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Call for Papers

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Program

     

Time

 

Speaker

  

8:45

Welcome

   

8:55

Invited talk: Optimising nested functions using auxiliary coordinates

Miguel Á. Carreira-Perpiñán (University of California, Merced, USA)

  

9:40

Poster Spotlight

   

10:00

Morning Break

   

10:30

Invited talk: Learning deep multi-modal fusion architectures

Graham Taylor (University of Guelph, Canada)

  

11:15

Invited talk: VideoLSTM Convolves, Attends and Flows for Action Recognition

Cees Snoek (QUVA Lab, University of Amsterdam)

  

12:00

Invited talk: Connecting Images and Natural Language

Andrej Karpathy (Stanford University, USA)

  

12:45

Lunch

   

14:30

Invited talk: VQA vs. AI

Anton van den Hengel (University of Adelaide, Australia)

  

15:15

Poster Session

   

15:25

Afternoon Break

   

16:00

Invited talk:Empowering Deep Learning for Developers

Matthew Zeiler (Clarifai, USA)

  

17:00

Closing remarks

   
     
     
     
 

Poster Session

Authors

  

 

Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association

Bing Wang*, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang,

  

 

Faster R-CNN Features for Instance Search

Amaia Salvador, Xavier Giro-i-Nieto*, Ferran Marques

  

 

Deep End2End Voxel2Voxel Prediction

Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri,

  

 

Adversarial Diversity and Hard Positive Generation

Andras Rozsa, Ethan Rudd, Terrance Boult,

  

 

Learning by tracking: Siamese CNN for robust target association

Laura Leal-Taixé, Cristian Canton Ferrer, Konrad Schindler

  

 

ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation

Francesco Visin, Marco Ciccone, Adriana Romero, Kyle Kastner, Kyunghyun Cho, Yoshua Bengio, Matteo Matteucci, Aaron Courville

  

 

Rich Image Captioning in the Wild

Kenneth Tran, Xiaodong He , Lei Zhang, Jian Sun, Cornelia Carapcea,Chris Thrasher, Chris Buehler, Chris Sienkiewicz