deep-learning-for-image-retrieval

2018

1. Asymmetric Deep Supervised Hashing, Qing-Yuan Jiang, Wu-Jun Li, in AAAI 2018. [paper][code]
2. Deep Region Hashing for Generic Instance Search from Images, lianli Gao, Tao He, Jingkuan Song, Xing Xu, Heng Tao Shen, in AAAI 2018. [paper]
3. On Trivial Solution and High Correlation Problems in Deep Supervised Hashing, Yuchen Guo, XIN ZHAO, Guiguang Ding, Jungong Han, in AAAI 2018. [paper]
4. Supervised Deep Hashing for Hierarchical Labeled Data, Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xian-Ling Mao, in AAAI 2018. [paper]
5. Transfer Adversarial Hashing for Hamming Space Retrieval, Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang, in AAAI 2018. [paper][code]
6. Unsupervised Generative Adversarial Cross-modal Hashing, Jian Zhang, Yuxin Peng, Mingkuan Yuan, in AAAI 2018. [paper][code]
7. Binary Generative Adversarial Networks for Image Retrieval, Jingkuan Song, Tao He, lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen, in AAAI 2018. [paper][code]
8. Deep Cauchy Hashing for Hamming Space Retrieval, Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang, in CVPR 2018. [paper][code]
9. Triplet-Center Loss for Multi-View 3D Object Retrieval, Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai, in CVPR 2018. [paper]
10. 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild, Alexander Grabner, Peter M. Roth, Vincent Lepetit, in CVPR 2018. [paper]
11. Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval, Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao, in CVPR 2018. [paper][code]
12. PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, Mikaela Angelina Uy, Gim Hee Lee, in CVPR 2018. [paper][code]
13. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking, Filip Radenović, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, in CVPR 2018. [paper][code]
14. Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models, Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang, in CVPR 2018. [paper][code]
15. Bidirectional Retrieval Made Simple, Jônatas Wehrmann, Rodrigo C. Barros, in CVPR 2018. [paper][code]
16. SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval, Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, in CVPR 2018. [paper][code]
17. Efficient Large-scale Approximate Nearest Neighbor Search on OpenCL FPGA, Jialiang Zhang, Soroosh Khoram, Jing Li, in CVPR 2018. [paper][code]
18. Fast Spectral Ranking for Similarity Search, Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondřej Chum, in CVPR 2018. [paper][code]
19. Learning Attribute Representations With Localization for Flexible Fashion Search, Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim, Jo Yew Tham, in CVPR 2018. [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code] [paper][code]

