Large-Scale Retrieval
- Mengqiu Hu, Yang Yang, Fumin Shen, Ning Xie, Heng Tao Shen. Hashing with angular reconstructive embeddings. IEEE Transactions on Image Processing, 2018 [paper] [bibtex]
@article{hu2018hashing,
title={Hashing with angular reconstructive embeddings},
author={Hu, Mengqiu and Yang, Yang and Shen, Fumin and Xie, Ning and Shen, Heng Tao},
journal={IEEE Transactions on Image Processing},
volume={27},
number={2},
pages={545--555},
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}
}
- 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}
}
- Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao. Unsupervised deep video hashing with balanced rotation. International Joint Conferences on Artificial Intelligence, 2017 [paper] [bibtex]
@inproceedings{wu2017unsupervised,
title={Unsupervised deep video hashing with balanced rotation},
author={Wu, Gengshen and Liu, Li and Guo, Yuchen and Ding, Guiguang and Han, Jungong and Shen, Jialie and Shao, Ling},
year={2017},
organization={IJCAI}
}
- Jingkuan Song
. Binary Generative Adversarial Networks for Image Retrieval. ARXIV, 2017 [paper] [bibtex]
@article{song2017binary,
title={Binary Generative Adversarial Networks for Image Retrieval},
author={Song, Jingkuan},
journal={arXiv preprint arXiv:1708.04150},
year={2017}
}
- Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yang Yang, Yun-Hao Yuan, Heng Tao Shen. Semi-paired discrete hashing: Learning latent hash codes for semi-paired cross-view retrieval. IEEE transactions on cybernetics, 2017 [paper] [bibtex]
@article{shen2017semi,
title={Semi-paired discrete hashing: Learning latent hash codes for semi-paired cross-view retrieval},
author={Shen, Xiaobo and Shen, Fumin and Sun, Quan-Sen and Yang, Yang and Yuan, Yun-Hao and Shen, Heng Tao},
journal={IEEE transactions on cybernetics},
volume={47},
number={12},
pages={4275--4288},
year={2017},
publisher={IEEE}
}
- Venice Erin Liong, Jiwen Lu, Yap-Peng Tan. Learning a Cross-Modal Hashing Network for Multimedia Search. IEEE International Conference on Image Processing, 2017 [paper] [bibtex]
@article{liong2017learning,
title={Learning a Cross-Modal Hashing Network for Multimedia Search},
author={Liong, Venice Erin and Lu, Jiwen and Tan, Yap-Peng},
year={2017}
}
- Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu. Temporal Binary Coding for Large-Scale Video Search. ACM MM(Proceedings of the 2017 ACM on Multimedia Conference), 2017 [paper] [bibtex]
@inproceedings{xia2017temporal,
title={Temporal Binary Coding for Large-Scale Video Search},
author={Xia, Ke and Ma, Yuqing and Liu, Xianglong and Mu, Yadong and Liu, Li},
booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
pages={333--341},
year={2017},
organization={ACM}
}
- Bo Lang, Bo Wu, Yang Liu, Xianglong Liu, Boyu Zhang. Fast graph similarity search via hashing and its application on image retrieval. Multimedia Tools and Applications, 2017 [paper] [bibtex]
@article{lang2017fast,
title={Fast graph similarity search via hashing and its application on image retrieval},
author={Lang, Bo and Wu, Bo and Liu, Yang and Liu, Xianglong and Zhang, Boyu},
journal={Multimedia Tools and Applications},
pages={1--22},
year={2017},
publisher={Springer}
}
- Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao. Deep sketch hashing: Fast free-hand sketch-based image retrieval. Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2017 [paper] [code] [bibtex]
@inproceedings{liu2017deep,
title={Deep sketch hashing: Fast free-hand sketch-based image retrieval},
author={Liu, Li and Shen, Fumin and Shen, Yuming and Liu, Xianglong and Shao, Ling},
booktitle={Proc. CVPR},
pages={2862--2871},
year={2017}
}
- Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen. Deep region hashing for efficient large-scale instance search from images. ARXIV, 2017 [paper] [bibtex]
@article{song2017deep,
title={Deep region hashing for efficient large-scale instance search from images},
author={Song, Jingkuan and He, Tao and Gao, Lianli and Xu, Xing and Shen, Heng Tao},
journal={arXiv preprint arXiv:1701.07901},
year={2017}
}
