Yuanqing Lin

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters.

Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2018

DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map.

Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The ApolloScape Dataset for Autonomous Driving.

Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang

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.

Yunlong Bian, Chuang Gan, Xiao Liu, Fu Li, Xiang Long, Yandong Li, Heng Qi, Jie Zhou, Shilei Wen, Yuanqing Lin

CoRR, 2017

Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection.

Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Deep Metric Learning with Angular Loss.

Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017

Kernel Pooling for Convolutional Neural Networks.

Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition.

Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval.

Wengang Zhou, Ming Yang, Xiaoyu Wang, Houqiang Li, Yuanqing Lin, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Xiao Liu, Tian Xia, Jiang Wang, Yuanqing Lin

CoRR, 2016

Fine-Grained Image Classification by Exploring Bipartite-Graph Labels.

Feng Zhou, Yuanqing Lin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Embedding Label Structures for Fine-Grained Feature Representation.

Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang

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.

Fan Yang, Wongun Choi, Yuanqing Lin

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.

Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Cross Indexing With Grouplets.

Shiliang Zhang, Xiaoyu Wang, Yuanqing Lin, Qi Tian

IEEE Trans. Multim., 2015

Semantic-Aware Co-Indexing for Image Retrieval.

Shiliang Zhang, Ming Yang, Xiaoyu Wang, Yuanqing Lin, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Regionlets for Generic Object Detection.

Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Hyper-class augmented and regularized deep learning for fine-grained image classification.

Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Data-driven 3D Voxel Patterns for object category recognition.

Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Fine-grained visual categorization via multi-stage metric learning.

Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search.

Wengang Zhou, Ming Yang, Houqiang Li, Xiaoyu Wang, Yuanqing Lin, Qi Tian

IEEE Trans. Multim., 2014

Object-centric Sampling for Fine-grained Image Classification.

Xiaoyu Wang, Tianbao Yang, Guobin Chen, Yuanqing Lin

CoRR, 2014

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

Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

CoRR, 2014

Generic Object Detection with Dense Neural Patterns and Regionlets.

Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin

Proceedings of the British Machine Vision Conference, 2014

Accurate Object Detection with Location Relaxation and Regionlets Re-localization.

Chengjiang Long, Xiaoyu Wang, Gang Hua, Ming Yang, Yuanqing Lin

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.

Tianbao Yang, Shenghuo Zhu, Rong Jin, Yuanqing Lin

CoRR, 2013

Image segmentation for large-scale subcategory flower recognition.

Anelia Angelova, Shenghuo Zhu, Yuanqing Lin

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Dense Object Reconstruction with Semantic Priors.

Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Influence Analysis in the Blogosphere

Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang

CoRR, 2012

Object-Centric Spatial Pooling for Image Classification.

Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2012, 2012

Multi-component Models for Object Detection.

Chunhui Gu, Pablo Andrés Arbeláez, Yuanqing Lin, Kai Yu, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Learning image representations from the pixel level via hierarchical sparse coding.

Kai Yu, Yuanqing Lin, John D. Lafferty

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large-scale image classification: Fast feature extraction and SVM training.

Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang

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.

Yuanqing Lin, Jinlong Shu, Yao Meng

Comput. Math. Appl., 2010

Videos Semantic Indexing using Image Classification.

Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Deep Coding Network.

Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu

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.

Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2007

Multiplicative Updates for Nonnegative Quadratic Programming.

Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee

Neural Comput., 2007

Blind channel identification for speech dereverberation using l1-norm sparse learning.

Yuanqing Lin, Jingdong Chen, Youngmoo E. Kim, Daniel D. Lee

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Bayesian regularization and nonnegative deconvolution for room impulse response estimation.

Yuanqing Lin, Daniel D. Lee

IEEE Trans. Signal Process., 2006

Bayesian L1-Norm Sparse Learning.

Yuanqing Lin, Daniel D. Lee

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Cooperative relative robot localization with audible acoustic sensing.

Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Learning nonlinear appearance manifolds for robot localization.

Jihun Ham, Yuanqing Lin, Daniel D. Lee

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Relevant deconvolution for acoustic source estimation.

Yuanqing Lin, Daniel D. Lee

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation.

Yuanqing Lin, Daniel D. Lee

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Nonnegative deconvolution for time of arrival estimation.

Yuanqing Lin, Daniel D. Lee, Lawrence K. Saul

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004