Yuanqing Lin

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Object Detection

Image Classification

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. ICLR (2022)
Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. CoRR (2022)
Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map. CVPR (2018)
Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map. CoRR (2018)
Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang
The ApolloScape Dataset for Autonomous Driving. CVPR Workshops (2018)
Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang
The ApolloScape Dataset for Autonomous Driving. CoRR (2018)
Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin
Deep Metric Learning with Angular Loss. CoRR (2017)
Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin
Deep Metric Learning with Angular Loss. ICCV (2017)
Yunlong Bian, Chuang Gan, Xiao Liu, Fu Li, Xiang Long, Yandong Li, Heng Qi, Jie Zhou, Shilei Wen, Yuanqing Lin
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification. CoRR (2017)
Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie
Kernel Pooling for Convolutional Neural Networks. CVPR (2017)
Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. AAAI (2017)
Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. WACV (2017)
Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang
Embedding Label Structures for Fine-Grained Feature Representation. CVPR (2016)
Fan Yang, Wongun Choi, Yuanqing Lin
Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers. CVPR (2016)
Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection. CoRR (2016)
Wengang Zhou, Ming Yang, Xiaoyu Wang, Houqiang Li, Yuanqing Lin, Qi Tian
Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 38 (1) (2016)
Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. CVPR (2016)
Feng Zhou, Yuanqing Lin
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels. CVPR (2016)
Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. CoRR (2016)
Xiao Liu, Tian Xia, Jiang Wang, Yuanqing Lin
Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition. CoRR (2016)
Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. CoRR (2015)
Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese
Data-driven 3D Voxel Patterns for object category recognition. CVPR (2015)
Feng Zhou, Yuanqing Lin
Fine-grained Image Classification by Exploring Bipartite-Graph Labels. CoRR (2015)
Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang
Embedding Label Structures for Fine-Grained Feature Representation. CoRR (2015)
Shiliang Zhang, Ming Yang, Xiaoyu Wang, Yuanqing Lin, Qi Tian
Semantic-Aware Co-Indexing for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (2015)
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
Fine-grained visual categorization via multi-stage metric learning. CVPR (2015)
Shiliang Zhang, Xiaoyu Wang, Yuanqing Lin, Qi Tian
Cross Indexing With Grouplets. IEEE Trans. Multim. 17 (11) (2015)
Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin
Regionlets for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37 (10) (2015)
Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin
Hyper-class augmented and regularized deep learning for fine-grained image classification. CVPR (2015)
Xiaoyu Wang, Tianbao Yang, Guobin Chen, Yuanqing Lin
Object-centric Sampling for Fine-grained Image Classification. CoRR (2014)
Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin
Generic Object Detection with Dense Neural Patterns and Regionlets. BMVC (2014)
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. CoRR (2014)
Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin
Generic Object Detection With Dense Neural Patterns and Regionlets. CoRR (2014)
Wengang Zhou, Ming Yang, Houqiang Li, Xiaoyu Wang, Yuanqing Lin, Qi Tian
Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search. IEEE Trans. Multim. 16 (3) (2014)
Chengjiang Long, Xiaoyu Wang, Gang Hua, Ming Yang, Yuanqing Lin
Accurate Object Detection with Location Relaxation and Regionlets Re-localization. ACCV (1) (2014)
Shiliang Zhang, Ming Yang, Xiaoyu Wang, Yuanqing Lin, Qi Tian
Semantic-Aware Co-indexing for Image Retrieval. ICCV (2013)
Anelia Angelova, Shenghuo Zhu, Yuanqing Lin
Image segmentation for large-scale subcategory flower recognition. WACV (2013)
Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese
Dense Object Reconstruction with Semantic Priors. CVPR (2013)
Tianbao Yang, Shenghuo Zhu, Rong Jin, Yuanqing Lin
On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent. CoRR (2013)
Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin
Regionlets for Generic Object Detection. ICCV (2013)
Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei
Object-Centric Spatial Pooling for Image Classification. ECCV (2) (2012)
Chunhui Gu, Pablo Andrés Arbeláez, Yuanqing Lin, Kai Yu, Jitendra Malik
Multi-component Models for Object Detection. ECCV (4) (2012)
Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang
Influence Analysis in the Blogosphere CoRR (2012)
Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang
Large-scale image classification: Fast feature extraction and SVM training. CVPR (2011)
Kai Yu, Yuanqing Lin, John D. Lafferty
Learning image representations from the pixel level via hierarchical sparse coding. CVPR (2011)
Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang
Videos Semantic Indexing using Image Classification. TRECVID (2010)
Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu
Deep Coding Network. NIPS (2010)
Yuanqing Lin, Jinlong Shu, Yao Meng
Laplacian spectrum characterization of extensions of vertices of wheel graphs and multi-fan graphs. Comput. Math. Appl. 60 (7) (2010)
Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS (2009)
Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee
Multiplicative Updates for Nonnegative Quadratic Programming. Neural Comput. 19 (8) (2007)
Yuanqing Lin, Jingdong Chen, Youngmoo E. Kim, Daniel D. Lee
Blind channel identification for speech dereverberation using l1-norm sparse learning. NIPS (2007)
Yuanqing Lin, Daniel D. Lee
Bayesian regularization and nonnegative deconvolution for room impulse response estimation. IEEE Trans. Signal Process. 54 (3) (2006)
Yuanqing Lin, Daniel D. Lee
Bayesian L1-Norm Sparse Learning. ICASSP (5) (2006)
Jihun Ham, Yuanqing Lin, Daniel D. Lee
Learning nonlinear appearance manifolds for robot localization. IROS (2005)
Yuanqing Lin, Daniel D. Lee
Relevant deconvolution for acoustic source estimation. ICASSP (5) (2005)
Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee
Cooperative relative robot localization with audible acoustic sensing. IROS (2005)
Yuanqing Lin, Daniel D. Lee
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. NIPS (2004)
Yuanqing Lin, Daniel D. Lee, Lawrence K. Saul
Nonnegative deconvolution for time of arrival estimation. ICASSP (2) (2004)