Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

Distinctive Image Features from Scale-Invariant Keypoints

Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589

Video Google: a text retrieval approach to object matching in videos

Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367

Robust wide-baseline stereo from maximally stable extremal regions

Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,760

Scalable Recognition with a Vocabulary Tree

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Scale & Affine Invariant Interest Point Detectors

Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436

Locality-sensitive hashing scheme based on p-stable distributions

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Object retrieval with large vocabularies and fast spatial matching

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Lost in quantization: Improving particular object retrieval in large scale image databases

Philbin, J., Chum, O., Isard, M., Sivic, J., & Zisserman, A. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587635 · Cited by 1,478

Robust Wide Baseline Stereo from Maximally Stable Extremal Regions

Matas, J., Chum, O., Urban, M., & Pajdla, T. (2002) · Procedings of the British Machine Vision Conference 2002 · doi:10.5244/c.16.36 · Cited by 1,350

City-Scale Location Recognition

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Local Convolutional Features with Unsupervised Training for Image Retrieval

Paulin, M., Douze, M., Harchaoui, Z., Mairal, J., Perronnin, F., & Schmid, C. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.19 · Cited by 171

Combining attributes and Fisher vectors for efficient image retrieval

Douze, M., Arnau Ramisa, A., & Schmid, C. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995595 · Cited by 171

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections

Gong, Y., Kumar, S., Rowley, H. A., & Lazebnik, S. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.69 · Cited by 168

Feature extraction and image retrieval based on AlexNet

Yuan, Z., & Zhang, J. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2243849 · Cited by 172

Approximate Nearest Neighbor Search by Residual Vector Quantization

Chen, Y., Guan, T., & Wang, C. (2010) · Sensors · doi:10.3390/s101211259 · Cited by 167

An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering

Douze, M., Jeǵou, H., & Schmid, C. (2010) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2010.2046265 · Cited by 165

Query Specific Rank Fusion for Image Retrieval

Zhang, S., Yang, M., Cour, T., Yu, K., & Metaxas, D. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2346201 · Cited by 169

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

Garcia, V., Debreuve, É., Nielsen, F., et al. (2010) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2010.5654017 · Cited by 165

Fast Exact Search in Hamming Space With Multi-Index Hashing

Norouzi, M., Punjani, A., & Fleet, D. J. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.231 · Cited by 164

Hashing Techniques

Chi, L., & Xingquan Zhu, A. (2017) · ACM Computing Surveys · doi:10.1145/3047307 · Cited by 168

From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category

Groen, I. I. A., Ghebreab, S., Prins, H., Lamme, V. A. F., & Scholte, H. S. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3128-13.2013 · Cited by 148

Reconstructing an image from its local descriptors

Weinzaepfel, P., Jegou, H., & Perez, P. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995616 · Cited by 159

Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition

Sattler, T., Havlena, M., Radenović, F., Schindler, K., & Pollefeys, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.243 · Cited by 163

Sparse Contextual Activation for Efficient Visual Re-Ranking

Bai, S., & Bai, X. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2514498 · Cited by 158

Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images

Tolias, G., Avrithis, Y., & Jeǵou, H. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0810-4 · Cited by 150

Packing bag-of-features

Jeǵou, H., Douze, M., & Schmid, C. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459419 · Cited by 161

Coverless steganography based on image retrieval of DenseNet features and DWT sequence mapping

Liu, Q., Xiang, X., Qin, J., Tan, Y., Tan, J., & Luo, Y. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2019.105375 · Cited by 165

Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization

Ge, Y., Wang, H., Zhu, F., Zhao, R., & Li, H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58548-8_22 · Cited by 179

Recent Advance in Content-based Image Retrieval: A Literature SurveyPreprint

Zhou, W., Li, H., & Tian, Q. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.06064 · Cited by 199

Affinity Learning with Diffusion on Tensor Product Graph

Yang, X., Prasad, L., & Latecki, L. J. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.60 · Cited by 156

Interactive plant identification based on social image data

Joly, A., Goëau, H., Bonnet, P., Bakić, V., Barbe, J., Selmi, S., Yahiaoui, I., Carré, J., Mouysset, E., Molino, J., et al. (2013) · Ecological Informatics · doi:10.1016/j.ecoinf.2013.07.006 · Cited by 164

