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2010 – today
- 2019
[j34]Lei Zhang, Xiantong Zhen, Ling Shao, Jingkuan Song:
Learning Match Kernels on Grassmann Manifolds for Action Recognition. IEEE Trans. Image Processing 28(1): 205-215 (2019)- 2018
- [j33]Xuanhan Wang, Lianli Gao, Jingkuan Song, Xiantong Zhen, Nicu Sebe, Heng Tao Shen:
Deep appearance and motion learning for egocentric activity recognition. Neurocomputing 275: 438-447 (2018) - [j32]Rongbo Shen, Fuhao Zou, Jingkuan Song, Kezhou Yan, Ke Zhou:
EFUI: An ensemble framework using uncertain inference for pornographic image recognition. Neurocomputing 322: 166-176 (2018) - [j31]Fuhao Zou, Xiaoman Tang, Kai Li, Yunfei Wang, Jingkuan Song, Shuangyuan Yang, Hefei Ling:
Hidden semantic hashing for fast retrieval over large scale document collection. Multimedia Tools Appl. 77(3): 3677-3697 (2018) - [j30]Liangfu Cao, Lianli Gao, Jingkuan Song, Fumin Shen, Yuan Wang:
Multiple hierarchical deep hashing for large scale image retrieval. Multimedia Tools Appl. 77(9): 10471-10484 (2018) - [j29]Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, Heng Tao Shen:
A Survey on Learning to Hash. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 769-790 (2018) - [j28]Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe:
Quantization-based hashing: a general framework for scalable image and video retrieval. Pattern Recognition 75: 175-187 (2018) - [j27]Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder. IEEE Trans. Image Processing 27(7): 3210-3221 (2018) - [j26]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval. IEEE Trans. Image Processing 27(9): 4410-4421 (2018) - [j25]Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song:
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. IEEE Trans. Knowl. Data Eng. 30(3): 517-529 (2018) - [j24]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Trans. Knowl. Data Eng. 30(12): 2354-2366 (2018) - [c43]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen:
Binary Generative Adversarial Networks for Image Retrieval. AAAI 2018: 394-401 - [c42]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
Deep Region Hashing for Generic Instance Search from Images. AAAI 2018: 402-409 - [c41]Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen:
MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning. AAAI 2018: 5545-5552 - [c40]
- [c39]Lianli Gao, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen:
Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints. IJCAI 2018: 719-725 - [c38]Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen:
Dual Conditional GANs for Face Aging and Rejuvenation. IJCAI 2018: 899-905 - [c37]Jingkuan Song, Pengpeng Zeng, Lianli Gao, Heng Tao Shen:
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering. IJCAI 2018: 906-912 - [c36]Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng:
Complementary Binary Quantization for Joint Multiple Indexing. IJCAI 2018: 2114-2120 - [c35]
- [c34]
- [c33]Lianli Gao, Pengpeng Zeng, Jingkuan Song, Xianglong Liu, Heng Tao Shen:
Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA. ACM Multimedia 2018: 1742-1750 - [c32]Teng Long, Xing Xu, Youyou Li, Fumin Shen, Jingkuan Song, Heng Tao Shen:
Pseudo Transfer with Marginalized Corrupted Attribute for Zero-shot Learning. ACM Multimedia 2018: 1802-1810 - [c31]
- [c30]Jingkuan Song, Zhilong Zhou, Lianli Gao, Xing Xu, Heng Tao Shen:
Cumulative Nets for Edge Detection. ACM Multimedia 2018: 1847-1855 - [r1]Jingkuan Song:
Indexing Techniques for Multimedia Data Retrieval. Encyclopedia of Database Systems (2nd ed.) 2018 - [i16]Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder. CoRR abs/1802.02305 (2018) - [i15]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval. CoRR abs/1803.01504 (2018) - [i14]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. CoRR abs/1809.07053 (2018) - [i13]Jingkuan Song, Xiangpeng Li, Lianli Gao, Heng Tao Shen:
Hierarchical LSTMs with Adaptive Attention for Visual Captioning. CoRR abs/1812.11004 (2018) - 2017
- [j23]Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang:
Graph self-representation method for unsupervised feature selection. Neurocomputing 220: 130-137 (2017) - [j22]Lianli Gao, Yuan Wang, Dongsheng Li, Junming Shao, Jingkuan Song:
Real-time social media retrieval with spatial, temporal and social constraints. Neurocomputing 253: 77-88 (2017) - [j21]Xiangpeng Li, Lianli Gao, Xing Xu, Jie Shao, Fumin Shen, Jingkuan Song:
Kernel based latent semantic sparse hashing for large-scale retrieval from heterogeneous data sources. Neurocomputing 253: 89-96 (2017) - [j20]Sixiu Chen, Fumin Shen, Yang Yang, Xing Xu, Jingkuan Song:
Supervised hashing with adaptive discrete optimization for multimedia retrieval. Neurocomputing 253: 97-103 (2017) - [j19]Xiaohui Cheng, Yonghua Zhu, Jingkuan Song, Guoqiu Wen, Wei He:
A novel low-rank hypergraph feature selection for multi-view classification. Neurocomputing 253: 115-121 (2017) - [j18]Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao:
Learning in high-dimensional multimedia data: the state of the art. Multimedia Syst. 23(3): 303-313 (2017) - [j17]Xuanhan Wang, Lianli Gao, Jingkuan Song, Heng Tao Shen:
Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition. IEEE Signal Process. Lett. 24(4): 510-514 (2017) - [j16]Litao Yu, Zi Huang, Fumin Shen, Jingkuan Song, Heng Tao Shen, Xiaofang Zhou:
Bilinear Optimized Product Quantization for Scalable Visual Content Analysis. IEEE Trans. Image Processing 26(10): 5057-5069 (2017) - [j15]Jingkuan Song, Hervé Jégou, Cees Snoek, Q. Tian, Nicu Sebe:
Guest Editorial: Large-Scale Multimedia Data Retrieval, Classification, and Understanding. IEEE Trans. Multimedia 19(9): 1965-1967 (2017) - [c29]Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen:
Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton. AAAI 2017: 1323-1330 - [c28]Liangfu Cao, Lianli Gao, Jingkuan Song, Xing Xu, Heng Tao Shen:
Jointly Learning Attentions with Semantic Cross-Modal Correlation for Visual Question Answering. ADC 2017: 248-260 - [c27]Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song:
Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning. CVPR 2017: 2007-2016 - [c26]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. ICCV 2017: 4117-4126 - [c25]Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang:
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM 2017: 1075-1080 - [c24]Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang, Heng Tao Shen:
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning. IJCAI 2017: 2737-2743 - [c23]Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI 2017: 375-378 - [c22]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine:
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) 2017: 116-124 - [c21]Lei Zhu, Zi Huang, Xiaojun Chang, Jingkuan Song, Heng Tao Shen:
Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark Search. ACM Multimedia 2017: 726-734 - [c20]Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao:
Deep Discrete Hashing with Self-supervised Pairwise Labels. ECML/PKDD (1) 2017: 223-238 - [c19]Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen:
