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Yuanqing Lin
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2020 – today
- 2022
- [c34]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. ICLR 2022 - [i16]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. CoRR abs/2201.12467 (2022)
2010 – 2019
- 2018
- [c33]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: 954-960 - [c32]Peng Wang, Ruigang Yang
, Binbin Cao, Wei Xu, Yuanqing Lin:
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map. CVPR 2018: 5860-5869 - [i15]Xinyu Huang
, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang:
The ApolloScape Dataset for Autonomous Driving. CoRR abs/1803.06184 (2018) - [i14]Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin:
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map. CoRR abs/1805.04949 (2018) - 2017
- [c31]Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. AAAI 2017: 4190-4196 - [c30]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie
:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058 - [c29]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. ICCV 2017: 2612-2620 - [c28]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. WACV 2017: 924-933 - [i13]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. CoRR abs/1708.01682 (2017) - [i12]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 abs/1708.03805 (2017) - 2016
- [j8]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): 159-171 (2016) - [c27]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang
:
Embedding Label Structures for Fine-Grained Feature Representation. CVPR 2016: 1114-1123 - [c26]Feng Zhou, Yuanqing Lin:
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels. CVPR 2016: 1124-1133 - [c25]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: 1153-1162 - [c24]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: 2129-2137 - [i11]Xiao Liu, Tian Xia, Jiang Wang, Yuanqing Lin:
Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition. CoRR abs/1603.06765 (2016) - [i10]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection. CoRR abs/1604.04693 (2016) - [i9]Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. CoRR abs/1605.06217 (2016) - 2015
- [j7]Xiaoyu Wang
, Ming Yang
, Shenghuo Zhu, Yuanqing Lin:
Regionlets for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2071-2084 (2015) - [j6]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): 2573-2587 (2015) - [j5]Shiliang Zhang, Xiaoyu Wang
, Yuanqing Lin, Qi Tian:
Cross Indexing With Grouplets. IEEE Trans. Multim. 17(11): 1969-1979 (2015) - [c23]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Data-driven 3D Voxel Patterns for object category recognition. CVPR 2015: 1903-1911 - [c22]Saining Xie, Tianbao Yang, Xiaoyu Wang
, Yuanqing Lin:
Hyper-class augmented and regularized deep learning for fine-grained image classification. CVPR 2015: 2645-2654 - [c21]Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin:
Fine-grained visual categorization via multi-stage metric learning. CVPR 2015: 3716-3724 - [i8]Feng Zhou, Yuanqing Lin:
Fine-grained Image Classification by Exploring Bipartite-Graph Labels. CoRR abs/1512.02665 (2015) - [i7]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CoRR abs/1512.02895 (2015) - [i6]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 abs/1512.05227 (2015) - 2014
- [j4]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): 601-611 (2014) - [c20]Chengjiang Long, Xiaoyu Wang
, Gang Hua, Ming Yang, Yuanqing Lin:
Accurate Object Detection with Location Relaxation and Regionlets Re-localization. ACCV (1) 2014: 260-275 - [c19]Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin:
Generic Object Detection with Dense Neural Patterns and Regionlets. BMVC 2014 - [i5]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 abs/1402.0453 (2014) - [i4]Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin:
Generic Object Detection With Dense Neural Patterns and Regionlets. CoRR abs/1404.4316 (2014) - [i3]Xiaoyu Wang, Tianbao Yang, Guobin Chen, Yuanqing Lin:
Object-centric Sampling for Fine-grained Image Classification. CoRR abs/1412.3161 (2014) - 2013
- [c18]Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese:
Dense Object Reconstruction with Semantic Priors. CVPR 2013: 1264-1271 - [c17]Xiaoyu Wang
, Ming Yang, Shenghuo Zhu, Yuanqing Lin:
Regionlets for Generic Object Detection. ICCV 2013: 17-24 - [c16]Shiliang Zhang, Ming Yang, Xiaoyu Wang
, Yuanqing Lin, Qi Tian:
Semantic-Aware Co-indexing for Image Retrieval. ICCV 2013: 1673-1680 - [c15]Anelia Angelova, Shenghuo Zhu, Yuanqing Lin:
Image segmentation for large-scale subcategory flower recognition. WACV 2013: 39-45 - [i2]Tianbao Yang, Shenghuo Zhu, Rong Jin, Yuanqing Lin:
On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent. CoRR abs/1312.1031 (2013) - 2012
- [c14]Olga Russakovsky
, Yuanqing Lin, Kai Yu, Li Fei-Fei:
Object-Centric Spatial Pooling for Image Classification. ECCV (2) 2012: 1-15 - [c13]Chunhui Gu, Pablo Andrés Arbeláez
, Yuanqing Lin, Kai Yu, Jitendra Malik:
Multi-component Models for Object Detection. ECCV (4) 2012: 445-458 - [i1]Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang:
Influence Analysis in the Blogosphere. CoRR abs/1212.5863 (2012) - 2011
- [c12]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: 1689-1696 - [c11]Kai Yu, Yuanqing Lin, John D. Lafferty:
Learning image representations from the pixel level via hierarchical sparse coding. CVPR 2011: 1713-1720 - 2010
- [j3]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): 2003-2008 (2010) - [c10]Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu:
Deep Coding Network. NIPS 2010: 1405-1413 - [c9]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
2000 – 2009
- 2009
- [c8]Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar:
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS 2009: 360-367 - 2007
- [j2]Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee:
Multiplicative Updates for Nonnegative Quadratic Programming. Neural Comput. 19(8): 2004-2031 (2007) - [c7]Yuanqing Lin, Jingdong Chen, Youngmoo E. Kim, Daniel D. Lee:
Blind channel identification for speech dereverberation using l1-norm sparse learning. NIPS 2007: 921-928 - 2006
- [j1]Yuanqing Lin, Daniel D. Lee:
Bayesian regularization and nonnegative deconvolution for room impulse response estimation. IEEE Trans. Signal Process. 54(3): 839-847 (2006) - [c6]Yuanqing Lin, Daniel D. Lee:
Bayesian L1-Norm Sparse Learning. ICASSP (5) 2006: 605-608 - 2005
- [c5]Yuanqing Lin, Daniel D. Lee:
Relevant deconvolution for acoustic source estimation. ICASSP (5) 2005: 529-532 - [c4]Jihun Ham, Yuanqing Lin, Daniel D. Lee:
Learning nonlinear appearance manifolds for robot localization. IROS 2005: 2971-2976 - [c3]Yuanqing Lin, Paul Vernaza, Jihun Ham, Daniel D. Lee:
Cooperative relative robot localization with audible acoustic sensing. IROS 2005: 3764-3769 - 2004
- [c2]Yuanqing Lin, Daniel D. Lee, Lawrence K. Saul:
Nonnegative deconvolution for time of arrival estimation. ICASSP (2) 2004: 377-380 - [c1]Yuanqing Lin, Daniel D. Lee:
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. NIPS 2004: 809-816
Coauthor Index
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