Reconstructing the World in Six Days

Heinly, J., Schönberger, J. L., Dunn, E., et al. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298949 · Cited by 156

Large-Scale Location Recognition and the Geometric Burstiness Problem

Sattler, T., Havlena, M., Schindler, K., & Pollefeys, M. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.175 · Cited by 145

Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)

Heinly, J., Schönberger, J. L., Dunn, E., & Frahm, J. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · Cited by 144

A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting

Esmaeili, M. M., Fatourechi, M., & Ward, R. K. (2010) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2010.2097593 · Cited by 153

Random maximum margin hashing

Joly, A., & Buisson, O. (2011) · doi:10.1109/cvpr.2011.5995709 · Cited by 147

Descriptor Learning for Efficient Retrieval

Philbin, J. F., Isard, M., Šivic, J., & Zisserman, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15558-1_49 · Cited by 145

Coupled Binary Embedding for Large-Scale Image Retrieval

Zheng, L., Wang, S., & Tian, Q. C. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2330763 · Cited by 148

VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

Zaffar, M., Garg, S., Milford, M. J., Kooij, J. F. P., Flynn, D., McDonald-Maier, K. D., & Ehsan, S. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-021-01469-5 · Cited by 150

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features

Yang, M., He, D., Fan, M., Shi, B., Xue, X., Li, F., Ding, E., & Huang, J. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01156 · Cited by 157

Compressed Histogram of Gradients: A Low-Bitrate Descriptor

Chandrasekhar, V., Gabriel Takacs, A., Chen, D. M., Tsai, S. S., Reznik, Y. A., Grzeszczuk, R., & Girod, B. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0453-z · Cited by 143

Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval

Liu, P., Guo, J.-M., Wu, C.-Y., & Cai, D. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2736343 · Cited by 142

Towards lifelong visual maps

Konolige, K., & Bowman, J. (2009) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2009.5354121 · Cited by 140

NVGaze

Kim, J., Stengel, M., Majercik, A., et al. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300780 · Cited by 141

Bag-of-colors for improved image search

Wengert, C., Douze, M., & Jeǵou, H. (2011) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2072298.2072034 · Cited by 136

Visual Place Recognition with Repetitive Structures

Torii, A., Šivic, J., Okutomi, M., & Pajdla, T. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2409868 · Cited by 136

Flip-Invariant SIFT for Copy and Object Detection

Zhao, W., & Ngo, C. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2226043 · Cited by 137

DisLocation: Scalable Descriptor Distinctiveness for Location Recognition

Arandjelović, R., & Zisserman, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16817-3_13 · Cited by 128

Image Transformation Based on Learning Dictionaries across Image Spaces

Jia, K., Wang, X., & Tang, X. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.95 · Cited by 134

On the Annotation of Web Videos by Efficient Near-Duplicate Search

Zhao, W., Wu, X. Y., & Ngo, C. (2010) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2010.2050651 · Cited by 135

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

Spyromitros-Xioufis, E., Papadopoulos, S., Kompatsiaris, I. Y., Tsoumakas, G., & Vlahavas, I. P. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2329648 · Cited by 131

The stanford mobile visual search data set

Chandrasekhar, V., Chen, D. M., Tsai, S. S., Cheung, N. M., Chen, H., Gabriel Takacs, A., Reznik, Y. A., Vedantham, R., Grzeszczuk, R., Bach, J., et al. (2011) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/1943552.1943568 · Cited by 136

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation

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Content-based image retrieval with compact deep convolutional features

Alzu’bi, A., Amira, A., & Ramzan, N. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.03.072 · Cited by 138

Collaborative Hashing

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Introduction to the Bag of Features Paradigm for Image Classification and RetrievalPreprint

O′Hara, S., & Draper, B. A. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1101.3354 · Cited by 198

Landmark Image Super-Resolution by Retrieving Web Images

Yue, H., Sun, X., Yang, J., & Wu, F. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2279315 · Cited by 127