Classification by Retrieval: Binarizing Data and Classifiers. SIGIR 2017: 595-604 - [i12]Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
Deep Region Hashing for Efficient Large-scale Instance Search from Images. CoRR abs/1701.07901 (2017) - [i11]Jingkuan Song, Zhao Guo, Lianli Gao, Wu Liu, Dongxiang Zhang, Heng Tao Shen:
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning. CoRR abs/1706.01231 (2017) - [i10]Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao:
Deep Discrete Hashing with Self-supervised Pairwise Labels. CoRR abs/1707.02112 (2017) - [i9]Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao:
Learning in High-Dimensional Multimedia Data: The State of the Art. CoRR abs/1707.02683 (2017) - [i8]Lei Zhu, Zi Huang, Xiaobai Liu, Xiangnan He, Jingkuan Song, Xiaofang Zhou:
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search. CoRR abs/1707.04047 (2017) - [i7]Jingkuan Song, Yuyu Guo, Lianli Gao, Xuelong Li, Alan Hanjalic, Heng Tao Shen:
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning. CoRR abs/1708.02478 (2017) - [i6]Yuming Shen, Li Liu, Ling Shao, Jingkuan Song:
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval. CoRR abs/1708.02531 (2017) - [i5]Jingkuan Song:
Binary Generative Adversarial Networks for Image Retrieval. CoRR abs/1708.04150 (2017) - 2016
- [j14]Lei Zhang, Changxi Li, Peipei Peng, Xue-Zhi Xiang, Jingkuan Song:
Towards optimal VLAD for human action recognition from still images. Image Vision Comput. 55: 53-63 (2016) - [j13]Jingkuan Song, Lianli Gao, Fuhao Zou, Yan Yan, Nicu Sebe:
Deep and fast: Deep learning hashing with semi-supervised graph construction. Image Vision Comput. 55: 101-108 (2016) - [j12]Fuhao Zou, Yu Liu, Hua Wang, Jingkuan Song, Jie Shao, Ke Zhou, Sheng Zheng:
Multi-view multi-label learning for image annotation. Multimedia Tools Appl. 75(20): 12627-12644 (2016) - [j11]Jingkuan Song, Lianli Gao, Feiping Nie, Heng Tao Shen, Yan Yan, Nicu Sebe:
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation. IEEE Trans. Image Processing 25(11): 4999-5011 (2016) - [j10]Fumin Shen, Xiang Zhou, Yang Yang, Jingkuan Song, Heng Tao Shen, Dacheng Tao:
A Fast Optimization Method for General Binary Code Learning. IEEE Trans. Image Processing 25(12): 5610-5621 (2016) - [j9]Litao Yu, Yang Yang, Zi Huang, Peng Wang, Jingkuan Song, Heng Tao Shen:
Web Video Event Recognition by Semantic Analysis From Ubiquitous Documents. IEEE Trans. Image Processing 25(12): 5689-5701 (2016) - [j8]Jingkuan Song, Heng Tao Shen, Jianfeng Wang, Zi Huang, Nicu Sebe, Jingdong Wang:
A Distance-Computation-Free Search Scheme for Binary Code Databases. IEEE Trans. Multimedia 18(3): 484-495 (2016) - [j7]Gaowen Liu, Yan Yan, Ramanathan Subramanian, Jingkuan Song, Guoyu Lu, Nicu Sebe:
Active domain adaptation with noisy labels for multimedia analysis. World Wide Web 19(2): 199-215 (2016) - [c18]Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen:
Graph-without-cut: An Ideal Graph Learning for Image Segmentation. AAAI 2016: 1188-1194 - [c17]Yanli Ji, Jiaming Li, Hong Cheng, Xing Xu, Jingkuan Song:
Multi-cue Information Fusion for Two-Layer Activity Recognition. ACCV Workshops (3) 2016: 273-285 - [c16]Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition. ICPR 2016: 3228-3233 - [c15]Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen, Li He, Jingkuan Song:
Cross-modal Retrieval with Label Completion. ACM Multimedia 2016: 302-306 - [c14]Zhao Guo, Lianli Gao, Jingkuan Song, Xing Xu, Jie Shao, Heng Tao Shen:
