Random Hashing
- Alexandr Andoni, Ilya Razenshteyn, Negev Shekel Nosatzki. LSH forest: Practical algorithms made theoretical. ACM-SIAM Symposium on Discrete Algorithms, 2017 [paper] [bibtex]
@inproceedings{andoni2017lsh,
title={LSH forest: Practical algorithms made theoretical},
author={Andoni, Alexandr and Razenshteyn, Ilya and Nosatzki, Negev Shekel},
booktitle={Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms},
pages={67--78},
year={2017},
organization={SIAM}
}
- Alexandr Andoni, Ilya Razenshteyn. Tight lower bounds for data-dependent locality-sensitive hashing. arXiv, 2015 [paper] [bibtex]
@article{andoni2015tight,
title={Tight lower bounds for data-dependent locality-sensitive hashing},
author={Andoni, Alexandr and Razenshteyn, Ilya},
journal={arXiv preprint arXiv:1507.04299},
year={2015}
}
- Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt. Practical and optimal LSH for angular distance. Neural Information Processing Systems, 2015 [paper] [bibtex]
@inproceedings{andoni2015practical,
title={Practical and optimal LSH for angular distance},
author={Andoni, Alexandr and Indyk, Piotr and Laarhoven, Thijs and Razenshteyn, Ilya and Schmidt, Ludwig},
booktitle={Advances in Neural Information Processing Systems},
pages={1225--1233},
year={2015}
}
- Alexandr Andoni, Piotr Indyk, Huy L Nguyen, Ilya Razenshteyn. Beyond locality-sensitive hashing. ACM-SIAM Symposium on Discrete Algorithms, 2014 [paper] [bibtex]
@inproceedings{andoni2014beyond,
title={Beyond locality-sensitive hashing},
author={Andoni, Alexandr and Indyk, Piotr and Nguyen, Huy L and Razenshteyn, Ilya},
booktitle={Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete algorithms},
pages={1018--1028},
year={2014},
organization={Society for Industrial and Applied Mathematics}
}
- A Shrivastava, P Li . Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS). Neural Information Processing Systems, 2014 [paper] [bibtex]
@inproceedings{shrivastava2014asymmetric,
title={Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)},
author={Shrivastava, Anshumali and Li, Ping},
booktitle={Advances in Neural Information Processing Systems},
pages={2321--2329},
year={2014}
}
- Alexandr Andoni. Nearest Neighbor Search: the Old, the New, and the Impossible. Massachusetts Institute of Technology, 2009 [paper] [bibtex]
@phdthesis{andoni2009nearest,
title={Nearest neighbor search: the old, the new, and the impossible},
author={Andoni, Alexandr},
year={2009},
school={Massachusetts Institute of Technology}
}
- Alexandr Andoni, Piotr Indyk, Robert Krauthgamer, Huy L Nguyen. Approximate line nearest neighbor in high dimensions. ACM-SIAM Symposium on Discrete Algorithms, 2009 [paper] [bibtex]
@inproceedings{andoni2009approximate,
title={Approximate line nearest neighbor in high dimensions},
author={Andoni, Alexandr and Indyk, Piotr and Krauthgamer, Robert and Nguyen, Huy L},
booktitle={Proceedings of the twentieth annual ACM-SIAM symposium on Discrete algorithms},
pages={293--301},
year={2009},
organization={SIAM}
}
- Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk. Nearest-neighbor methods in learning and vision. IEEE Trans. Neural Networks, 2008 [paper] [bibtex]
@article{shakhnarovich2008nearest,
title={Nearest-neighbor methods in learning and vision},
author={Shakhnarovich, Gregory and Darrell, Trevor and Indyk, Piotr}
}
- Alexandr Andoni, Dorian Croitoru, Mihai Patrascu. Hardness of nearest neighbor under L-infinity. Foundations of Computer Science, 2008 [paper] [bibtex]
@inproceedings{andoni2008hardness,
title={Hardness of nearest neighbor under L-infinity},
author={Andoni, Alexandr and Croitoru, Dorian and Patrascu, Mihai},
booktitle={Foundations of Computer Science, 2008. FOCS'08. IEEE 49th Annual IEEE Symposium on},
pages={424--433},
year={2008},
organization={IEEE}
}
- Piotr Indyk, Assaf Naor. Nearest-neighbor-preserving embeddings. ACM Transactions on Algorithms, 2007 [paper] [bibtex]
@article{indyk2007nearest,
title={Nearest-neighbor-preserving embeddings},
author={Indyk, Piotr and Naor, Assaf},
journal={ACM Transactions on Algorithms (TALG)},
volume={3},
number={3},
pages={31},
year={2007},
publisher={ACM}
}
- Alexandr Andoni, Piotr Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Foundations of Computer Science, 2006 [paper] [bibtex]
@inproceedings{andoni2006near,
title={Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions},
author={Andoni, Alexandr and Indyk, Piotr},
booktitle={Foundations of Computer Science, 2006. FOCS'06. 47th Annual IEEE Symposium on},
pages={459--468},
year={2006},
organization={IEEE}
}
- Piotr Indyk. Near optimal hashing algorithms for approximate near (est) neighbor problem. Workshop on Algorithms for Modern Massive Data Sets, 2006 [paper] [bibtex]
@inproceedings{indyk2006near,
title={Near optimal hashing algorithms for approximate near (est) neighbor problem},
author={Indyk, Piotr},
booktitle={MMDS 2006. Workshop on Algorithms for Modern Massive Data Sets, Stanford, USA},
year={2006}
}