Fisher vectors meet Neural Networks: A hybrid classification architecture

Perronnin, F., & Larlus, D. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298998 · Cited by 141

Exploiting the complementary strengths of multi-layer CNN features for image retrieval

Yu, W., Yang, K., Yao, H., Sun, X., & Xu, P. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.12.002 · Cited by 133

A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval

Schönberger, J. L., Price, T., Sattler, T., Frahm, J., & Pollefeys, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-54181-5_21 · Cited by 127

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features

Gabriel Takacs, A., Chandrasekhar, V., Tsai, S. S., Chen, D. M., Grzeszczuk, R., & Girod, B. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540116 · Cited by 133

Deep Hashing for Scalable Image Search

Lu, J., Liong, V. E., & Zhou, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2678163 · Cited by 130

Data-driven visual similarity for cross-domain image matching

Shrivastava, A., Malisiewicz, T., Gupta, A. K., & Efros, A. A. (2011) · ACM Transactions on Graphics · doi:10.1145/2070781.2024188 · Cited by 153

Learning a Fine Vocabulary

Mikulík, A., Perďoch, M., Chum, O., & Matas, J. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15558-1_1 · Cited by 129

Similar image search for histopathology: SMILY

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Revisiting IM2GPS in the Deep Learning Era

Vo, N., Jacobs, N., & Hays, J. H. (2017) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.286 · Cited by 122

Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

Torii, A., Taira, H., Šivic, J., Pollefeys, M., Okutomi, M., Pajdla, T., & Sattler, T. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2941876 · Cited by 142

Image Classification and Retrieval are ONE

Xie, L., Hong, R., Zhang, B., & Tian, Q. (2015) · International Conference on Multimedia Retrieval · doi:10.1145/2671188.2749289 · Cited by 130

Recent advances in digital image manipulation detection techniques: A brief review

Thakur, R., & Rohilla, R. (2020) · Forensic Science International · doi:10.1016/j.forsciint.2020.110311 · Cited by 129

Real-time large scale near-duplicate web video retrieval

Shang, L., Yang, L., Wang, F., Chan, K.-P., & Hua, X. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1874021 · Cited by 124

From single image query to detailed 3D reconstruction

Schönberger, J. L., Radenović, F., Chum, O., & Frahm, J. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7299148 · Cited by 118

Content-Based Image Retrieval Using Features Extracted From Halftoning-Based Block Truncation Coding

Guo, J.-M., & Prasetyo, H. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2372619 · Cited by 122

Database Saliency for Fast Image Retrieval

Gao, Y., Shi, M., Tao, D., & Xu, C. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2389616 · Cited by 114

Asymmetric Distances for Binary Embeddings

Gordo, A., Perronnin, F., Gong, Y., & Lazebnik, S. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.101 · Cited by 116

Color texture description with novel local binary patterns for effective image retrieval

Singh, C., Walia, E., & Kaur, K. P. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.10.021 · Cited by 121

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search

Teichmann, M., Araújo, A. D. M., Zhu, M., & Sim, J. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00525 · Cited by 120

Universal Perturbation Attack Against Image Retrieval

Li, J., Ji, R., Liu, H., Hong, X., Gao, Y., & Tian, Q. C. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00500 · Cited by 120

Recognizing Products: A Per-exemplar Multi-label Image Classification Approach

George, M., & Flörkemeier, C. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10605-2_29 · Cited by 116

Cloud-Based Image Coding for Mobile Devices—Toward Thousands to One Compression

Yue, H., Sun, X., Yang, J., & Wu, F. (2013) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2013.2239629 · Cited by 112

Mining on Manifolds: Metric Learning Without Labels

İşcen, A., Tolias, G., Avrithis, Y., & Chum, O. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00797 · Cited by 116

Retrieving landmark and non-landmark images from community photo collections

Avrithis, Y., Kalantidis, Y., Tolias, G., & Evaggelos Spyrou, A. (2010) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1873951.1873973 · Cited by 113

Structure-Preserving Binary Representations for RGB-D Action Recognition

Yu, M., Liu, L., & Shao, L. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2491925 · Cited by 107

