[Colloquium] TODAY: 1/24 Young Researcher Seminar Series: Shubham Tulsiani, UC Berkeley

Mary Marre via Colloquium colloquium at mailman.cs.uchicago.edu
Wed Jan 24 10:21:26 CST 2018


When:     Wednesday, January 24th at *10:30** am*

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

Who:       Shubham Tulsiani, UC Berkeley


Title: Learning Single-view 3D Reconstruction of Objects and Scenes

Abstract: In this talk, I will discuss the task of inferring 3D structure
underlying an image, in particular focusing on two questions - a) how we
can plausibly obtain supervisory signal for this task, and b) what forms of
representation should we pursue. I will first show that we can leverage
image-based supervision to learn single-view 3D prediction, by using
geometry as a bridge between the learning systems and the available
indirect supervision. We will see that this approach enables learning 3D
structure across diverse setups e.g. predicting deformable models or
volumetric 3D for objects, or inferring layered-depth images for scenes. I
will then advocate the case for inferring interpretable and compositional
3D representations. I will present a method that discovers the coherent
compositional structure across objects in a unsupervised manner by
attempting to assemble shapes using volumetric primitives, and then
demonstrate the advantages of predicting similar factored 3D
representations for complex scenes.


Host: Greg Shakhnarovich <greg at ttic.edu>


************************************************************
**************************************



The TTIC Young Researcher Seminar Series (http://www.ttic.edu/young-
researcher.php) features talks by Ph.D. students and postdocs whose research is
of broad interest to the computer science community. The series provides an
opportunity for early-career researchers to present recent work to and meet
with students and faculty at TTIC and nearby universities.


The seminars are typically held on Wednesdays at 10:30 am in TTIC Room 526.

For additional information, please contact Matthew Walter (mwalter at ttic.edu
).



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 Tue, Jan 23, 2018 at 2:02 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Wednesday, January 24th at *10:30** am*
>
> Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526
>
> Who:       Shubham Tulsiani, UC Berkeley
>
>
> Title: Learning Single-view 3D Reconstruction of Objects and Scenes
>
> Abstract: In this talk, I will discuss the task of inferring 3D structure
> underlying an image, in particular focusing on two questions - a) how we
> can plausibly obtain supervisory signal for this task, and b) what forms of
> representation should we pursue. I will first show that we can leverage
> image-based supervision to learn single-view 3D prediction, by using
> geometry as a bridge between the learning systems and the available
> indirect supervision. We will see that this approach enables learning 3D
> structure across diverse setups e.g. predicting deformable models or
> volumetric 3D for objects, or inferring layered-depth images for scenes. I
> will then advocate the case for inferring interpretable and compositional
> 3D representations. I will present a method that discovers the coherent
> compositional structure across objects in a unsupervised manner by
> attempting to assemble shapes using volumetric primitives, and then
> demonstrate the advantages of predicting similar factored 3D
> representations for complex scenes.
>
>
> Host: Greg Shakhnarovich <greg at ttic.edu>
>
>
> ************************************************************
> **************************************
>
>
>
> The TTIC Young Researcher Seminar Series (http://www.ttic.edu/young-
> researcher.php) features talks by Ph.D. students and postdocs whose
> research is of broad interest to the computer science community. The
> series provides an opportunity for early-career researchers to present
> recent work to and meet with students and faculty at TTIC and nearby
> universities.
>
>
> The seminars are typically held on Wednesdays at 10:30 am in TTIC Room 526.
>
> For additional information, please contact Matthew Walter (
> mwalter at ttic.edu).
>
>
>
>
> 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 Wed, Jan 17, 2018 at 2:19 PM, Mary Marre <mmarre at ttic.edu> wrote:
>
>>
>> When:     Wednesday, January 24th at *10:30** am*
>>
>> Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526
>>
>> Who:       Shubham Tulsiani, UC Berkeley
>>
>>
>> Title: Learning Single-view 3D Reconstruction of Objects and Scenes
>>
>> Abstract: In this talk, I will discuss the task of inferring 3D structure
>> underlying an image, in particular focusing on two questions - a) how we
>> can plausibly obtain supervisory signal for this task, and b) what forms of
>> representation should we pursue. I will first show that we can leverage
>> image-based supervision to learn single-view 3D prediction, by using
>> geometry as a bridge between the learning systems and the available
>> indirect supervision. We will see that this approach enables learning 3D
>> structure across diverse setups e.g. predicting deformable models or
>> volumetric 3D for objects, or inferring layered-depth images for scenes. I
>> will then advocate the case for inferring interpretable and compositional
>> 3D representations. I will present a method that discovers the coherent
>> compositional structure across objects in a unsupervised manner by
>> attempting to assemble shapes using volumetric primitives, and then
>> demonstrate the advantages of predicting similar factored 3D
>> representations for complex scenes.
>>
>>
>> Host: Greg Shakhnarovich <greg at ttic.edu>
>>
>>
>> ************************************************************
>> **************************************
>>
>>
>>
>> The TTIC Young Researcher Seminar Series (http://www.ttic.edu/young-
>> researcher.php) features talks by Ph.D. students and postdocs whose
>> research is of broad interest to the computer science community. The
>> series provides an opportunity for early-career researchers to present
>> recent work to and meet with students and faculty at TTIC and nearby
>> universities.
>>
>>
>> The seminars are typically held on Wednesdays at 10:30 am in TTIC Room
>> 526.
>>
>> For additional information, please contact Matthew Walter (
>> mwalter at ttic.edu).
>>
>>
>>
>>
>>
>> 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>*
>>
>
>
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