- Alexandr Andoni, Piotr Indyk. Efficient algorithms for substring near neighbor problem. ACM-SIAM Symposium on Discrete Algorithms, 2006 [paper] [bibtex]
@inproceedings{andoni2006efficient,
title={Efficient algorithms for substring near neighbor problem},
author={Andoni, Alexandr and Indyk, Piotr},
booktitle={Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm},
pages={1203--1212},
year={2006},
organization={Society for Industrial and Applied Mathematics}
}
- Alexandr Andoni, Piotr Indyk. New LSH-based algorithm for approximate nearest neighbor. Massachusetts Institute of Technology, 2005 [paper] [bibtex]
@article{andoni2005new,
title={New LSH-based algorithm for approximate nearest neighbor},
author={Andoni, Alexandr and Indyk, Piotr},
year={2005}
}
- Alexandr Andoni. Approximate nearest neighbor problem in high dimensions. Massachusetts Institute of Technology, 2005 [paper] [bibtex]
@phdthesis{andoni2005approximate,
title={Approximate nearest neighbor problem in high dimensions},
author={Andoni, Alexandr},
year={2005},
school={Massachusetts Institute of Technology}
}
- Piotr Indyk. Approximate nearest neighbor under edit distance via product metrics. Symposium on Computational Geometry, 2004 [paper] [bibtex]
@inproceedings{indyk2004approximate,
title={Approximate nearest neighbor under edit distance via product metrics},
author={Indyk, Piotr},
booktitle={Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms},
pages={646--650},
year={2004},
organization={Society for Industrial and Applied Mathematics}
}
- Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab S Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. Symposium on Computational Geometry, 2004 [paper] [bibtex]
@inproceedings{datar2004locality,
title={Locality-sensitive hashing scheme based on p-stable distributions},
author={Datar, Mayur and Immorlica, Nicole and Indyk, Piotr and Mirrokni, Vahab S},
booktitle={Proceedings of the twentieth annual symposium on Computational geometry},
pages={253--262},
year={2004},
organization={ACM}
}
- Piotr Indyk. Approximate nearest neighbor algorithms for Fréchet distance via product metrics. Symposium on Computational Geometry, 2002 [paper] [bibtex]
@inproceedings{indyk2002approximate,
title={Approximate nearest neighbor algorithms for Fr{\'e}chet distance via product metrics},
author={Indyk, Piotr},
booktitle={Proceedings of the eighteenth annual symposium on Computational geometry},
pages={102--106},
year={2002},
organization={ACM}
}
Unsupervised Hashing
- Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen. Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 [paper] [bibtex]
@article{shen2018unsupervised,
title={Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization},
author={Shen, Fumin and Xu, Yan and Liu, Li and Yang, Yang and Huang, Zi and Shen, Heng Tao},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2018},
publisher={IEEE}
}
- Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao. Learning to hash with optimized anchor embedding for scalable retrieval. IEEE Transactions on Image Processing, 2017 [paper] [bibtex]
@article{guo2017learning,
title={Learning to hash with optimized anchor embedding for scalable retrieval},
author={Guo, Yuchen and Ding, Guiguang and Liu, Li and Han, Jungong and Shao, Ling},
journal={IEEE Transactions on Image Processing},
volume={26},
number={3},
pages={1344--1354},
year={2017},
publisher={IEEE}
}
- Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu. Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Conference on Multimedia, 2017 [paper] [bibtex]
@inproceedings{hu2017pseudo,
title={Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval},
author={Hu, Qinghao and Wu, Jiaxiang and Cheng, Jian and Wu, Lifang and Lu, Hanqing},
booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
pages={1584--1590},
year={2017},
organization={ACM}
}
- Qi Dai, Jianguo Li, Jingdong Wang, Yu-Gang Jiang. Binary Optimized Hashing. ACM Multimedia Conference, 2016 [paper] [bibtex]
@inproceedings{dai2016binary,
title={Binary optimized hashing},
author={Dai, Qi and Li, Jianguo and Wang, Jingdong and Jiang, Yu-Gang},
booktitle={Proceedings of the 2016 ACM on Multimedia Conference},
pages={1247--1256},
year={2016},
organization={ACM}
}
- Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li. Large-scale unsupervised hashing with shared structure learning. IEEE transactions on cybernetics, 2015 [paper] [code] [bibtex]
@article{liu2015large,
title={Large-scale unsupervised hashing with shared structure learning},
author={Liu, Xianglong and Mu, Yadong and Zhang, Danchen and Lang, Bo and Li, Xuelong},
journal={IEEE transactions on cybernetics},
volume={45},
number={9},
pages={1811--1822},
year={2015},
publisher={IEEE}
}
- Yan Xia, Kaiming He, Pushmeet Kohli, Jian Sun. Sparse Projections for High-Dimensional Binary Codes. IEEE Conference on Computer Vision and Pattern Recognition, 2015 [paper] [bibtex]
@inproceedings{xia2015sparse,
title={Sparse projections for high-dimensional binary codes},
author={Xia, Yan and He, Kaiming and Kohli, Pushmeet and Sun, Jian},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={3332--3339},
