Yuanqing Lin

According to our database1, Yuanqing Lin authored at least 46 papers between 2004 and 2022.

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Bibliography

2022
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2018
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The ApolloScape Dataset for Autonomous Driving.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification.
CoRR, 2017

Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Deep Metric Learning with Angular Loss.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Kernel Pooling for Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition.
CoRR, 2016

Fine-Grained Image Classification by Exploring Bipartite-Graph Labels.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Embedding Label Structures for Fine-Grained Feature Representation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Cross Indexing With Grouplets.
IEEE Trans. Multim., 2015

Semantic-Aware Co-Indexing for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Regionlets for Generic Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Hyper-class augmented and regularized deep learning for fine-grained image classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Data-driven 3D Voxel Patterns for object category recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Fine-grained visual categorization via multi-stage metric learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search.
IEEE Trans. Multim., 2014

Object-centric Sampling for Fine-grained Image Classification.
CoRR, 2014

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization.
CoRR, 2014

Generic Object Detection with Dense Neural Patterns and Regionlets.
Proceedings of the British Machine Vision Conference, 2014

Accurate Object Detection with Location Relaxation and Regionlets Re-localization.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.
CoRR, 2013

Image segmentation for large-scale subcategory flower recognition.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Dense Object Reconstruction with Semantic Priors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Influence Analysis in the Blogosphere
CoRR, 2012

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

Multi-component Models for Object Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Learning image representations from the pixel level via hierarchical sparse coding.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large-scale image classification: Fast feature extraction and SVM training.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Laplacian spectrum characterization of extensions of vertices of wheel graphs and multi-fan graphs.
Comput. Math. Appl., 2010

Videos Semantic Indexing using Image Classification.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Deep Coding Network.
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
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2007
Multiplicative Updates for Nonnegative Quadratic Programming.
Neural Comput., 2007

Blind channel identification for speech dereverberation using l1-norm sparse learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Bayesian regularization and nonnegative deconvolution for room impulse response estimation.
IEEE Trans. Signal Process., 2006

Bayesian L1-Norm Sparse Learning.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Cooperative relative robot localization with audible acoustic sensing.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Learning nonlinear appearance manifolds for robot localization.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Relevant deconvolution for acoustic source estimation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Nonnegative deconvolution for time of arrival estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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