I am a Research Scientist working primarily in the field of computer vision and
machine learning. My recent work includes object detection and segmentation, human
pose estimation, learning from limited data.
Prior to Google I was a Ph.D. Candidate in Computer and Information Science at the
School of Engineering and Applied Sciences, University of Pennsylvania. where I
worked on shape-based recognition; co-segmentation for image matching; parsing of
3D Range Imagery.
Prior to Philadelphia, I did my undergraduate studies at the University of
Karlsruhe, Germany. I spent six months in the Spring of 2005 at INRIA, France,
working on my diploma thesis on activity recognition. In the Summer of 2008 I was
an intern at Google Research, New York, working on object detection in videos.
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No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas Leung, Sergey Ioffe, Saurabh Singh
International Conference on Computer Vision (ICCV), IEEE (2017) (to appear)
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Towards Accurate Multi-person Pose Estimation in
the Wild
George Papandreou, Tyler Zhu, Nori
Kanazawa, Alexander Toshev, Jonathan
Tompson, Chris Bregler, Kevin Murphy
CVPR (2017)
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Chained Predictions Using Convolutional Neural
Networks
Georgia Gkioxari, Navdeep Jaitly, Alexander
Toshev
European Conference on Computer Vision (2016)
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Chained predictions using convolutional neural
networks
Georgia Gkioxari, Alexander Toshev,
Navdeep Jaitly
ECCV (2016)
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Generation and Comprehension of Unambiguous Object
Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Kevin Murphy
Computer Vision and Pattern Recognition (2016)
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The Unreasonable Effectiveness of Noisy Data for
Fine-Grained Recognition
Jonathan Krause, Andrew Howard, Benjamin
Sapp, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li
Fei-Fei
Computer Vision and Pattern Recognition (2016)
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Pose Embeddings: A Deep Architecture for Learning
to Match Human Poses
Greg Mori, Caroline Pantofaru, Nisarg
Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang
arXiv (2015)
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru
Erhan
Computer Vision and Pattern Recognition (2015)
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Deep Convolutional Ranking for Multilabel Image Annotation
Yunchao Gong, Yangqing Jia, Alexander Toshev, Thomas Leung, Sergey Ioffe
International Conference on Learning Representations (2014) (to appear)
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DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev, Christian Szegedy
Computer Vision and Pattern Recognition (2014) (to appear)
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Scalable Object Detection using Deep Neural
Networks
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
Computer Vision and Pattern Recognition, IEEE (2014), pp. 2155- 2162
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Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Advances in Neural Information Processing Systems (2013)
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Shape-based Object Recognition in Videos Using 3D Synthetic Object Models
Alexander Toshev, Ameesh Makadia, Kostas Daniilidis
Computer Vision and Pattern Recognition (2009)
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Shape-based Object Detection via Boundary Structure Segmentation
Alexander Toshev, Ben Taskar, Kostas
Daniilidis
International Journal of Computer Vision, vol. 99 (2012), pp. 123-146 (to appear)
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Cascaded Models for Articulated Pose Estimation
Alexander Toshev, Benjamin Sapp, Ben
Taskar
European Conference in Computer Vision (2010)
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Detecting and Parsing Architecture at City Scale from Range Data
Alexander Toshev, Philippos Mordohai,
Ben Taskar
Computer Vision and Pattern Recognition (2010)
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Object Detection via Boundary Structure Segmentation
Alexander Toshev, Ben Taskar, Kostas
Daniilidis
Computer Vision and Pattern Recognition (2010)
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Submodular Function Minimization
Alexander Toshev
University of Pennsylvania (2010)
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An APRIORI-based Method for Frequent Composite Event Discovery in Videos
Alexander Toshev, Francois Bremond,
Monique Thonnat
International Conference on Computer Vision Systems (2006)
