[Colloquium] REMINDER: 2/26 TTIC Colloquium: Alexander Schwing, UIUC

[Mary Marre via Colloquium]

 When:     Monday, February 26th at *10:30 am*

Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526

Who:        Alexander Schwing, UIUC


*Title:  *      Cs of Computer Vision

*Abstract:  *The remarkable advances of artificial intelligence algorithms
have led to a widespread adoption in many areas, where they successfully
support human judgement. Recent trends suggest that an increasing amount of
available data, improvements regarding computational resources and more
complex models will result in expert-level support by artificial
intelligence in many more fields, particularly those where a single,
accurate result is clearly available.

However, for cognitive computing tasks where we want to generate complex
data and products, such as 3D models, videos, or missing regions in images,
a single correct result does not exist. In contrast, many outcomes are
viable. Algorithmic support in these areas generally relies on low-level
operations with a confined goal, such as appearance based selection. As a
consequence, a significant amount of domain expertise is required to
operate those tools by linking a sequence of local low-level operations.

In this talk, we present our vision to transform low-level human-computer
interaction dominated workflows into a semi-automatic high-level
manipulation using successively provided user preference feedback on
automatically generated products. This form of operation will provide
accessibility to image, video, and 3D model design for a large audience. To
achieve this goal, we solve algorithmic challenges in the areas of
`creativity,’ `curiosity,’ `consistency,’ `controllability,’ and
`complexity.’  I’ll detail those five steps referred to as the five `Cs,’
which are crucial components for a widely accessible workflow, tackling
complex tasks such as editing of images, videos and 3D models.


Host: Matthew Walter <mwalter at ttic.edu>


For more information on the colloquium series or to subscribe to the
mailing list,please see http://www.ttic.edu/colloquium.php




Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*

On Sun, Feb 25, 2018 at 6:54 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Monday, February 26th at *10:30 am*
>
> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>
> Who:        Alexander Schwing, UIUC
>
>
> *Title:  *      Cs of Computer Vision
>
> *Abstract:  *The remarkable advances of artificial intelligence
> algorithms have led to a widespread adoption in many areas, where they
> successfully support human judgement. Recent trends suggest that an
> increasing amount of available data, improvements regarding computational
> resources and more complex models will result in expert-level support by
> artificial intelligence in many more fields, particularly those where a
> single, accurate result is clearly available.
>
> However, for cognitive computing tasks where we want to generate complex
> data and products, such as 3D models, videos, or missing regions in images,
> a single correct result does not exist. In contrast, many outcomes are
> viable. Algorithmic support in these areas generally relies on low-level
> operations with a confined goal, such as appearance based selection. As a
> consequence, a significant amount of domain expertise is required to
> operate those tools by linking a sequence of local low-level operations.
>
> In this talk, we present our vision to transform low-level human-computer
> interaction dominated workflows into a semi-automatic high-level
> manipulation using successively provided user preference feedback on
> automatically generated products. This form of operation will provide
> accessibility to image, video, and 3D model design for a large audience. To
> achieve this goal, we solve algorithmic challenges in the areas of
> `creativity,’ `curiosity,’ `consistency,’ `controllability,’ and
> `complexity.’  I’ll detail those five steps referred to as the five `Cs,’
> which are crucial components for a widely accessible workflow, tackling
> complex tasks such as editing of images, videos and 3D models.
>
>
> Host: Matthew Walter <mwalter at ttic.edu>
>
>
> For more information on the colloquium series or to subscribe to the
> mailing list,please see http://www.ttic.edu/colloquium.php
>
>
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 504*
> *Chicago, IL  60637*
> *p:(773) 834-1757 <(773)%20834-1757>*
> *f: (773) 357-6970 <(773)%20357-6970>*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
> On Tue, Feb 20, 2018 at 10:41 AM, Mary Marre <mmarre at ttic.edu> wrote:
>
>> When:     Monday, February 26th at *10:30 am*
>>
>> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>>
>> Who:        Alexander Schwing, UIUC
>>
>>
>> *Title:  *      Cs of Computer Vision
>>
>> *Abstract:  *The remarkable advances of artificial intelligence
>> algorithms have led to a widespread adoption in many areas, where they
>> successfully support human judgement. Recent trends suggest that an
>> increasing amount of available data, improvements regarding computational
>> resources and more complex models will result in expert-level support by
>> artificial intelligence in many more fields, particularly those where a
>> single, accurate result is clearly available.
>>
>> However, for cognitive computing tasks where we want to generate complex
>> data and products, such as 3D models, videos, or missing regions in images,
>> a single correct result does not exist. In contrast, many outcomes are
>> viable. Algorithmic support in these areas generally relies on low-level
>> operations with a confined goal, such as appearance based selection. As a
>> consequence, a significant amount of domain expertise is required to
>> operate those tools by linking a sequence of local low-level operations.
>>
>> In this talk, we present our vision to transform low-level human-computer
>> interaction dominated workflows into a semi-automatic high-level
>> manipulation using successively provided user preference feedback on
>> automatically generated products. This form of operation will provide
>> accessibility to image, video, and 3D model design for a large audience. To
>> achieve this goal, we solve algorithmic challenges in the areas of
>> `creativity,’ `curiosity,’ `consistency,’ `controllability,’ and
>> `complexity.’  I’ll detail those five steps referred to as the five `Cs,’
>> which are crucial components for a widely accessible workflow, tackling
>> complex tasks such as editing of images, videos and 3D models.
>>
>>
>> Host: Matthew Walter <mwalter at ttic.edu>
>>
>>
>> For more information on the colloquium series or to subscribe to the
>> mailing list,please see http://www.ttic.edu/colloquium.php
>>
>>
>>
>>
>> Mary C. Marre
>> Administrative Assistant
>> *Toyota Technological Institute*
>> *6045 S. Kenwood Avenue*
>> *Room 504*
>> *Chicago, IL  60637*
>> *p:(773) 834-1757 <(773)%20834-1757>*
>> *f: (773) 357-6970 <(773)%20357-6970>*
>> *mmarre at ttic.edu <mmarre at ttic.edu>*
>>
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.cs.uchicago.edu/pipermail/colloquium/attachments/20180226/3619786c/attachment-0001.html>