year={2015}
}
- Tiezheng Ge, Kaiming He, Jian Sun. Product Sparse Coding. IEEE Conference on Computer Vision and Pattern Recognition, 2014 [paper] [bibtex]
@inproceedings{ge2014product,
title={Product sparse coding},
author={Ge, Tiezheng and He, Kaiming and Sun, Jian},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={939--946},
year={2014}
}
- Kaiming He, Fang Wen, Jian Sun. K-means hashing: An affinity-preserving quantization method for learning binary compact codes. IEEE Conference on Computer Vision and Pattern Recognition, 2013 [paper] [bibtex]
@inproceedings{he2013k,
title={K-means hashing: An affinity-preserving quantization method for learning binary compact codes},
author={He, Kaiming and Wen, Fang and Sun, Jian},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on},
pages={2938--2945},
year={2013},
organization={IEEE}
}
- Yunchao Gong, Svetlana Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. IEEE Conference on Computer Vision and Pattern Recognition, 2011 [paper] [bibtex]
@article{gong2013iterative,
title={Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval},
author={Gong, Yunchao and Lazebnik, Svetlana and Gordo, Albert and Perronnin, Florent},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={35},
number={12},
pages={2916--2929},
year={2013},
publisher={IEEE}
}
- Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Hashing with Graphs. International Conference on Machine Learning, 2011 [paper] [bibtex]
@inproceedings{liu2011hashing,
title={Hashing with graphs},
author={Liu, Wei and Wang, Jun and Kumar, Sanjiv and Chang, Shih-Fu},
booktitle={Proceedings of the 28th international conference on machine learning (ICML-11)},
pages={1--8},
year={2011},
organization={Citeseer}
}
- Mohammad Norouzi, David J Fleet. Minimal Loss Hashing for Compact Binary Codes. International Conference on Machine Learning, 2011 [paper] [bibtex]
@inproceedings{norouzi2011minimal,
title={Minimal loss hashing for compact binary codes},
author={Norouzi, Mohammad and Blei, David M},
booktitle={Proceedings of the 28th international conference on machine learning (ICML-11)},
pages={353--360},
year={2011},
organization={Citeseer}
}
Supervised Hashing
- Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong. Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder. ARXIV, 2018 [paper] [bibtex]
@article{song2018self,
title={Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder},
author={Song, Jingkuan and Zhang, Hanwang and Li, Xiangpeng and Gao, Lianli and Wang, Meng and Hong, Richang},
journal={arXiv preprint arXiv:1802.02305},
year={2018}
}
- Chao Ma, Ivor W Tsang, Fumin Shen, Chuancai Liu. Error Correcting Input and Output Hashing. TOC(Transactions on Cybernetics), 2018 [paper] [bibtex]
@article{ma2018error,
title={Error Correcting Input and Output Hashing},
author={Ma, Chao and Tsang, Ivor W and Shen, Fumin and Liu, Chuancai},
journal={IEEE Transactions on Cybernetics},
year={2018},
publisher={IEEE}
}
- Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu. Large-Margin Supervised Hashing. International Conference on Neural Information Processing, 2017 [paper] [bibtex]
@inproceedings{zhang2017large,
title={Large-Margin Supervised Hashing},
author={Zhang, Xiaopeng and Zhang, Hui and Chen, Yong and Liu, Xianglong},
booktitle={International Conference on Neural Information Processing},
pages={259--269},
year={2017},
organization={Springer}
}
- Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou. Nonlinear discrete hashing. ACM Conference on Multimedia, 2017 [paper] [bibtex]
@article{chen2017nonlinear,
title={Nonlinear discrete hashing},
author={Chen, Zhixiang and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie},
journal={IEEE Transactions on Multimedia},
volume={19},
number={1},
pages={123--135},
year={2017},
publisher={IEEE}
}
- Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou. Nonlinear Sparse Hashing. ACM Conference on Multimedia, 2017 [paper] [bibtex]
@article{chen2017nonlinear,
title={Nonlinear Sparse Hashing},
author={Chen, Zhixiang and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie},
journal={IEEE Transactions on Multimedia},
volume={19},
number={9},
pages={1996--2009},
year={2017},
publisher={IEEE}
}
- Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao. Deep Discrete Hashing with Self-supervised Pairwise Labels. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2017 [paper] [bibtex]
@inproceedings{song2017deep,
title={Deep Discrete Hashing with Self-supervised Pairwise Labels},
author={Song, Jingkuan and He, Tao and Fan, Hangbo and Gao, Lianli},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
pages={223--238},
year={2017},
organization={Springer}
}
- Qing-Yuan Jiang, Wu-Jun Li. Asymmetric Deep Supervised Hashing. arXiv, 2017 [paper] [bibtex]
@article{jiang2017asymmetric,
title={Asymmetric Deep Supervised Hashing},
author={Jiang, Qing-Yuan and Li, Wu-Jun},
journal={arXiv preprint arXiv:1707.08325},
year={2017}
}