- Lei Zhu, Zi Huang, Xiaojun Chang, Jingkuan Song, Heng Tao Shen. Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark Search. MM(Proceedings of the 2017 ACM on Multimedia Conference), 2017 [paper] [bibtex]
@inproceedings{zhu2017exploring,
title={Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark Search},
author={Zhu, Lei and Huang, Zi and Chang, Xiaojun and Song, Jingkuan and Shen, Heng Tao},
booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
pages={726--734},
year={2017},
organization={ACM}
}
- Xianglong Liu, Junfeng He, Shih-Fu Chang. Hash bit selection for nearest neighbor search. IEEE Transactions on Image Processing, 2017 [paper] [bibtex]
@article{liu2017hash,
title={Hash bit selection for nearest neighbor search},
author={Liu, Xianglong and He, Junfeng and Chang, Shih-Fu},
journal={IEEE Transactions on Image Processing},
volume={26},
number={11},
pages={5367--5380},
year={2017},
publisher={IEEE}
}
- Alexandr Andoni, Thijs Laarhoven, Ilya Razenshteyn, Erik Waingarten. Optimal hashing-based time-space trade-offs for approximate near neighbors. ACM-SIAM Symposium on Discrete Algorithms, 2017 [paper] [bibtex]
@inproceedings{andoni2017optimal,
title={Optimal hashing-based time-space trade-offs for approximate near neighbors},
author={Andoni, Alexandr and Laarhoven, Thijs and Razenshteyn, Ilya and Waingarten, Erik},
booktitle={Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms},
pages={47--66},
year={2017},
organization={Society for Industrial and Applied Mathematics}
}
- Ruicong Xu, Yang Yang, Fumin Shen, Ning Xie, Heng Tao Shen. Efficient Binary Coding for Subspace-based Query-by-Image Video Retrieval. MM(Proceedings of the 2017 ACM on Multimedia Conference), 2017 [paper] [bibtex]
@inproceedings{xu2017efficient,
title={Efficient Binary Coding for Subspace-based Query-by-Image Video Retrieval},
author={Xu, Ruicong and Yang, Yang and Shen, Fumin and Xie, Ning and Shen, Heng Tao},
booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
pages={1354--1362},
year={2017},
organization={ACM}
}
- 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}
}
- 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}
}
- Yunchao Gong, Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir Bourdev, Rob Fergus. Web scale photo hash clustering on a single machine. IEEE Conference on Computer Vision and Pattern Recognition, 2015 [paper] [bibtex]
@inproceedings{gong2015web,
title={Web scale photo hash clustering on a single machine},
author={Gong, Yunchao and Pawlowski, Marcin and Yang, Fei and Brandy, Louis and Bourdev, Lubomir and Fergus, Rob},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={19--27},
year={2015}
}
- Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yun-Hao Yuan, Heng Tao Shen. Robust cross-view hashing for multimedia retrieval. IEEE Signal Processing Letters, 2015 [paper] [bibtex]
@article{shen2016robust,
title={Robust cross-view hashing for multimedia retrieval},
author={Shen, Xiaobo and Shen, Fumin and Sun, Quan-Sen and Yuan, Yun-Hao and Shen, Heng Tao},
journal={IEEE Signal Processing Letters},
volume={23},
number={6},
pages={893--897},
year={2016},
publisher={IEEE}
}
- Wei Liu, Tongtao Zhang. Multimedia hashing and networking. IEEE MultiMedia, 2016 [paper] [bibtex]
@article{liu2016multimedia,
title={Multimedia hashing and networking},
author={Liu, Wei and Zhang, Tongtao},
journal={IEEE MultiMedia},
volume={23},
number={3},
pages={75--79},
year={2016},
publisher={IEEE}
}
- Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey. arXiv, 2015 [paper] [bibtex]
@article{wang2016learning,
title={Learning to hash for indexing big data��a survey},
author={Wang, Jun and Liu, Wei and Kumar, Sanjiv and Chang, Shih-Fu},
journal={Proceedings of the IEEE},
volume={104},
number={1},
pages={34--57},
year={2016},
publisher={IEEE}
}
- Joseph G Ellis, Svebor Karaman, Hongzhi Li, Hong Bin Shim, Shih-Fu Chang. Placing Broadcast News Videos in their Social Media Context using Hashtags. ACM Multimedia, 2016 [paper] [bibtex]
@inproceedings{ellis2016placing,
title={Placing Broadcast News Videos in their Social Media Context using Hashtags},
