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CVPR 2016 & Research at Google

June 28, 2016

Posted by Rahul Sukthankar, Research Scientist

This week, Las Vegas hosts the 2016 Conference on Computer Vision and Pattern Recognition (CVPR 2016), the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. As a leader in computer vision research, Google has a strong presence at CVPR 2016, with many Googlers presenting papers and invited talks at the conference, tutorials and workshops.

We congratulate Google Research Scientist Ce Liu and Google Faculty Advisor Abhinav Gupta, who were selected as this year’s recipients of the PAMI Young Researcher Award for outstanding research contributions within computer vision. We also congratulate Googler Henrik Stewenius for receiving the Longuet-Higgins Prize, a retrospective award that recognizes up to two CVPR papers from ten years ago that have made a significant impact on computer vision research, for his 2006 CVPR paper “Scalable Recognition with a Vocabulary Tree”, co-authored with David Nister, during their time at University of Kentucky.

If you are attending CVPR this year, please stop by our booth and chat with our researchers about the projects and opportunities at Google that go into solving interesting problems for hundreds of millions of people. The Google booth will also showcase several recent efforts, including the technology behind Motion Stills, a live demo of neural network-based image compression and TensorFlow-Slim, the lightweight library for defining, training and evaluating models in TensorFlow. Learn more about our research being presented at CVPR 2016 in the list below (Googlers highlighted in blue).

Oral Presentations
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy

Detecting Events and Key Actors in Multi-Person Videos
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

Spotlight Session: 3D Reconstruction
DeepStereo: Learning to Predict New Views From the World’s Imagery
John Flynn, Ivan Neulander, James Philbin, Noah Snavely

Discovering the Physical Parts of an Articulated Object Class From Multiple Videos
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari

Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig

Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna

Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille

Optimization Algorithms for Subset Selection and Summarization in Large Data Sets
Ehsan Elhamifar, Jeff Bilmes, Alex Kulesza, Michael Gygli

Perceptual Organization in Computer Vision: The Role of Feedback in Recognition and Reorganization
Organizers: Katerina Fragkiadaki, Phillip Isola, Joao Carreira
Invited talks: Viren Jain, Jitendra Malik

VQA Challenge Workshop
Invited talks: Jitendra Malik, Kevin Murphy

Women in Computer Vision
Invited talk: Caroline Pantofaru

Computational Models for Learning Systems and Educational Assessment
Invited talk: Jonathan Huang

Large-Scale Scene Understanding (LSUN) Challenge
Invited talk: Jitendra Malik

Large Scale Visual Recognition and Retrieval: BigVision 2016
General Chairs: Jason Corso, Fei-Fei Li, Samy Bengio

ChaLearn Looking at People
Invited talk: Florian Schroff

Medical Computer Vision
Invited talk: Ramin Zabih