- Anshumali Shrivastava. Optimal densification for fast and accurate minwise hashing. arXiv, 2017 [paper] [bibtex]
@article{Shrivastava2017Optimal,
title={Optimal Densification for Fast and Accurate Minwise Hashing},
author={Shrivastava, Anshumali},
year={2017},
}
- Liangfu Cao, Lianli Gao, Jingkuan Song, Fumin Shen, Yuan Wang. Multiple hierarchical deep hashing for large scale image retrieval. Multimedia Tools and Applications, 2017 [paper] [bibtex]
@article{cao2017multiple,
title={Multiple hierarchical deep hashing for large scale image retrieval},
author={Cao, Liangfu and Gao, Lianli and Song, Jingkuan and Shen, Fumin and Wang, Yuan},
journal={Multimedia Tools and Applications},
pages={1--14},
year={2017},
publisher={Springer}
}
- Sixiu Chen, Fumin Shen, Yang Yang, Xing Xu, Jingkuan Song. Supervised hashing with adaptive discrete optimization for multimedia retrieval. Neurocomputing, 2017 [paper] [bibtex]
@article{chen2017supervised,
title={Supervised hashing with adaptive discrete optimization for multimedia retrieval},
author={Chen, Sixiu and Shen, Fumin and Yang, Yang and Xu, Xing and Song, Jingkuan},
journal={Neurocomputing},
volume={253},
pages={97--103},
year={2017},
publisher={Elsevier}
}
- Xin Yuan, Jiwen Lu, Zhixiang Chen, Jianjiang Feng, Jie Zhou. Reconstruction-based supervised hashing. IEEE International Conference on Multimedia and Expo, 2017 [paper] [bibtex]
@inproceedings{yuan2017reconstruction,
title={Reconstruction-based supervised hashing},
author={Yuan, Xin and Lu, Jiwen and Chen, Zhixiang and Feng, Jianjiang and Zhou, Jie},
booktitle={Multimedia and Expo (ICME), 2017 IEEE International Conference on},
pages={1404--1409},
year={2017},
organization={IEEE}
}
- Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han. On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. AAAI Conference on Artificial Intelligence, 2018 [paper] [bibtex]
@article{guo2017trivial,
title={On Trivial Solution and High Correlation Problems in Deep Supervised Hashing},
author={Guo, Yuchen and Zhao, Xin and Ding, Guiguang and Han, Jungong},
year={2017}
}
- Shiyuan He, Guo Ye, Mengqiu Hu, Yang Yang, Fumin Shen, Heng Tao Shen, Xuelong Li. Learning binary codes with local and inner data structure. Neurocomputing, 2017 [paper] [bibtex]
@article{he2017learning,
title={Learning binary codes with local and inner data structure},
author={He, Shiyuan and Ye, Guo and Hu, Mengqiu and Yang, Yang and Shen, Fumin and Shen, Heng Tao and Li, Xuelong},
journal={Neurocomputing},
year={2017},
publisher={Elsevier}
}
- Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao. Deep Hashing Network for Efficient Similarity Retrieval. AAAI Conference on Artificial Intelligence, 2016 [paper][code] [bibtex]
@inproceedings{zhu2016deep,
title={Deep Hashing Network for Efficient Similarity Retrieval.},
author={Zhu, Han and Long, Mingsheng and Wang, Jianmin and Cao, Yue},
booktitle={AAAI},
pages={2415--2421},
year={2016}
}
- Jingkuan Song, Lianli Gao, Fuhao Zou, Yan Yan, Nicu Sebe. Deep and fast: Deep learning hashing with semi-supervised graph construction. Image and Vision Computing, 2016 [paper] [bibtex]
@article{song2016deep,
title={Deep and fast: Deep learning hashing with semi-supervised graph construction},
author={Song, Jingkuan and Gao, Lianli and Zou, Fuhao and Yan, Yan and Sebe, Nicu},
journal={Image and Vision Computing},
volume={55},
pages={101--108},
year={2016},
publisher={Elsevier}
}
- Yang Yang, Yadan Luo, Weilun Chen, Fumin Shen, Jie Shao, Heng Tao Shen. Zero-shot hashing via transferring supervised knowledge. ACM Multimedia Conference, 2016 [paper] [bibtex]
@inproceedings{yang2016zero,
title={Zero-shot hashing via transferring supervised knowledge},
author={Yang, Yang and Luo, Yadan and Chen, Weilun and Shen, Fumin and Shao, Jie and Shen, Heng Tao},
booktitle={Proceedings of the 2016 ACM on Multimedia Conference},
pages={1286--1295},
year={2016},
organization={ACM}
}
- Zijia Lin, Guiguang Ding, Jungong Han, Jianmin Wang. Cross-view Retrieval via Supervised Semantics-Preserving Hashing. IEEE Transactions on Cybernetics, 2016 [paper] [bibtex]
@article{lin2016cross,
title={Cross-view Retrieval via Supervised Semantics-Preserving Hashing},
author={Lin, Zijia and Ding, Guiguang and Han, Jungong and Wang, Jianmin},
journal={IEEE Transactions on Cybernetics},
year={2016}
}
- Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou. Column Sampling Based Discrete Supervised Hashing. AAAI Conference on Artificial Intelligence, 2016 [paper] [bibtex]
@inproceedings{kang2016column,
title={Column Sampling Based Discrete Supervised Hashing.},
author={Kang, Wang-Cheng and Li, Wu-Jun and Zhou, Zhi-Hua},
booktitle={AAAI},
pages={1230--1236},
year={2016}
}
- Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. Deep supervised hashing for fast image retrieval. IEEE Conference on Computer Vision and Pattern Recognition, 2016 [paper] [bibtex]
@inproceedings{liu2016deep,
title={Deep supervised hashing for fast image retrieval},
author={Liu, Haomiao and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2064--2072},
year={2016}
