in conjunction with in conjunction with CVPR 2016

The 4th International Workshop on Large Scale Visual Recognition and Retrieval: BigVision 2016

Sponsored By

BigVision 2016 is a full-day workshop to be held on July 1st 2016 in conjunction with the premier conference in Computer Vision and Pattern Recognition CVPR 2016, in Las Vegas, Nevada. We seek to bring together researchers working on large scale visual recognition in academia and industry. We will have a poster session and invited speakers presenting throughout the day.

Big data has been revolutionizing computer vision research. The increasing availability of massive visual datasets creates unprecedented opportunities for researchers to tackle fundamental computer vision challenges: recognizing everything in the visual world, indexing and organizing the sea of visual information, and extracting knowledge and discovering patterns from big visual data. Achieving these goals calls for ground-breaking innovations on many fronts---data collection, learning, inference, representations, indexing, and system infrastructure.


9:00 - 9:15 Introductory Remarks
9:15 - 10:00Towards Recognition in the Open-World
Deva Ramanan, Carnegie Mellon University
Morning break
10:15 - 11:00 What Does it Mean to Scale Visual Recognition?
Ali Farhadi, University of Washington
11:00 - 11:45 Jia Li, Snapchat
11:45 - 12:15 Spotlight presentations
Lunch Break
13:30 - 14:15 Guaranteed Machine Learning using Tensor Methods
Anima Anandkumar, University of California, Irvine
14:15 - 15:00 Visual Question Answering
Devi Parikh & Dhruv Batra, Virginia Tech
15:00 - 15:15 Spotlight presentations
Poster Session
16:15 - 17:00 How a Driverless Car Sees the World
Zhaoyin Jia, Google
17:00 - 17:15 Closing Remarks

Accepted Posters

Contact Information

For general information, please contact:

Vicente Ordonez
Allen Institute for Artificial Intelligence
vicenteor at

Program Committee

Organizing Committee

Vicente Ordonez
Allen Institute for Artificial Intelligence /
University of Virginia

Olga Russakovsky
Carnegie Mellon University

Jia Deng
University of Michigan

Alexander C. Berg
University of North Carolina at Chapel Hill

Yuanqing Lin
Baidu Research

General Chairs

Jason Corso
University of Michigan

Fei-fei Li
Stanford University

Samy Bengio