Hashing


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]
  • 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]
  • 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]
  • 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]
  • Jingkuan Song .  Binary Generative Adversarial Networks for Image Retrieval.  ARXIV, 2017 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • Xianglong Liu, Junfeng He, Shih-Fu Chang.  Hash bit selection for nearest neighbor search.  IEEE Transactions on Image Processing, 2017 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • 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]
  • Sixiu Chen, Fumin Shen, Yang Yang, Xing Xu, Jingkuan Song.  Supervised hashing with adaptive discrete optimization for multimedia retrieval.  Neurocomputing, 2017 [paper] [bibtex]
  • 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]
  • 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]
  • Wei Liu, Tongtao Zhang.  Multimedia hashing and networking.  IEEE MultiMedia, 2016 [paper] [bibtex]
  • Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang.  Learning to Hash for Indexing Big Data - A Survey.  arXiv, 2015 [paper] [bibtex]
  • 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]
  • Alexandr Andoni, Huy L Nguyen, Aleksandar Nikolov, Ilya Razenshteyn, Erik Waingarten.  Approximate near neighbors for general symmetric norms.  arXiv, 2016 [paper] [bibtex]
  • Piotr Indyk, Robert Kleinberg, Sepideh Mahabadi, Yang Yuan.  Simultaneous Nearest Neighbor Search.  arXiv, 2016 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • 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]
  • Alexandr Andoni, Ilya Razenshteyn.  Optimal data-dependent hashing for approximate near neighbors.  ACM symposium on Theory of computing, 2015 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • 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]
  • Amirali Abdullah, Alexandr Andoni, Ravindran Kannan, Robert Krauthgamer.  Spectral approaches to nearest neighbor search.  Foundations of Computer Science, 2014 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • Jingkuan Song.  Effective hashing for large-scale multimedia search.  SIGMOD(Proceedings of the 2013 SIGMOD/PODS Ph. D. symposium), 2013 [paper] [bibtex]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • P Li, AC K?nig.  Theory and applications of b-bit minwise hashing.  Communications of the ACM, 2011 [paper] [bibtex]
  • Alexandr Andoni.  Nearest Neighbor Search in High-Dimensional Spaces..  International Symposium on Mathematical Foundations of Computer Science, 2011 [paper] [bibtex]
  • Junfeng He, Wei Liu, Shih-Fu Chang.  Scalable similarity search with optimized kernel hashing.  Knowledge Discovery and Data Mining conference, 2010 [paper] [bibtex]
  • 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]

Large Scale Machine Learning
  • Jingkuan Song .  Binary Generative Adversarial Networks for Image Retrieval.  ARXIV, 2017 [paper] [bibtex]
  • Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu.  Large-Margin Supervised Hashing.  International Conference on Neural Information Processing, 2017 [paper] [bibtex]
  • Wenshuo Chen, Guiguang Ding, Zijia Lin, Jisheng Pei.  Accelerated Manhattan hashing via bit-remapping with location information.  MULTIMED TOOLS APPL, 2017 [paper] [bibtex]
  • Jie Feng, Svebor Karaman, Shih-Fu Chang.  Deep image set hashing.  Applications of Computer Vision, 2017 [paper] [bibtex]
  • Ryan Spring, Anshumali Shrivastava.  Scalable and sustainable deep learning via randomized hashing.  Knowledge Discovery and Data Mining conference, 2017 [paper] [bibtex]
  • Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao.  Deep Hashing Network for Efficient Similarity Retrieval.  AAAI Conference on Artificial Intelligence, 2016 [paper] [code] [bibtex]
  • Jingkuan Song, Heng Tao Shen, Jianfeng Wang, Zi Huang, Nicu Sebe, Jingdong Wang.  A distance-computation-free search scheme for binary code databases.  ACM Conference on Multimedia, 2016 [paper] [bibtex]
  • Fumin Shen, Xiang Zhou, Yang Yang, Jingkuan Song, Heng Tao Shen, Dacheng Tao.  A fast optimization method for general binary code learning.  IEEE Transactions on Image Processing, 2016 [paper] [bibtex]
  • 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]
  • 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]
  • Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou.  Deep Hashing for Compact Binary Codes Learning.  IEEE Conference on Computer Vision and Pattern Recognition, 2015 [paper] [bibtex]
  • Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu.  Online sketching hashing.  IEEE Conference on Computer Vision and Pattern Recognition, 2015 [paper] [code][bibtex]
  • Yadong Mu, Gang Hua, Wei Fan, Shih-Fu Chang.  Hash-SVM: Scalable kernel machines for large-scale visual classification.  IEEE Conference on Computer Vision and Pattern Recognition, 2014 [paper] [bibtex]
  • Yunchao Gong, Sanjiv Kumar, Henry A Rowley, Svetlana Lazebnik.  Learning binary codes for high-dimensional data using bilinear projections.  IEEE Conference on Computer Vision and Pattern Recognition, 2013 [paper] [bibtex]
  • Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel.  A General Two-Step Approach to Learning-Based Hashing.  IEEE International Conference on Computer Vision, 2013 [paper] [bibtex]
  • P Li, A Shrivastava, JL Moore.  Hashing algorithms for large-scale learning.  Neural Information Processing Systems, 2011 [paper] [bibtex]
  • Qinghao Hu, Peisong Wang, Jian Cheng.  From Hashing to CNNs: Training BinaryWeight Networks via Hashing.  arXiv, 2018 [paper] [bibtex]
  • Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S Yu.  HashNet: Deep Learning to Hash by Continuation.  IEEE International Conference on Computer Vision, 2017 [paper] [code] [bibtex]
  • Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao.  SitNet: discrete similarity transfer network for zero-shot hashing.  International Joint Conferences on Artificial Intelligence, 2017 [paper] [bibtex]
  • Piotr Indyk, Ilya Razenshteyn, Tal Wagner.  Practical Data-Dependent Metric Compression with Provable Guarantees.  Neural Information Processing Systems, 2018 [paper] [bibtex]
  • Piotr Indyk, Tal Wagner.  Near-optimal (euclidean) metric compression.  ACM-SIAM Symposium on Discrete Algorithms, 2017 [paper] [bibtex]
  • Fumin Shen, Xin Gao, Li Liu, Yang Yang, Heng Tao Shen.  Deep asymmetric pairwise hashing.  ACM Multimedia Conference, 2017 [paper] [bibtex]