Yuanqing Lin - RankMe

58 papers A* 17A 6Journal 24Unranked 11

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