2017

1. Deep asymmetric pairwise hashing, Fumin Shen, Xin Gao, Li Liu, Yang Yang, Heng To Shen, in ACM MM 2017. [paper]
2. Deep progressive hashing for image retrieval, Jiale Bai, Bingbing Ni, Minsi Wang, Yang Shen, Hanjiang Lai, Chongyang Zhang, Lin Mei, Chuanping Hu, Chen Yao, in ACM MM 2017. [paper]
3. Deep Supervised Quantization by Self-Organized Map, Min Wang, Wengang Zhou, Qi Tian, Junfu Pu, Houqiang Li, in ACM MM 2017. [paper]
4. Region-based Image Retrieval Revisited by Semantic Region Specification and Spatial Relationship Recommendation, Ryota Hinami, Yusuke Matsui, Shin'Ichi Satoh, in ACM MM 2017. [paper]
5. Two-Stream Attentive CNNs for Image Retrieval, Fei Yang, Jia Li, Shikui Wei, Qinjie Zheng , Ting Liu, Yao Zhao, in ACM MM 2017. [paper]
6. Pseudo label based Unsupervised Deep discriminative Hashing for image retrieval, Qinghao Hu, Jiaxiang Wu, Jian Cheng, Hanqing Lu, in ACM MM 2017. [paper]
7. Selective Deep Convolutional Features for Image Retrieval, Tuan Hoang Nguyen Anh, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung, in ACM MM 2017. [paper]
8. Cross-Domain Image Retrieval with Attention Modeling, Xin Ji, Wei Wang, Meihui Zhang, Yang Yang, in ACM MM 2017. [paper]
9. Discretely Coding Semantic Rank Orders for Supervised Image Hashing, Li Liu, Ling Shao, Fumin Shen, Mengyang Yu, in CVPR 2017. [paper]
10. Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval, Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao, in CVPR 2017. [paper]
11. Deep Cross-Modal Hashing, Qing-Yuan Jiang, Wu-Jun Li, in CVPR 2017. [paper]
12. Deep Hashing Network for Unsupervised Domain Adaptation, Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan, in CVPR 2017. [paper]
13. Deep Visual-Semantic Quantization for Efficient Image Retrieval, Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu, in CVPR 2017. [paper]
14. Spatial-Semantic Image Search by Visual Feature Synthesis, Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu, in CVPR 2017. [paper]
15. Cross-Modal Deep Variational Hashing, Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou, in ICCV 2017. [paper]
16. HashNet: Deep Learning to Hash by Continuation, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu, in ICCV 2017. [paper]
17. SUBIC: A Supervised, Structured Binary Code for Image Search, Himalaya Jain, Joaquin Zepeda, Patrick Perez, Remi Gribonval, in ICCV 2017. [paper]
18. Large-Scale Image Retrieval With Attentive Deep Local Features, Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han, in ICCV 2017. [paper]
19. Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval, Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, in ICCV 2017. [paper]
20. Transitive Hashing Network for Heterogeneous Multimedia Retrieval, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, in AAAI 2017. [paper]
21. Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval, Erkun Yang, Cheng Deng, Wei Liu, Jie Li, Dacheng Tao, Xinbo Gao, in AAAI 2017. [paper]
22. Deep Hashing: A Joint Approach for Image Signature Learning, Yadong Mu, in AAAI 2017. [paper]
23. TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets, Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao, in IJCAI 2017. [paper]
24. Discriminative Deep Hashing for Scalable Face Image Retrieval, Zechao Li, Jie Lin, Jinhui Tang, in IJCAI 2017. [paper]
25. Deep Multiple Instance Hashing for Object-based Image Retrieval, Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan, in IJCAI 2017. [paper]
26. Locality Constrained Deep Supervised Hashing for Image Retrieval, Hao Zhu, Shenghua Gao, in IJCAI 2017. [paper]
27. Semi-Supervised Deep Hashing with a Bipartite Graph, Xinyu Yan, Lijun Zhang, Wu-Jun Li, in IJCAI 2017. [paper]
28. Deep Supervised Hashing with Nonlinear Projections, Sen Su, Gang Chen, Xiang Cheng, Rong Bi, in IJCAI 2017. [paper]
29. Discrete Similarity Transfer Network for Zero-shot Hashing, Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao, in IJCAI 2017. [paper]
30. Deep Supervised Discrete Hashing, Qi Li, Zhenan Sun, Ran He, Tieniu Tan, in NIPS 2017. [paper]

2016

1. Instance-aware hashing for multi-label image retrieval, Hanjiang Lai, Pan Yan, Xiangbo Shu, Yunchao Wei, Shuicheng Yan, in TIP 2016. [paper]
2. Efficient Training of Very Deep Neural Networks for Supervised Hashing, Ziming Zhang, Yuting Chen, Venkatesh Saligrama, in CVPR 2016. [paper]
3. Deep Supervised Hashing for Fast Image Retrieval, Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen, in CVPR 2016. [paper]
4. Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks, Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, in CVPR 2016. [paper]
5. Fast Training of Triplet-Based Deep Binary Embedding Networks, Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian Reid, in CVPR 2016. [paper]
6. Deep Image Retrieval: Learning Global Representations for Image Search, Albert Gordo, Jon Almazan, Jerome Revaud, Diane Larlus, in ECCV 2016. [paper][code]
7. CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples, Filip Radenovic, Giorgos Tolias, Ondra Chum, in ECCV 2016. [paper][code]
8. Learning to Hash with Binary Deep Neural Network, Thanh-Toan Do, Dung Doan, Ngai-Man Cheung, in ECCV 2016. [paper]
9. Deep Hashing Network for Efficient Similarity Retrieval, Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao, in AAAI 2016. [paper]
10. CNN vs. SIFT for Image Retrieval: Alternative or Complementary? Ke Yan, Yaowei Wang, Dawei Liang, Tiejun Huang, Yonghong Tian, in ACM MM 2016. [paper]
11. Exploiting Hierarchical Activations of Neural Network for Image Retrieval, Ying Li, Xiangwei Kong, Liang Zheng, Qi Tian, in ACM MM 2016. [paper]
12. Feature Learning based Deep Supervised Hashing with Pairwise Labels, Wu-Jun Li, Sheng Wang, Wang-Cheng Kang, in IJCAI 2016. [paper][code]
13. Learning A Deep $\ell_\infty$ Encoder for Hashing, Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas Huang, in IJCAI 2016. [paper]
14. Deep Semantics-preserving and Ranking-based Hashing for Image Retrieval, Ting Yao, Fuchen Long, Tao Mei and Yong Rui, in IJCAI 2016. [paper]