Revisiting the Fisher vector for fine-grained classification

Gosselin, P.-H., Murray, N., Jeǵou, H., & Perronnin, F. (2014) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.06.011 · Cited by 119

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

Liu, L., Li, H., & Dai, Y. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00266 · Cited by 114

SOLAR: Second-Order Loss and Attention for Image Retrieval

Ng, T., Balntas, V., Tian, Y., & Mikolajczyk, K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58595-2_16 · Cited by 116

PIC: Enable Large-Scale Privacy Preserving Content-Based Image Search on Cloud

Zhang, L., Jung, T., Liu, K., Li, X., Ding, X., Gu, J., & Liu, Y. (2017) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2017.2712148 · Cited by 114

Blind Geometric Distortion Correction on Images Through Deep Learning

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Pairwise geometric matching for large-scale object retrieval

Li, X., Larson, M., & Hanjalić, A. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7299151 · Cited by 106

Scalable detection of partial near-duplicate videos by visual-temporal consistency

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TPE-GAN: Thumbnail Preserving Encryption Based on GAN With Key

Chai, X., Wang, Y., Chen, X., Gan, Z., & Zhang, Y. (2022) · IEEE Signal Processing Letters · doi:10.1109/lsp.2022.3163685 · Cited by 108

Transform coding for fast approximate nearest neighbor search in high dimensions

Brandt, J. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539852 · Cited by 107

Get Out of my Picture! Internet-based Inpainting

Whyte, O., Šivic, J., & Zisserman, A. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.116 · Cited by 102

The One-Shot similarity kernel

Wolf, L., Hassner, T., & Taigman, Y. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459323 · Cited by 109

Hashing with Angular Reconstructive Embeddings

Hu, M., Yang, Y., Shen, F., Xie, N., & Shen, H. T. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2749147 · Cited by 101

Learning to Distribute Vocabulary Indexing for Scalable Visual Search

Ji, R., Duan, L., Chen, J., Xie, L., Yao, H., & Gao, W. (2012) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2012.2225035 · Cited by 102

Practical Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

Ferreira, B., Rodrigues, J., Leitao, J. C. A., & Domingos, H. (2017) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2017.2669999 · Cited by 106

Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification

Bai, S., Tang, P., Torr, P. H. S., & Latecki, L. J. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00083 · Cited by 108

SEISA: Secure and efficient encrypted image search with access control

Yuan, J., Yu, S., & Guo, L. (2015) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2015.7218593 · Cited by 103

Manhattan hashing for large-scale image retrieval

Kong, W., Li, W.-J., & Guo, M. (2012) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2348283.2348293 · Cited by 103

Server-side object recognition and client-side object tracking for mobile augmented reality

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InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

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SONG: Approximate Nearest Neighbor Search on GPU

Zhao, W., Tan, S., & Li, P. (2020) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde48307.2020.00094 · Cited by 107

Vector of Locally and Adaptively Aggregated Descriptors for Image Feature Representation

Zhang, J., Cao, Y., & Wu, Q. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107952 · Cited by 103

Shape Vocabulary: A Robust and Efficient Shape Representation for Shape Matching

Bai, X., Rao, C., & Wang, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2336542 · Cited by 101

Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval

Gordo, A., & Larlus, D. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.560 · Cited by 93

Cross Modal Retrieval with Querybank Normalisation

Bogolin, S.-V., Croitoru, I., Jin, H., Liu, Y., & Albanie, S. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00513 · Cited by 118

Forensic Analysis of SIFT Keypoint Removal and Injection

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Task-Dependent Visual-Codebook Compression

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Ensemble Diffusion for Retrieval

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Deep Unsupervised Image Hashing by Maximizing Bit Entropy

Li, Y., & van Gemert, J. C. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i3.16296 · Cited by 107

Embedding as a modeling problem

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A Cardinal Generalization of z-Embedding

Blair, R. L. (2020) · CRC Press eBooks · doi:10.1201/9781003072652-2

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor EmbeddingPreprint

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A solution to the reversible embedding problem for finite Markov chainsPreprint

Jia, C. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1605.03502 · Cited by 2

An Optimal Skorokhod Embedding for DiffusionsPreprint

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