author={Ellis, Joseph G and Karaman, Svebor and Li, Hongzhi and Shim, Hong Bin and Chang, Shih-Fu},
booktitle={Proceedings of the 2016 ACM on Multimedia Conference},
pages={684--688},
year={2016},
organization={ACM}
}
- Alexandr Andoni, Huy L Nguyen, Aleksandar Nikolov, Ilya Razenshteyn, Erik Waingarten. Approximate near neighbors for general symmetric norms. arXiv, 2016 [paper] [bibtex]
@article{andoni2016approximate,
title={Approximate near neighbors for general symmetric norms},
author={Andoni, Alexandr and Nguyen, Huy L and Nikolov, Aleksandar and Razenshteyn, Ilya and Waingarten, Erik},
journal={arXiv preprint arXiv:1611.06222},
year={2016}
}
- Piotr Indyk, Robert Kleinberg, Sepideh Mahabadi, Yang Yuan. Simultaneous Nearest Neighbor Search. arXiv, 2016 [paper] [bibtex]
@article{indyk2016simultaneous,
title={Simultaneous nearest neighbor search},
author={Indyk, Piotr and Kleinberg, Robert and Mahabadi, Sepideh and Yuan, Yang},
journal={arXiv preprint arXiv:1604.02188},
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}
}
- Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen. Hashing on Nonlinear Manifolds. IEEE Trans. Image Processing, 2015 [paper] [bibtex]
@article{shen2015hashing,
title={Hashing on nonlinear manifolds},
author={Shen, Fumin and Shen, Chunhua and Shi, Qinfeng and van den Hengel, Anton and Tang, Zhenmin and Shen, Heng Tao},
journal={IEEE Transactions on Image Processing},
volume={24},
number={6},
pages={1839--1851},
year={2015},
publisher={IEEE}
}
- Ke Zhou, Yu Liu, Jinkuan Song, Linyu Yan, Fuhao Zou, Fumin Shen. Deep Self-taught Hashing for Image Retrieval. TOC(Transactions on Cybernetics), 2015 [paper] [bibtex]
@inproceedings{zhou2015deep,
title={Deep self-taught hashing for image retrieval},
author={Zhou, Ke and Liu, Yu and Song, Jingkuan and Yan, Linyu and Zou, Fuhao and Shen, Fumin},
booktitle={Proceedings of the 23rd ACM international conference on Multimedia},
pages={1215--1218},
year={2015},
organization={ACM}
}
- Lianli Gao, Jingkuan Song, Fuhao Zou, Dongxiang Zhang, Jie Shao. Scalable multimedia retrieval by deep learning hashing with relative similarity learning. ACM international Conference on Multimedia, 2015 [paper] [bibtex]
@inproceedings{gao2015scalable,
title={Scalable multimedia retrieval by deep learning hashing with relative similarity learning},
author={Gao, Lianli and Song, Jingkuan and Zou, Fuhao and Zhang, Dongxiang and Shao, Jie},
booktitle={Proceedings of the 23rd ACM international conference on Multimedia},
pages={903--906},
year={2015},
organization={ACM}
}
- Alexandr Andoni, Ilya Razenshteyn. Optimal data-dependent hashing for approximate near neighbors. ACM symposium on Theory of computing, 2015 [paper] [bibtex]
@inproceedings{andoni2015optimal,
title={Optimal data-dependent hashing for approximate near neighbors},
author={Andoni, Alexandr and Razenshteyn, Ilya},
booktitle={Proceedings of the forty-seventh annual ACM symposium on Theory of computing},
pages={793--801},
year={2015},
organization={ACM}
}
- Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang, Nicu Sebe. Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrieval. ACM international conference on Multimedia, 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}
}
- Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang. Mixed image-keyword query adaptive hashing over multilabel images. ACM Transactions on Multimedia Computing, Communications, and Applications, 2014 [paper] [bibtex]
@article{liu2014mixed,
title={Mixed image-keyword query adaptive hashing over multilabel images},
author={Liu, Xianglong and Mu, Yadong and Lang, Bo and Chang, Shih-Fu},
journal={ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)},
volume={10},
number={2},
pages={22},
year={2014},
publisher={ACM}
}
- Cong Leng, Jian Cheng, Hanqing Lu. Random subspace for binary codes learning in large scale image retrieval. Special Interest Group on Information Retrieval, 2014 [paper] [bibtex]
@inproceedings{leng2014random,
title={Random subspace for binary codes learning in large scale image retrieval},
author={Leng, Cong and Cheng, Jian and Lu, Hanqing},
