Olga Russakovsky

According to our database1, Olga Russakovsky authored at least 32 papers between 2006 and 2018.

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Bibliography

2018
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos.
International Journal of Computer Vision, 2018

The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
What Actions are Needed for Understanding Human Actions in Videos?
CoRR, 2017

Learning to Learn from Noisy Web Videos.
CoRR, 2017

What's in a Question: Using Visual Questions as a Form of Supervision.
CoRR, 2017

Predictive-Corrective Networks for Action Detection.
CoRR, 2017

What Actions are Needed for Understanding Human Actions in Videos?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning to Learn from Noisy Web Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

What's in a Question: Using Visual Questions as a Form of Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predictive-Corrective Networks for Action Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Crowdsourcing in Computer Vision.
Foundations and Trends in Computer Graphics and Vision, 2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.
CoRR, 2016

Crowdsourcing in Computer Vision.
CoRR, 2016

Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls.
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Memphis, TN, USA, March 02, 2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

What's the Point: Semantic Segmentation with Point Supervision.
Proceedings of the Computer Vision - ECCV 2016, 2016

End-to-End Learning of Action Detection from Frame Glimpses in Videos.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
ImageNet Large Scale Visual Recognition Challenge.
International Journal of Computer Vision, 2015

End-to-end Learning of Action Detection from Frame Glimpses in Videos.
CoRR, 2015

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos.
CoRR, 2015

What's the point: Semantic segmentation with point supervision.
CoRR, 2015

Joint calibration of Ensemble of Exemplar SVMs.
CoRR, 2015

Best of both worlds: Human-machine collaboration for object annotation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Joint calibration of Ensemble of Exemplar SVMs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
ImageNet Large Scale Visual Recognition Challenge.
CoRR, 2014

Scalable multi-label annotation.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Object-Centric Spatial Pooling for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2010
Autonomous operation of novel elevators for robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Attribute Learning in Large-Scale Datasets.
Proceedings of the Trends and Topics in Computer Vision, 2010

A Steiner tree approach to efficient object detection.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2006
Training Conditional Random Fields for Maximum Labelwise Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006


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