Yangqing Jia

According to our database1, Yangqing Jia authored at least 47 papers between 2008 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017
High performance ultra-low-precision convolutions on mobile devices.
CoRR, 2017

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.
CoRR, 2017

ML computation patterns in production systems.
Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture), 2017

2016
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016

2015
Going deeper with convolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

MatchNet: Unifying feature and metric learning for patch-based matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Learning Semantic Image Representations at a Large Scale.
PhD thesis, 2014

Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation.
IEEE Trans. Image Processing, 2014

Going Deeper with Convolutions.
CoRR, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.
CoRR, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Proceedings of the 31th International Conference on Machine Learning, 2014

Large-Scale Object Classification Using Label Relation Graphs.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
A Category-Level 3D Object Dataset: Putting the Kinect to Work.
Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Pooling-Invariant Image Feature Learning
CoRR, 2013

Why Size Matters: Feature Coding as Nystrom Sampling
CoRR, 2013

One-Shot Adaptation of Supervised Deep Convolutional Models.
CoRR, 2013

Deep Convolutional Ranking for Multilabel Image Annotation.
CoRR, 2013

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
CoRR, 2013

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Grounding spatial relations for human-robot interaction.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

On Compact Codes for Spatially Pooled Features.
Proceedings of the 30th International Conference on Machine Learning, 2013

Category-Independent Object-Level Saliency Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Latent Task Adaptation with Large-Scale Hierarchies.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Factorized Multi-Modal Topic Model
CoRR, 2012

Factorized Multi-Modal Topic Model.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning with Recursive Perceptual Representations.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Beyond spatial pyramids: Receptive field learning for pooled image features.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Heavy-tailed Distances for Gradient Based Image Descriptors.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Practical 3-D object detection using category and instance-level appearance models.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A category-level 3-D object dataset: Putting the Kinect to work.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Learning cross-modality similarity for multinomial data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Factorized Latent Spaces with Structured Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Trace Ratio Problem Revisited.
IEEE Trans. Neural Networks, 2009

Semi-supervised orthogonal discriminant analysis via label propagation.
Pattern Recognition, 2009

Front-view vehicle detection by Markov chain Monte Carlo method.
Pattern Recognition, 2009

Semi-Supervised Classification on Evolutionary Data.
Proceedings of the IJCAI 2009, 2009

2008
Distortion-Free Nonlinear Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Finding image exemplars using fast sparse affinity propagation.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Local Regularized Least-Square Dimensionality Reduction.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning distance metric for semi-supervised image segmentation.
Proceedings of the International Conference on Image Processing, 2008

Augmented tree partitioning for interactive image segmentation.
Proceedings of the International Conference on Image Processing, 2008

Normalized tree partitioning for image segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Trace Ratio Criterion for Feature Selection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Instance-level Semisupervised Multiple Instance Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008


  Loading...