[4eyes] REMINDER: CS/ECE Colloquium: TODAY @ 11: Devi Parikh

[Matthew Turk]

I presume everyone knows about this vision talk today, but here's a
reminder. The speaker, Devi Parikh, received the Marr Prize at the recent
ICCV 2011, a big honor.

	Matthew

-----Original Message-----
From: faculty-bounces at lists.cs.ucsb.edu
[mailto:faculty-bounces at lists.cs.ucsb.edu] On Behalf Of Tiffany Sabado
Sent: Thursday, January 19, 2012 8:22 AM
To: Typical faculty; grads at cs.ucsb.edu; research at lists.cs.ucsb.edu;
colloquia at lists.cs.ucsb.edu
Subject: [FACULTY] REMINDER: CS/ECE Colloquium: TODAY @ 11: Devi Parikh


> UCSB COMPUTER SCIENCE/ECE DEPARTMENT PRESENTS:
>
> Thursday, January 19, 2012
> 11:00 - 12:00 PM
> Computer Science Conference Room, Harold Frank Hall Rm. 1132
>
> HOST: B.S. Manjunath
>
> SPEAKER: Devi Parikh
> Research Assistant Professor, Toyota Technological Institute at Chicago
>
> Title: Human-Debugging of Machine Visual Recognition
>
> Abstract:
>
> The problem of visual recognition is central towards the goal of 
> automatic image understanding. While a wide range of efforts have been 
> made in the computer vision community addressing different aspects of 
> various recognition problems, machine performance remains 
> unsatisfactory. Fortunately, we have access to a working system whose 
> performance we wish to replicate - the human visual recognition 
> system! It only seems natural to leverage it towards the goal of 
> reliable machine visual recognition.
>
> In this talk, I will give an overview of our recently-introduced 
> "human-debugging" paradigm. It involves replacing various components 
> of a machine vision pipeline with human subjects, and examining the 
> resultant effect on recognition performance. Meaningful comparisons 
> identify the aspects of machine vision approaches that require future 
> research efforts. I will present several of our efforts within this 
> framework that address image classification (CVPR'10, ICCV'11), object 
> recognition (CVPR'08, PAMI'11, ICCV'11) and person detection 
> (CVPR'11). Besides computer vision, human-debugging is also broadly 
> applicable to other areas in AI such as speech recognition and machine 
> translation.
>
> For image classification, I will describe our work on evaluating the 
> relative importance of image representations, learning algorithms and 
> amounts of training data. We found image representation to be the most 
> important factor. We further evaluated the relative importance of 
> local and global information in images, and found that further 
> advancement in modeling global information in images is crucial. For 
> object recognition, we studied the roles of appearance and contextual 
> information for machine and human recognition. Inspired by our 
> findings, we proposed a novel contextual cue that exploits unlabeled 
> regions in images, which are often ignored by existing contextual 
> models. Our proposed cue significantly boosts performance of a slew of 
> existing object detectors. Finally, for person detection we analyzed a 
> state-of-art parts-based person detection model and found 
> part-detection to be the weakest link.
>
> Bio:
>
> Devi Parikh is a Research Assistant Professor at TTI-Chicago, an 
> academic computer science institute affiliated with University of 
> Chicago. She received her M.S. and Ph.D. degrees from the Electrical 
> and Computer Engineering department at Carnegie Mellon University in 
> 2007 and 2009 respectively, advised by Tsuhan Chen. She received her 
> B.S. in Electrical and Computer Engineering from Rowan University in 
> 2005.
>
> Her research interests include computer vision and AI in general. 
> Recently, she has been involved in leveraging human-machine 
> collaborations for building smarter machines. She was a recipient of 
> the Carnegie Mellon Dean's Fellowship, National Science Foundation 
> Graduate Research Fellowship, and the 2011 Marr Prize awarded at ICC
>


-- 
Tiffany Sabado
Assistant to the Chair
Computer Science Department
Phone (805) 893-2207
Fax (805) 893-8553

_______________________________________________
faculty mailing list
faculty at lists.cs.ucsb.edu
https://lists.cs.ucsb.edu/mailman/listinfo/faculty