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2020 – today
- 2024
[j33]Yongxian Wei
, Xiu-Shen Wei:
Task-specific Part Discovery for Fine-grained Few-shot Classification. Mach. Intell. Res. 21(5): 954-965 (2024)- [j32]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 117-133 (2024) - [j31]Xiu-Shen Wei, He-Yang Xu, Zhiwen Yang, Chen-Long Duan, Yuxin Peng:
Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2091-2103 (2024) - [j30]Xiu-Shen Wei, Hong-Tao Yu, Anqi Xu, Faen Zhang, Yuxin Peng:
MECOM: A Meta-Completion Network for Fine-Grained Recognition With Incomplete Multi-Modalities. IEEE Trans. Image Process. 33: 3456-3469 (2024) - [c39]Bao-Feng Tan, Yang-Yang Li, Peng Wang, Lin Zhao, Xiu-Shen Wei:
Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024. CLEF (Working Notes) 2024: 2223-2233 - [c38]Peng Wang, Yangyang Li, Bao-Feng Tan, Yi-Chao Zhou, Yong Li, Xiu-Shen Wei:
Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024. CLEF (Working Notes) 2024: 2234-2243 - [c37]Feiran Hu, Chen-Lin Zhang, Jiangliang Guo, Xiu-Shen Wei, Lin Zhao, Anqi Xu, Lingyan Gao:
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing. CVPR 2024: 17648-17657 - 2023
- [j29]Jiabao Wang, Yang Li, Xiu-Shen Wei, Hang Li, Zhuang Miao, Rui Zhang:
Bridge the gap between supervised and unsupervised learning for fine-grained classification. Inf. Sci. 649: 119653 (2023) - [j28]Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6969-6983 (2023) - [j27]Xiu-Shen Wei, Yang Shen, Xuhao Sun, Peng Wang, Yuxin Peng:
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13904-13920 (2023) - [j26]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Xian-Sheng Hua:
Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. IEEE Trans. Multim. 25: 3284-3295 (2023) - [j25]Hao Chen, Xiu-Shen Wei, Liang Xiao:
Prototype Learning for Automatic Check-Out. IEEE Trans. Multim. 25: 9147-9160 (2023) - [j24]Ying-Peng Tang, Xiu-Shen Wei, Borui Zhao, Sheng-Jun Huang:
QBox: Partial Transfer Learning With Active Querying for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3058-3070 (2023) - [j23]Xiu-Shen Wei, Yu-Yan Xu, Chen-Lin Zhang, Gui-Song Xia, Yuxin Peng:
CAT: a coarse-to-fine attention tree for semantic change detection. Vis. Intell. 1(1) (2023) - [c36]Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Yong Li, Xiu-Shen Wei:
A Deep Learning based Solution to FungiCLEF2023. CLEF (Working Notes) 2023: 2051-2059 - [c35]Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei:
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023. CLEF (Working Notes) 2023: 2060-2070 - [c34]Yang Shen, Xuhao Sun, Xiu-Shen Wei:
Equiangular Basis Vectors. CVPR 2023: 11755-11765 - [c33]Jiabei He, Yang Shen, Xiu-Shen Wei, Ye Wu:
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning. ACM Multimedia 2023: 9656-9659 - [c32]Shu-Lin Xu, Yifan Sun, Faen Zhang, Anqi Xu, Xiu-Shen Wei, Yi Yang:
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels. NeurIPS 2023 - [i37]Xiu-Shen Wei, Xuhao Sun, Yang Shen, Anqi Xu, Peng Wang, Faen Zhang:
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition. CoRR abs/2302.03264 (2023) - [i36]Yang Shen, Xuhao Sun, Xiu-Shen Wei:
Equiangular Basis Vectors. CoRR abs/2303.11637 (2023) - [i35]Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei:
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023. CoRR abs/2307.09748 (2023) - [i34]Jiabei He, Yang Shen, Xiu-Shen Wei, Ye Wu:
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning. CoRR abs/2310.09600 (2023) - [i33]Shu-Lin Xu, Yifan Sun, Faen Zhang, Anqi Xu, Xiu-Shen Wei, Yi Yang:
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels. CoRR abs/2311.11019 (2023) - [i32]Xiu-Shen Wei, Yang Shen, Xuhao Sun, Peng Wang, Yuxin Peng:
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval. CoRR abs/2311.12894 (2023) - 2022
- [j22]Xiu-Shen Wei, Shu-Lin Xu, Hao Chen, Liang Xiao, Yuxin Peng:
Prototype-based classifier learning for long-tailed visual recognition. Sci. China Inf. Sci. 65(6): 1-15 (2022) - [j21]Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu, Jian Yang:
RPC: a large-scale and fine-grained retail product checkout dataset. Sci. China Inf. Sci. 65(9): 1-2 (2022) - [j20]Min-Ling Zhang, Xiu-Shen Wei, Gao Huang:
Preface. J. Comput. Sci. Technol. 37(3): 505-506 (2022) - [j19]Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis With Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8927-8948 (2022) - [j18]Xin Jin, Yanping Xie, Xiu-Shen Wei, Borui Zhao, Zhao-Min Chen, Xiaoyang Tan:
Delving deep into spatial pooling for squeeze-and-excitation networks. Pattern Recognit. 121: 108159 (2022) - [j17]Hao Chen, Yangzhun Zhou, Jun Li, Xiu-Shen Wei, Liang Xiao:
Self-Supervised Multi-Category Counting Networks for Automatic Check-Out. IEEE Trans. Image Process. 31: 3004-3016 (2022) - [j16]Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang:
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. IEEE Trans. Multim. 24: 546-557 (2022) - [j15]Xin Jin, Yanping Xie, Xiu-Shen Wei, Borui Zhao, Yongshun Zhang, Xiaoyang Tan, Yang Yu:
A Lightweight Encoder-Decoder Path for Deep Residual Networks. IEEE Trans. Neural Networks Learn. Syst. 33(2): 866-878 (2022) - [c31]Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang:
Dual Attention Networks for Few-Shot Fine-Grained Recognition. AAAI 2022: 2911-2919 - [c30]Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun:
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance. CVPR 2022: 6990-6999 - [c29]Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao:
Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars. ECCV (25) 2022: 277-293 - [c28]Yang Shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang:
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval. ECCV (14) 2022: 531-548 - [c27]Yang Shen, Xuhao Sun, Xiu-Shen Wei, Hanxu Hu, Zhipeng Chen:
A Channel Mix Method for Fine-Grained Cross-Modal Retrieval. ICME 2022: 1-6 - [c26]Yu-Yan Xu, Yang Shen, Xiu-Shen Wei, Jian Yang:
Webly-Supervised Fine-Grained Recognition with Partial Label Learning. IJCAI 2022: 1502-1508 - [c25]Xiu-Shen Wei, He-Yang Xu, Faen Zhang, Yuxin Peng, Wei Zhou:
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. NeurIPS 2022 - [i31]Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun:
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance. CoRR abs/2201.02784 (2022) - [i30]Jiabao Wang, Yang Li, Xiu-Shen Wei, Hang Li, Zhuang Miao, Rui Zhang:
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification. CoRR abs/2203.00441 (2022) - [i29]Xiu-Shen Wei, He-Yang Xu, Faen Zhang, Yuxin Peng, Wei Zhou:
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. CoRR abs/2209.13777 (2022) - [i28]Yang Shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang:
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval. CoRR abs/2209.13833 (2022) - 2021
- [j14]Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [j13]Zhao-Min Chen, Quan Cui, Xiu-Shen Wei, Xin Jin, Yanwen Guo:
Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition. IEEE Trans. Multim. 23: 1827-1840 (2021) - [c24]Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu:
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. AAAI 2021: 3447-3455 - [c23]Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang:
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification. CVPR 2021: 943-952 - [c22]Yin-Yin He, Jianxin Wu, Xiu-Shen Wei:
Distilling Virtual Examples for Long-tailed Recognition. ICCV 2021: 235-244 - [c21]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. ICCV 2021: 10582-10591 - [c20]Xiu-Shen Wei, Jufeng Yang, Han-Jia Ye, Jian Yang:
MULL'21: First International Workshop on Multimedia Understanding with Less Labeling. ACM Multimedia 2021: 5704-5705 - [c19]Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang:
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval. NeurIPS 2021: 5720-5730 - [e1]Xiu-Shen Wei, Han-Jia Ye, Jufeng Yang, Jian Yang:
MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8681-4 [contents] - [i27]Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang:
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. CoRR abs/2101.09412 (2021) - [i26]Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang:
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification. CoRR abs/2103.14267 (2021) - [i25]Yin-Yin He, Jianxin Wu, Xiu-Shen Wei:
Distilling Virtual Examples for Long-tailed Recognition. CoRR abs/2103.15042 (2021) - [i24]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Multiple Tasks via Learning to Decompose. CoRR abs/2106.08112 (2021) - [i23]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. CoRR abs/2108.02399 (2021) - [i22]Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis with Deep Learning: A Survey. CoRR abs/2111.06119 (2021) - 2020
- [j12]Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1654-1669 (2020) - [j11]Yanrui Bin, Zhao-Min Chen, Xiu-Shen Wei, Xinya Chen, Changxin Gao, Nong Sang:
Structure-aware human pose estimation with graph convolutional networks. Pattern Recognit. 106: 107410 (2020) - [j10]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. IEEE Signal Process. Lett. 27: 1545-1549 (2020) - [j9]Kaitao Song, Xiu-Shen Wei, Xiangbo Shu, Ren-Jie Song, Jianfeng Lu:
Bi-Modal Progressive Mask Attention for Fine-Grained Recognition. IEEE Trans. Image Process. 29: 7006-7018 (2020) - [c18]Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen:
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. CVPR 2020: 9716-9725 - [c17]Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei:
Exploring Categorical Regularization for Domain Adaptive Object Detection. CVPR 2020: 11721-11730 - [c16]Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. ECCV (3) 2020: 189-205 - [c15]Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo:
Hierarchical Context Embedding for Region-Based Object Detection. ECCV (21) 2020: 633-648 - [c14]Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang:
CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. ACM Multimedia 2020: 92-101 - [c13]Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu:
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. ACM Multimedia 2020: 4461-4464 - [c12]Yimu Wang, Xiu-Shen Wei, Bo Xue, Lijun Zhang:
Piecewise Hashing: A Deep Hashing Method for Large-Scale Fine-Grained Search. PRCV (2) 2020: 432-444 - [c11]Yimu Wang, Ren-Jie Song, Xiu-Shen Wei, Lijun Zhang:
An Adversarial Domain Adaptation Network For Cross-Domain Fine-Grained Recognition. WACV 2020: 1217-1225 - [i21]Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei:
Exploring Categorical Regularization for Domain Adaptive Object Detection. CoRR abs/2003.09152 (2020) - [i20]Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu:
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. CoRR abs/2005.02154 (2020) - [i19]Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei:
Learning Semantically Enhanced Feature for Fine-Grained Image Classification. CoRR abs/2006.13457 (2020) - [i18]Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo:
Hierarchical Context Embedding for Region-based Object Detection. CoRR abs/2008.01338 (2020) - [i17]Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. CoRR abs/2008.01369 (2020) - [i16]Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang:
Salvage Reusable Samples from Noisy Data for Robust Learning. CoRR abs/2008.02427 (2020) - [i15]Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang:
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. CoRR abs/2012.14672 (2020)
2010 – 2019
- 2019
- [j8]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88: 113-126 (2019) - [j7]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. 28(12): 6116-6125 (2019) - [c10]Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Multi-Label Image Recognition With Graph Convolutional Networks. CVPR 2019: 5177-5186 - [c9]Zhao-Min Chen, Xiu-Shen Wei, Xin Jin, Yanwen Guo:
Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding. ICME 2019: 622-627 - [i14]Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu:
RPC: A Large-Scale Retail Product Checkout Dataset. CoRR abs/1901.07249 (2019) - [i13]Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Multi-Label Image Recognition with Graph Convolutional Networks. CoRR abs/1904.03582 (2019) - [i12]Xiu-Shen Wei, Jianxin Wu, Quan Cui:
Deep Learning for Fine-Grained Image Analysis: A Survey. CoRR abs/1907.03069 (2019) - [i11]Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen:
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition. CoRR abs/1912.02413 (2019) - 2018
- [j6]Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen:
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognit. 76: 704-714 (2018) - [j5]Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu:
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Trans. Affect. Comput. 9(3): 303-315 (2018) - [c8]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) 2018: 575-591 - [i10]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR abs/1805.04288 (2018) - [i9]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR abs/1812.04239 (2018) - 2017
- [j4]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 26(6): 2868-2881 (2017) - [j3]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 28(4): 975-987 (2017) - [c7]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. ICCV 2017: 1221-1230 - [c6]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. IJCAI 2017: 3048-3054 - [c5]Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu:
In Defense of Fully Connected Layers in Visual Representation Transfer. PCM (2) 2017: 807-817 - [i8]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation. CoRR abs/1705.00389 (2017) - [i7]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. CoRR abs/1705.02758 (2017) - [i6]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR abs/1707.06397 (2017) - [i5]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. CoRR abs/1711.00253 (2017) - 2016
- [j2]Xiu-Shen Wei, Zhi-Hua Zhou:
An empirical study on image bag generators for multi-instance learning. Mach. Learn. 105(2): 155-198 (2016) - [j1]Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do:
Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. IEEE Trans. Image Process. 25(4): 1713-1725 (2016) - [c4]Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu:
Deep Bimodal Regression for Apparent Personality Analysis. ECCV Workshops (3) 2016: 311-324 - [i4]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. CoRR abs/1604.04994 (2016) - [i3]Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu:
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition. CoRR abs/1605.06878 (2016) - 2015
- [c3]Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu:
Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops 2015: 280-286 - [c2]Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops 2015: 344-350 - [i2]Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do:
Weakly Supervised Fine-Grained Image Categorization. CoRR abs/1504.04943 (2015) - [i1]Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin:
Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR abs/1504.05277 (2015) - 2014
- [c1]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Multi-instance Learning. ICDM 2014: 1037-1042
Coauthor Index
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