2015

1. Deep multimodal hashing with orthogonal regularization, Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu, in IJCAI 2015. [paper]
2. Supervised Discrete Hashing, Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen, in CVPR 2015. [paper]
3. Web Scale Photo Hash Clustering on A Single Machine. Yunchao Gong,Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir Bourdev, Rob Fergus, in CVPR 2015. [paper]
4. Hashing With Binary Autoencoders. Miguel A. Carreira-Perpinan, Ramin Raziperchikolaei, in CVPR 2015. [paper]
5. Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan, in CVPR 2015. [paper]
6. Deep Hashing for Compact Binary Codes Learning, Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou, in CVPR 2015. [paper]
7. Online Sketching Hashing, Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu, in CVPR 2015. [paper]
8. Simultaneous Feature Learning and Hash Coding With Deep Neural Networks, Hanjiang Lai, Yan Pan, Ye Liu, Shuicheng Yan, in CVPR 2015. [paper]
9. Semantics-Preserving Hashing for Cross-View Retrieval, Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, in CVPR 2015. [paper]
10. Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold, Yan Li, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen, in CVPR 2015. [paper]
11. Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval, Ke Jiang, Qichao Que, Brian Kulis, in CVPR 2015. [paper]
12. Early Burst Detection for Memory-Efficient Image Retrieval, Miaojing Shi, Yannis Avrithis, Herve Jegou, in CVPR 2015. [paper]
13. FAemb: A Function Approximation-Based Embedding Method for Image Retrieval, Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung, in CVPR 2015. [paper]
14. Image Retrieval Using Scene Graphs, Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, Li Fei-Fei, in CVPR 2015. [paper]
15. Query-Adaptive Late Fusion for Image Search and Person Re-Identification, Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Qi Tian, in CVPR 2015. [paper]
16. Tree Quantization for Large-Scale Similarity Search and Classification, Artem Babenko, Victor Lempitsky, in CVPR 2015. [paper]
17. Attributes and Categories for Generic Instance Search From One Example, Ran Tao, Arnold W.M. Smeulders, Shih-Fu Chang, in CVPR 2015. [paper]
18. Prediction of Search Targets From Fixations in Open-World Settings Hosnieh Sattar, Sabine Muller, Mario Fritz, Andreas Bulling, in CVPR 2015. [paper]
19. Local Convolutional Features With Unsupervised Training for Image Retrieval, Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronin, Cordelia Schmid, in ICCV 2015. [paper]
20. Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network, Junshi Huang, Rogerio S. Feris, Qiang Chen, Shuicheng Yan, in ICCV 2015. [paper]
21. Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning, Lianli Gao, Jingkuan Song, Fuhao Zou, Dongxiang Zhang, Jie Shao, in ACM MM 2015. [paper]
22. Deep Self-taught Hashing for Image Retrieval, Ke Zhou, Yu Liu, Jingkuan Song, Linyu Yan, Fuhao Zou, Fumin Shen, in ACM MM 2015. [paper]