aug '08

20 Aug '08

Chris DeCoro will present his preFPO on Wednesday August 27 at 2PM in Room 402. The members of his committee are Szymon Rusinkiewicz (advisor); Tom Funkhouser and Tim Weyrich (readers); and Fei-Fei Li and Brian Kernighan (non-readers). A copy of his abstract follows below. Everyone is invited to attend his talk. =========================== Title: "Filters for Detail Control and Stylization in Rendering" This dissertation examines a new class of filtering operations that are applied during rendering -- the process of synthesizing an image from geometry. These ``rendering filters'' allow for detail control, creative stylization, and noise rejection in ways not possible with purely image- or geometry-space filters. In particular: the subtractive shadow filter enables flexible control of shadowing level-of-detail in a real-time animation, allowing designers to rapidly prototype changes to materials and geometry. In our system, direct illumination is always computed and preserved in full detail. In contrast, the degree to which the perceptual cues provided by shadowing are maintained is controlled by the user, as a tradeoff between accuracy and rendering speed. Additionally, the subtractive shadow filter is able to take advantage of the low-frequency content of shadows, relative to direct illumination, to improve perceptual quality relative to conventional shadow computation with a limited number of lights. The stylized illumination filter gives the digital artist creative control over the appearance of shadows and illumination, replicating many of the effects frequently employed by traditional artists; In particular, we give the user control over the key parameters of inflation, brightness, softness, and abstraction. Because the filter operates in real time, the artist may design the desired effect with interactive feedback. The path-density filter allows for rejection of statistical outliers in the computation of global illumination solutions, significantly decreasing noise and improving convergence. The key insight of the method is to leverage density-estimation techniques in a high-dimensional space representing scattering events along light paths; paths in low-density regions are considered outliers. Unlike existing methods, it does so in a way that is both robust to large-scale noise, while efficient on well-behaved distributions.

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Z Barutcuoglu FPO
by Melissa Lawson 19 Aug '08

19 Aug '08

Zafer Barutcuoglu will present his FPO on Monday August 25 at 1PM in Room 402. The members of his committee are: Rob Schapire, advisor; Olga Troyanskaya and David Blei, readers; Mona Singh and Fei-Fei Li, nonreaders. A copy of his thesis, "Using Structural Information in Machine Learning Applications", is on display in Room 310. Everyone is invited to attend his talk.

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