booktitle={Proceedings of the 37th international ACM SIGIR conference on Research \& development in information retrieval},
pages={1031--1034},
year={2014},
organization={ACM}
}
- 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}
}
- Amirali Abdullah, Alexandr Andoni, Ravindran Kannan, Robert Krauthgamer. Spectral approaches to nearest neighbor search. Foundations of Computer Science, 2014 [paper] [bibtex]
@inproceedings{abdullah2014spectral,
title={Spectral approaches to nearest neighbor search},
author={Abdullah, Amirali and Andoni, Alexandr and Kannan, Ravindran and Krauthgamer, Robert},
booktitle={Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on},
pages={581--590},
year={2014},
organization={IEEE}
}
- Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden, Pradeep Dubey. Streaming similarity search over one billion tweets using parallel locality-sensitive hashing. International Conference on Very Large Data Bases, 2013 [paper] [bibtex]
@article{sundaram2013streaming,
title={Streaming similarity search over one billion tweets using parallel locality-sensitive hashing},
author={Sundaram, Narayanan and Turmukhametova, Aizana and Satish, Nadathur and Mostak, Todd and Indyk, Piotr and Madden, Samuel and Dubey, Pradeep},
journal={Proceedings of the VLDB Endowment},
volume={6},
number={14},
pages={1930--1941},
year={2013},
publisher={VLDB Endowment}
}
- Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, H Lu. Spectral Hashing with Semantically Consistent Graph for Image Indexing. IEEE Transactions 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}
}
- Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao. Linear cross-modal hashing for efficient multimedia search. ACM international conference on Multimedia, 2013 [paper] [bibtex]
@inproceedings{zhu2013linear,
title={Linear cross-modal hashing for efficient multimedia search},
author={Zhu, Xiaofeng and Huang, Zi and Shen, Heng Tao and Zhao, Xin},
booktitle={Proceedings of the 21st ACM international conference on Multimedia},
pages={143--152},
year={2013},
organization={ACM}
}
- Jingkuan Song. Effective hashing for large-scale multimedia search. SIGMOD(Proceedings of the 2013 SIGMOD/PODS Ph. D. symposium), 2013 [paper] [bibtex]
@inproceedings{song2013effective,
title={Effective hashing for large-scale multimedia search},
author={Song, Jingkuan},
booktitle={Proceedings of the 2013 SIGMOD/PODS Ph. D. symposium},
pages={55--60},
year={2013},
organization={ACM}
}
- Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Heng Tao Shen. Sparse hashing for fast multimedia search. ACM Transactions on Information Systems, 2013 [paper] [bibtex]
@article{zhu2013sparse,
title={Sparse hashing for fast multimedia search},
author={Zhu, Xiaofeng and Huang, Zi and Cheng, Hong and Cui, Jiangtao and Shen, Heng Tao},
journal={ACM Transactions on Information Systems (TOIS)},
volume={31},
number={2},
pages={9},
year={2013},
publisher={ACM}
}
- 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}
}
- Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan. Multimedia semantics-aware query-adaptive hashing with bits reconfigurability. International Journal of Multimedia Information Retrieval, 2012 [paper] [bibtex]
@article{mu2012multimedia,
title={Multimedia semantics-aware query-adaptive hashing with bits reconfigurability},
author={Mu, Yadong and Chen, Xiangyu and Liu, Xianglong and Chua, Tat-Seng and Yan, Shuicheng},
journal={International Journal of Multimedia Information Retrieval},
volume={1},
number={1},
pages={59--70},
year={2012},
publisher={Springer}
}
- Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang. Compact hashing for mixed image-keyword query over multi-label images. ICMR(Proceedings of the 2nd ACM International Conference on Multimedia Retrieval), 2012 [paper] [code] [bibtex]
@inproceedings{liu2012compact,
title={Compact hashing for mixed image-keyword query over multi-label images},
author={Liu, Xianglong and Mu, Yadong and Lang, Bo and Chang, Shih-Fu},
booktitle={Proceedings of the 2nd ACM International Conference on Multimedia Retrieval},
