Naiyan Wang

According to our database1, Naiyan Wang authored at least 44 papers between 2011 and 2019.

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Bibliography

2019
Cross View Fusion for 3D Human Pose Estimation.
CoRR, 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
CoRR, 2019

Revisiting Feature Alignment for One-stage Object Detection.
CoRR, 2019

Sequence Level Semantics Aggregation for Video Object Detection.
CoRR, 2019

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition.
CoRR, 2019

Scale-Aware Trident Networks for Object Detection.
CoRR, 2019

2018
Adaptive Batch Normalization for practical domain adaptation.
Pattern Recognition, 2018

Spectral Feature Transformation for Person Re-identification.
CoRR, 2018

You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization.
CoRR, 2018

Data-Driven Sparse Structure Selection for Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multi-Shot Pedestrian Re-Identification via Sequential Decision Making.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multi-shot Pedestrian Re-identification via Sequential Decision Making.
CoRR, 2017

Demystifying Neural Style Transfer.
CoRR, 2017

Data-Driven Sparse Structure Selection for Deep Neural Networks.
CoRR, 2017

Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.
CoRR, 2017

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.
CoRR, 2017

Demystifying Neural Style Transfer.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-paced cross-modality transfer learning for efficient road segmentation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Revisiting Batch Normalization For Practical Domain Adaptation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Factorized Bilinear Models for Image Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
On The Stability of Video Detection and Tracking.
CoRR, 2016

Revisiting Batch Normalization For Practical Domain Adaptation.
CoRR, 2016

Factorized Bilinear Models for Image Recognition.
CoRR, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Empirical Evaluation of Rectified Activations in Convolutional Network.
CoRR, 2015

Understanding and Diagnosing Visual Tracking Systems.
CoRR, 2015

Transferring Rich Feature Hierarchies for Robust Visual Tracking.
CoRR, 2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.
CoRR, 2015

Collaborative Deep Learning for Recommender Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Understanding and Diagnosing Visual Tracking Systems.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

DevNet: A Deep Event Network for multimedia event detection and evidence recounting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Bayesian adaptive matrix factorization with automatic model selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Trinary-Projection Trees for Approximate Nearest Neighbor Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Collaborative Deep Learning for Recommender Systems.
CoRR, 2014

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Learning a Deep Compact Image Representation for Visual Tracking.
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

Contextual rule-based feature engineering for author-paper identification.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013

Bayesian Robust Matrix Factorization for Image and Video Processing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Online Robust Non-negative Dictionary Learning for Visual Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
A Probabilistic Approach to Robust Matrix Factorization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Feasible Nonconvex Relaxation Approach to Feature Selection.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011


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