}
- Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen. Deep quantization network for efficient image retrieval. AAAI Conference on Artificial Intelligence, 2016 [paper] [bibtex]
@inproceedings{cao2016deep,
title={Deep Quantization Network for Efficient Image Retrieval.},
author={Cao, Yue and Long, Mingsheng and Wang, Jianmin and Zhu, Han and Wen, Qingfu},
booktitle={AAAI},
pages={3457--3463},
year={2016}
}
- Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu. Correlation Autoencoder Hashing for Supervised Cross-Modal Search. International Conference on Multimedia Retrieval, 2016 [paper] [bibtex]
@inproceedings{cao2016correlation,
title={Correlation autoencoder hashing for supervised cross-modal search},
author={Cao, Yue and Long, Mingsheng and Wang, Jianmin and Zhu, Han},
booktitle={Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval},
pages={197--204},
year={2016},
organization={ACM}
}
- Guosheng Lin, Chunhua Shen, Anton van den Hengel. Supervised Hashing Using Graph Cuts and Boosted Decision Trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 [paper] [code] [bibtex]
@article{lin2015supervised,
title={Supervised hashing using graph cuts and boosted decision trees},
author={Lin, Guosheng and Shen, Chunhua and van den Hengel, Anton},
journal={IEEE transactions on pattern analysis and machine intelligence},
volume={37},
number={11},
pages={2317--2331},
year={2015},
publisher={IEEE}
}
- F Shen, C Shen, W Liu, HT Shen. Supervised Discrete Hashing. IEEE Conf. Computer Vision and Pattern Recognition, 2015 [paper] [code] [bibtex]
@inproceedings{shen2015supervised,
title={Supervised Discrete Hashing.},
author={Shen, Fumin and Shen, Chunhua and Liu, Wei and Shen, Heng Tao},
booktitle={CVPR},
volume={2},
number={3},
pages={5},
year={2015}
}
- Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang, Nicu Sebe. Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrieval. ACM Multimedia Conference, 2015 [paper] [bibtex]
@inproceedings{song2015supervised,
title={Supervised hashing with pseudo labels for scalable multimedia retrieval},
author={Song, Jingkuan and Gao, Lianli and Yan, Yan and Zhang, Dongxiang and Sebe, Nicu},
booktitle={Proceedings of the 23rd ACM international conference on Multimedia},
pages={827--830},
year={2015},
organization={ACM}
}
- Wu-Jun Li, Sheng Wang, Wang-Cheng Kang. Feature learning based deep supervised hashing with pairwise labels. arXiv, 2015 [paper] [bibtex]
@article{li2015feature,
title={Feature learning based deep supervised hashing with pairwise labels},
author={Li, Wu-Jun and Wang, Sheng and Kang, Wang-Cheng},
journal={arXiv preprint arXiv:1511.03855},
year={2015}
}
- Jile Zhou, Guiguang Ding, Yuchen Guo, Qiang Liu, XinPeng Dong. Kernel-based supervised hashing for cross-view similarity search. IEEE International Conference on Multimedia and Expo, 2014 [paper] [bibtex]
@inproceedings{zhou2014kernel,
title={Kernel-based supervised hashing for cross-view similarity search},
author={Zhou, Jile and Ding, Guiguang and Guo, Yuchen and Liu, Qiang and Dong, XinPeng},
booktitle={Multimedia and Expo (ICME), 2014 IEEE International Conference on},
pages={1--6},
year={2014},
organization={IEEE}
}
- Jingkuan Song, Yi Yang, Xuelong Li, Zi Huang. Robust Hashing With Local Models for Approximate Similarity Search. TOC(Transactions on Cybernetics), 2014 [paper] [bibtex]
@article{song2014robust,
title={Robust hashing with local models for approximate similarity search},
author={Song, Jingkuan and Yang, Yi and Li, Xuelong and Huang, Zi and Yang, Yang},
journal={IEEE transactions on cybernetics},
volume={44},
number={7},
pages={1225--1236},
year={2014},
publisher={IEEE}
}
- Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter. Fast Supervised Hashing with Decision Trees for High-Dimensional Data. IEEE Conf. Computer Vision and Pattern Recognition, 2014 [paper] [code][bibtex]
@inproceedings{lin2014fast,
title={Fast supervised hashing with decision trees for high-dimensional data},
author={Lin, Guosheng and Shen, Chunhua and Shi, Qinfeng and Van den Hengel, Anton and Suter, David},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
pages={1971--1978},
year={2014},
organization={IEEE}
}
- Dongqing Zhang, Wu-Jun Li. Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI Conference on Artificial Intelligence, 2014 [paper] [bibtex]
@inproceedings{zhang2014large,
title={Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization.},
author={Zhang, Dongqing and Li, Wu-Jun},
booktitle={AAAI},
volume={1},
number={2},
pages={7},
year={2014}
}
- Viet Anh Nguyen, Jiwen Lu, Minh N Do. Supervised discriminative hashing for compact binary codes. ACM Conference on Multimedia, 2014 [paper] [bibtex]
@inproceedings{nguyen2014supervised,
title={Supervised discriminative hashing for compact binary codes},
author={Nguyen, Viet Anh and Lu, Jiwen and Do, Minh N},
booktitle={Proceedings of the 22nd ACM international conference on Multimedia},
pages={989--992},
year={2014},
organization={ACM}
}
- Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu. Supervised hashing with soft constraints. ACM International Conference on Information and Knowledge Management, 2014 [paper] [bibtex]
@inproceedings{leng2014supervised,
title={Supervised hashing with soft constraints},
author={Leng, Cong and Cheng, Jian and Wu, Jiaxiang and Zhang, Xi and Lu, Hanqing},
booktitle={Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management},
pages={1851--1854},
year={2014},
organization={ACM}
}
- Tiezheng Ge, Kaiming He, Jian Sun. Graph Cuts for Supervised Binary Coding. European Conference on Computer Vision, 2014 [paper] [bibtex]
@inproceedings{ge2014graph,
title={Graph cuts for supervised binary coding},
author={Ge, Tiezheng and He, Kaiming and Sun, Jian},
booktitle={European Conference on Computer Vision},
pages={250--264},
year={2014},
organization={Springer}
}
- Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu. Semi-supervised multi-graph hashing for scalable similarity search. Computer Vision and Image Understanding, 2014 [paper] [bibtex]
@article{cheng2014semi,
title={Semi-supervised multi-graph hashing for scalable similarity search},
author={Cheng, Jian and Leng, Cong and Li, Peng and Wang, Meng and Lu, Hanqing},
journal={Computer Vision and Image Understanding},
volume={124},
pages={12--21},
year={2014},
publisher={Elsevier}
}
Quantization
- Chao Ma, Ivor W Tsang, Fumin Shen, Chuancai Liu. Error Correcting Input and Output Hashing. TOC(Transactions on Cybernetics), 2018 [paper] [bibtex]
@article{ma2018error,
title={Error Correcting Input and Output Hashing},
author={Ma, Chao and Tsang, Ivor W and Shen, Fumin and Liu, Chuancai},
journal={IEEE Transactions on Cybernetics},
year={2018},
publisher={IEEE}
}
- Yuchen Guo, Guiguang Ding, Jungong Han. Robust quantization for general similarity search. IEEE Transactions on Image Processing, 2018 [paper] [bibtex]
@article{guo2018robust,
title={Robust quantization for general similarity search},
author={Guo, Yuchen and Ding, Guiguang and Han, Jungong},
journal={IEEE Transactions on Image Processing},
volume={27},
number={2},
pages={949--963},
year={2018},
publisher={IEEE}
}
- Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe. Quantization-based hashing: a general framework for scalable image and video retrieval. Pattern Recognition, 2018 [paper] [bibtex]
@article{song2018quantization,
title={Quantization-based hashing: a general framework for scalable image and video retrieval},
author={Song, Jingkuan and Gao, Lianli and Liu, Li and Zhu, Xiaofeng and Sebe, Nicu},
journal={Pattern Recognition},
volume={75},
pages={175--187},
year={2018},
publisher={Elsevier}
}
- Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Daniel N Holtmann-Rice, David Simcha, Felix Yu, Sanjiv Kumar. Multiscale Quantization for Fast Similarity Search. Neural Information Processing Systems, 2017 [paper] [bibtex]
@inproceedings{wu2017multiscale,
title={Multiscale quantization for fast similarity search},
author={Wu, Xiang and Guo, Ruiqi and Suresh, Ananda Theertha and Kumar, Sanjiv and Holtmann-Rice, Daniel N and Simcha, David and Yu, Felix},
booktitle={Advances in Neural Information Processing Systems},
pages={5745--5755},
year={2017}
}
- Litao Yu, Zi Huang, Fumin Shen, Jingkuan Song, Heng Tao Shen, Xiaofang Zhou. Bilinear optimized product quantization for scalable visual content analysis. IEEE Transactions on Image Processing, 2017 [paper] [bibtex]
@article{yu2017bilinear,
title={Bilinear optimized product quantization for scalable visual content analysis},
author={Yu, Litao and Huang, Zi and Shen, Fumin and Song, Jingkuan and Shen, Heng Tao and Zhou, Xiaofang},
journal={IEEE Transactions on Image Processing},
volume={26},
number={10},
pages={5057--5069},
year={2017},
publisher={IEEE}
}
- Xianglong Liu, Zhujin Li, Cheng Deng, Dacheng Tao. Distributed adaptive binary quantization for fast nearest neighbor search. IEEE Transactions on Image Processing, 2017 [paper] [bibtex]
@article{liu2017distributed,
title={Distributed adaptive binary quantization for fast nearest neighbor search},
author={Liu, Xianglong and Li, Zhujin and Deng, Cheng and Tao, Dacheng},
journal={IEEE Transactions on Image Processing},
volume={26},
number={11},
pages={5324--5336},
year={2017},
publisher={IEEE}
}
- Jingjing Liu Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, Dimitris N. Metaxas. Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization. IEEE Transactions on Circuits and Systems for Video Technology, 2017 [paper] [bibtex]
@article{liu2017scalable,
title={Scalable mammogram retrieval using composite anchor graph hashing with iterative quantization},
author={Liu, Jingjing and Zhang, Shaoting and Liu, Wei and Deng, Cheng and Zheng, Yuanjie and Metaxas, Dimitris N},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
volume={27},
number={11},
pages={2450--2460},
year={2017},
publisher={IEEE}
}
- Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks. IEEE Conference on Computer Vision and Pattern Recognition, 2017 [paper] [bibtex]
@inproceedings{liu2017learning,