pages={18},
year={2012},
organization={ACM}
}
- Jingkuan Song, Yi Yang, Zi Huang, Heng Tao Shen, Richang Hong. Multiple feature hashing for real-time large scale near-duplicate video retrieval. ACM international conference on Multimedia, 2011 [paper] [bibtex]
@inproceedings{song2011multiple,
title={Multiple feature hashing for real-time large scale near-duplicate video retrieval},
author={Song, Jingkuan and Yang, Yi and Huang, Zi and Shen, Heng Tao and Hong, Richang},
booktitle={Proceedings of the 19th ACM international conference on Multimedia},
pages={423--432},
year={2011},
organization={ACM}
}
- P Li, AC K?nig. Theory and applications of b-bit minwise hashing. Communications of the ACM, 2011 [paper] [bibtex]
@article{li2011theory,
title={Theory and applications of b-bit minwise hashing},
author={Li, Ping and K{\"o}nig, Arnd Christian},
journal={Communications of the ACM},
volume={54},
number={8},
pages={101--109},
year={2011},
publisher={ACM}
}
- Alexandr Andoni. Nearest Neighbor Search in High-Dimensional Spaces.. International Symposium on Mathematical Foundations of Computer Science, 2011 [paper] [bibtex]
@inproceedings{andoni2011nearest,
title={Nearest Neighbor Search in High-Dimensional Spaces.},
author={Andoni, Alexandr},
booktitle={MFCS},
pages={1},
year={2011}
}
- Junfeng He, Wei Liu, Shih-Fu Chang. Scalable similarity search with optimized kernel hashing. Knowledge Discovery and Data Mining conference, 2010 [paper] [bibtex]
@inproceedings{he2010scalable,
title={Scalable similarity search with optimized kernel hashing},
author={He, Junfeng and Liu, Wei and Chang, Shih-Fu},
booktitle={Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={1129--1138},
year={2010},
organization={ACM}
}
- Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden, Pradeep Dubey. Streaming similarity search over one billion tweets using parallel locality-sensitive hashing. International Conference on Very Large Data Bases, 2013 [paper] [bibtex]
@article{sundaram2013streaming,
title={Streaming similarity search over one billion tweets using parallel locality-sensitive hashing},
author={Sundaram, Narayanan and Turmukhametova, Aizana and Satish, Nadathur and Mostak, Todd and Indyk, Piotr and Madden, Samuel and Dubey, Pradeep},
journal={Proceedings of the VLDB Endowment},
volume={6},
number={14},
pages={1930--1941},
year={2013},
publisher={VLDB Endowment}
}
Large Scale Machine Learning
- Jingkuan Song
. Binary Generative Adversarial Networks for Image Retrieval. ARXIV, 2017 [paper] [bibtex]
@article{song2017binary,
title={Binary Generative Adversarial Networks for Image Retrieval},
author={Song, Jingkuan},
journal={arXiv preprint arXiv:1708.04150},
year={2017}
}
- 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}
}
- Wenshuo Chen, Guiguang Ding, Zijia Lin, Jisheng Pei. Accelerated Manhattan hashing via bit-remapping with location information. MULTIMED TOOLS APPL, 2017 [paper] [bibtex]
@article{chen2017accelerated,
title={Accelerated Manhattan hashing via bit-remapping with location information},
author={Chen, Wenshuo and Ding, Guiguang and Lin, Zijia and Pei, Jisheng},
journal={Multimedia Tools and Applications},
volume={76},
number={2},
pages={2441--2466},
year={2017},
publisher={Springer}
}
- Jie Feng, Svebor Karaman, Shih-Fu Chang. Deep image set hashing. Applications of Computer Vision, 2017 [paper] [bibtex]
@inproceedings{feng2017deep,
title={Deep image set hashing},
author={Feng, Jie and Karaman, Svebor and Chang, Shih-Fu},
booktitle={Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on},
pages={1241--1250},
year={2017},
organization={IEEE}
}
- Ryan Spring, Anshumali Shrivastava. Scalable and sustainable deep learning via randomized hashing. Knowledge Discovery and Data Mining conference, 2017 [paper] [bibtex]
@article{Shrivastava2016Scalable,
title={Scalable and Sustainable Deep Learning via Randomized Hashing},
author={Shrivastava, Anshumali and Shrivastava, Anshumali},
pages={445-454},
year={2016},
}
- 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}
}
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