Attention-based LSTM with Semantic Consistency for Videos Captioning. ACM Multimedia 2016: 357-361 - [c13]Jingkuan Song, Lianli Gao, Mihai Marian Puscas, Feiping Nie, Fumin Shen, Nicu Sebe:
Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration. ACM Multimedia 2016: 831-840 - [c12]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Academic Coupled Dictionary Learning for Sketch-based Image Retrieval. ACM Multimedia 2016: 1326-1335 - [i4]Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, Heng Tao Shen:
A Survey on Learning to Hash. CoRR abs/1606.00185 (2016) - 2015
- [j6]Fuhao Zou, Yunfei Wang, Yang Yang, Ke Zhou, Yunpeng Chen, Jingkuan Song:
Supervised feature learning via l2-norm regularized logistic regression for 3D object recognition. Neurocomputing 151: 603-611 (2015) - [j5]Jianfeng Wang, Jingdong Wang, Jingkuan Song, Xin-Shun Xu, Heng Tao Shen, Shipeng Li:
Optimized Cartesian K-Means. IEEE Trans. Knowl. Data Eng. 27(1): 180-192 (2015) - [j4]Fuhao Zou, Yunpeng Chen, Jingkuan Song, Ke Zhou, Yang Yang, Nicu Sebe:
Compact Image Fingerprint Via Multiple Kernel Hashing. IEEE Trans. Multimedia 17(7): 1006-1018 (2015) - [c11]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. BMVC 2015: 8.1-8.12 - [c10]Lianli Gao, Jingkuan Song, Feiping Nie, Yan Yan, Nicu Sebe, Heng Tao Shen:
Optimal graph learning with partial tags and multiple features for image and video annotation. CVPR 2015: 4371-4379 - [c9]
- [c8]Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen:
Zero-shot Image Categorization by Image Correlation Exploration. ICMR 2015: 487-490 - [c7]Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang, Nicu Sebe:
Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrieval. ACM Multimedia 2015: 827-830 - [c6]Lianli Gao, Jingkuan Song, Fuhao Zou, Dongxiang Zhang, Jie Shao:
Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning. ACM Multimedia 2015: 903-906 - [c5]Ke Zhou, Yu Liu, Jingkuan Song, Linyu Yan, Fuhao Zou, Fumin Shen:
Deep Self-taught Hashing for Image Retrieval. ACM Multimedia 2015: 1215-1218 - [i3]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. CoRR abs/1510.01553 (2015) - 2014
- [j3]Jingkuan Song, Yi Yang, Xuelong Li, Zi Huang, Yang Yang:
Robust Hashing With Local Models for Approximate Similarity Search. IEEE Trans. Cybernetics 44(7): 1225-1236 (2014) - [c4]Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe:
Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification. ICIP 2014: 2869-2873 - [i2]Jianfeng Wang, Jingdong Wang, Jingkuan Song, Xin-Shun Xu, Heng Tao Shen, Shipeng Li:
Optimized Cartesian $K$-Means. CoRR abs/1405.4054 (2014) - [i1]Jingdong Wang, Heng Tao Shen, Jingkuan Song, Jianqiu Ji:
Hashing for Similarity Search: A Survey. CoRR abs/1408.2927 (2014) - 2013
- [j2]Yi Yang, Jingkuan Song, Zi Huang, Zhigang Ma, Nicu Sebe, Alexander G. Hauptmann:
Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis. IEEE Trans. Multimedia 15(3): 572-581 (2013) - [j1]Jingkuan Song, Yi Yang, Zi Huang, Heng Tao Shen, Jiebo Luo:
Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval. IEEE Trans. Multimedia 15(8): 1997-2008 (2013) - [c3]Jingkuan Song:
Effective hashing for large-scale multimedia search. SIGMOD/PODS Ph.D. Symposium 2013: 55-60 - [c2]Jingkuan Song, Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen:
Inter-media hashing for large-scale retrieval from heterogeneous data sources. SIGMOD Conference 2013: 785-796 - 2011
- [c1]Jingkuan Song, Yi Yang, Zi Huang, Heng Tao Shen, Richang Hong:
Multiple feature hashing for real-time large scale near-duplicate video retrieval. ACM Multimedia 2011: 423-432
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