title={Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks},
author={Liu, Haomiao and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={3901--3910},
year={2017}
}
- Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou. Learning deep binary descriptor with multi-quantization. IEEE Conference on Computer Vision and Pattern Recognition, 2017 [paper] [bibtex]
@inproceedings{duan2017learning,
title={Learning deep binary descriptor with multi-quantization},
author={Duan, Yueqi and Lu, Jiwen and Wang, Ziwei and Feng, Jianjiang and Zhou, Jie},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={1183--1192},
year={2017}
}
- Zhujin Li, Xianglong Liu, Junjie Wu, Hao Su. Adaptive Binary Quantization for Fast Nearest Neighbor Search. The biennial European Conference on Artificial Intelligence, 2016 [paper] [bibtex]
@inproceedings{li2016adaptive,
title={Adaptive Binary Quantization for Fast Nearest Neighbor Search.},
author={Li, Zhujin and Liu, Xianglong and Wu, Junjie and Su, Hao},
booktitle={ECAI},
pages={64--72},
year={2016}
}
- Xianglong Liu, Bowen Du, Cheng Deng, Ming Liu, Bo Lang. Structure sensitive hashing with adaptive product quantization. TOC(IEEE transactions on cybernetics), 2016 [paper] [bibtex]
@article{liu2016structure,
title={Structure sensitive hashing with adaptive product quantization},
author={Liu, Xianglong and Du, Bowen and Deng, Cheng and Liu, Ming and Lang, Bo},
journal={IEEE transactions on cybernetics},
volume={46},
number={10},
pages={2252--2264},
year={2016},
publisher={IEEE}
}
- Qun Chen, Bo Lang, Xianglong Liu, Zepeng Gu. DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm. ISCID(Computational Intelligence and Design), 2016 [paper] [bibtex]
@inproceedings{chen2016disitq,
title={DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm},
author={Chen, Qun and Lang, Bo and Liu, Xianglong and Gu, Zepeng},
booktitle={Computational Intelligence and Design (ISCID), 2016 9th International Symposium on},
volume={2},
pages={118--123},
year={2016},
organization={IEEE}
}
- Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin. Robust iterative quantization for efficient lp-norm similarity search. International Joint Conferences on Artificial Intelligence, 2016 [paper] [bibtex]
@inproceedings{guo2016robust,
title={Robust iterative quantization for efficient lp-norm similarity search},
author={Guo, Yuchen and Ding, Guiguang and Han, Jungong and Jin, Xiaoming},
booktitle={Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence},
pages={3382--3388},
year={2016},
organization={AAAI Press}
}
- Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan. Adaptive multi-bit quantization for hashing. Neurocomputing, 2015 [paper] [code][bibtex]
@article{deng2015adaptive,
title={Adaptive multi-bit quantization for hashing},
author={Deng, Cheng and Deng, Huiru and Liu, Xianglong and Yuan, Yuan},
journal={Neurocomputing},
volume={151},
pages={319--326},
year={2015},
publisher={Elsevier}
}
- Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu. Learning Binary Codes with Bagging PCA. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2014 [paper] [bibtex]
@inproceedings{leng2014learning,
title={Learning binary codes with bagging PCA},
author={Leng, Cong and Cheng, Jian and Yuan, Ting and Bai, Xiao and Lu, Hanqing},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
pages={177--192},
year={2014},
organization={Springer}
}
- Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang. Hash bit selection: a unified solution for selection problems in hashing. IEEE Conference on Computer Vision and Pattern Recognition, 2013 [paper] [bibtex]
@inproceedings{liu2013hash,
title={Hash bit selection: A unified solution for selection problems in hashing},
author={Liu, Xianglong and He, Junfeng and Lang, Bo and Chang, Shih-Fu},
booktitle={2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={1570--1577},
year={2013},
organization={IEEE}
}
- Yunchao Gong, Svetlana Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. IEEE Conference on Computer Vision and Pattern Recognition, 2011 [paper] [bibtex]
@article{gong2013iterative,
title={Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval},
author={Gong, Yunchao and Lazebnik, Svetlana and Gordo, Albert and Perronnin, Florent},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={35},
number={12},
pages={2916--2929},
year={2013},
publisher={IEEE}
}
- Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang. Hash bit selection: A unified solution for selection problems in hashing. IEEE Conference on Computer Vision and Pattern Recognition, 2013 [paper] [code][bibtex]
@inproceedings{liu2013hash,
title={Hash bit selection: A unified solution for selection problems in hashing},
author={Liu, Xianglong and He, Junfeng and Lang, Bo and Chang, Shih-Fu},
booktitle={2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={1570--1577},
year={2013},
organization={IEEE}
}
- Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 [paper] [bibtex]
@article{gong2013iterative,
title={Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval},
