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Call for Papers

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Invited Speakers

Program

     

Time

 

Speaker

  

8:45

Opening Remarks

   

8:50

Invited Talk: Unsupervised Cross-Domain Mapping

Lior Wolf (Facebook AI Research)

  

9:25

Invited Talk: Optimization as a Model for Few-Shot Learning

Hugo Larochelle (Universite de Sherbrooke, Canada)

  

10:00

Morning Break

   

10:35

Invited talk: How studying brains can help us get a deeper vision

Gabriel Kreiman (Harvard University, USA)

  

11:10

Invited talk: TBD

Sanja Fidler (University of Toronto, Canada)

  

11:45

Invited talk: Deep RL for Navigation in Complex Environments

Raia Hadsell (Google DeepMind, UK)

  

12:45

Lunch

   

14:30

Session Remarks

   

14:30

Invited talk: Deep models for activity detection and description

Kate Saenko (Boston University, USA)

  

15:00

Poster Spotlight

   

15:30

Afternoon Break / poster session

   

16:00

Invited talk: Tubelet-based Video Object Detection

Xiaogang Wang (Chinese University of Hong Kong)

  

16:30

Invited talk: TBD

Maja Pantic (Imperial College, UK)

  

17:00

Closing remarks

   
     
     
     

Description of the workshop

The goal of the DeepVision Workshop is to accelerate the study of deep learning algorithms in computer vision problems. With the increase of acceleration of digital photography and the advances in storage devices over the last decade, we have seen explosive growth in the available amount of visual data and equally explosive growth in the computational capacities for image understanding. Instead of hand crafting features, recent advancement in deep learning suggests an emerging approach to extracting useful representations for many computer vision tasks.

Organizing Commitee