author={Gong, Yunchao and Lazebnik, Svetlana and Gordo, Albert and Perronnin, Florent},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={35},
number={12},
pages={2916--2929},
year={2013},
publisher={IEEE}
}
- Junfeng He, Sanjiv Kumar, Shih-Fu Chang. On the difficulty of nearest neighbor search. ARXIV, 2012 [paper] [bibtex]
@article{he2012difficulty,
title={On the difficulty of nearest neighbor search},
author={He, Junfeng and Kumar, Sanjiv and Chang, Shih-Fu},
journal={arXiv preprint arXiv:1206.6411},
year={2012}
}
- Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik. Angular quantization-based binary codes for fast similarity search. Neural Information Processing Systems, 2012 [paper] [code] [bibtex]
@inproceedings{gong2012angular,
title={Angular quantization-based binary codes for fast similarity search},
author={Gong, Yunchao and Kumar, Sanjiv and Verma, Vishal and Lazebnik, Svetlana},
booktitle={Advances in neural information processing systems},
pages={1196--1204},
year={2012}
}
- Mohammad Norouzi, David J Fleet. Minimal Loss Hashing for Compact Binary Codes. International Conference on Machine Learning, 2011 [paper] [bibtex]
@inproceedings{norouzi2011minimal,
title={Minimal loss hashing for compact binary codes},
author={Norouzi, Mohammad and Blei, David M},
booktitle={Proceedings of the 28th international conference on machine learning (ICML-11)},
pages={353--360},
year={2011},
organization={Citeseer}
}
Indexing
- Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li. Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI Conference on Artificial Intelligence, 2017 [paper] [bibtex]
@inproceedings{liu2017boosting,
title={Boosting Complementary Hash Tables for Fast Nearest Neighbor Search.},
author={Liu, Xianglong and Deng, Cheng and Mu, Yadong and Li, Zhujin},
booktitle={AAAI},
pages={4183--4189},
year={2017}
}
- Xianglong Liu, Cheng Deng, Bo Lang, Dacheng Tao, Xuelong Li. Query-adaptive reciprocal hash tables for nearest neighbor search. IEEE Transactions on Image Processing, 2016 [paper] [bibtex]
@article{liu2016query,
title={Query-adaptive reciprocal hash tables for nearest neighbor search},
author={Liu, Xianglong and Deng, Cheng and Lang, Bo and Tao, Dacheng and Li, Xuelong},
journal={IEEE Transactions on Image Processing},
volume={25},
number={2},
pages={907--919},
year={2016},
publisher={IEEE}
}
- Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang. Multi-View Complementary Hash Tables for Nearest Neighbor Search. IEEE International Conference on Computer Vision, 2015 [paper] [bibtex]
@inproceedings{liu2015multi,
title={Multi-view complementary hash tables for nearest neighbor search},
author={Liu, Xianglong and Huang, Lei and Deng, Cheng and Lu, Jiwen and Lang, Bo},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={1107--1115},
year={2015}
}
- Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang. Collaborative hashing. IEEE Conference on Computer Vision and Pattern Recognition, 2014 [paper][code] [bibtex]
@inproceedings{liu2014collaborative,
title={Collaborative hashing},
author={Liu, Xianglong and He, Junfeng and Deng, Cheng and Lang, Bo},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2139--2146},
year={2014}
}
- Mohammad Norouzi, Ali Punjani, David J. Fleet. Fast Exact Search in Hamming Space with Multi-Index Hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 [paper] [bibtex]
@article{norouzi2014fast,
title={Fast exact search in hamming space with multi-index hashing},
author={Norouzi, Mohammad and Punjani, Ali and Fleet, David J},
journal={IEEE transactions on pattern analysis and machine intelligence},
volume={36},
number={6},
pages={1107--1119},
year={2014},
publisher={IEEE}
}
- Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, H Lu. Spectral Hashing with Semantically Consistent Graph for Image Indexing. ACM Conference on Multimedia, 2013 [paper] [bibtex]
@article{li2013spectral,
title={Spectral hashing with semantically consistent graph for image indexing},
author={Li, Peng and Wang, Meng and Cheng, Jian and Xu, Changsheng and Lu, Hanqing},
journal={IEEE Transactions on Multimedia},
volume={15},
number={1},
pages={141--152},
year={2013},
publisher={IEEE}
}
- Xianglong Liu, Junfeng He, Bo Lang. Reciprocal Hash Tables for Nearest Neighbor Search. AAAI Conference on Artificial Intelligence, 2013 [paper] [bibtex]
@inproceedings{liu2013reciprocal,
title={Reciprocal Hash Tables for Nearest Neighbor Search.},
author={Liu, Xianglong and He, Junfeng and Lang, Bo},
booktitle={AAAI},
pages={626--632},
year={2013}
}
- Mohammad Norouzi, Ali Punjani, David J Fleet. Fast search in hamming space with multi-index hashing. IEEE Conference on Computer Vision and Pattern Recognition, 2012 [paper] [bibtex]
@inproceedings{norouzi2012fast,
title={Fast search in hamming space with multi-index hashing},
author={Norouzi, Mohammad and Punjani, Ali and Fleet, David J},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on},
pages={3108--3115},
year={2012},
organization={IEEE}
}
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