Vijay Chandrasekhar
Vijay Chandrasekhar
IEEE Senior Member, R&D
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ICDAR 2015 competition on robust reading
D Karatzas, L Gomez-Bigorda, A Nicolaou, S Ghosh, A Bagdanov, ...
2015 13th International Conference on Document Analysis and Recognition …, 2015
Compressed histogram of gradients: A low-bitrate descriptor
V Chandrasekhar, G Takacs, DM Chen, SS Tsai, Y Reznik, R Grzeszczuk, ...
International journal of computer vision 96 (3), 384-399, 2012
Localization in underwater sensor networks: survey and challenges
V Chandrasekhar, WKG Seah, YS Choo, HV Ee
Proceedings of the 1st ACM international workshop on Underwater networks, 33-40, 2006
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
G Takacs, V Chandrasekhar, N Gelfand, Y Xiong, WC Chen, ...
Proceedings of the 1st ACM international conference on Multimedia …, 2008
Mobile visual search
B Girod, V Chandrasekhar, DM Chen, NM Cheung, R Grzeszczuk, ...
IEEE signal processing magazine 28 (4), 61-76, 2011
Efficient gan-based anomaly detection
H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar
arXiv preprint arXiv:1802.06222, 2018
Unified real-time tracking and recognition with rotation-invariant fast features
G Takacs, V Chandrasekhar, S Tsai, D Chen, R Grzeszczuk, B Girod
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
An area localization scheme for underwater sensor networks
V Chandrasekhar, W Seah
OCEANS 2006-Asia Pacific, 1-8, 2006
The stanford mobile visual search data set
VR Chandrasekhar, DM Chen, SS Tsai, NM Cheung, H Chen, G Takacs, ...
Proceedings of the second annual ACM conference on Multimedia systems, 117-122, 2011
Adversarially learned anomaly detection
H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar
2018 IEEE International conference on data mining (ICDM), 727-736, 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ...
arXiv preprint arXiv:1807.02629, 2018
Transform coding of image feature descriptors
V Chandrasekhar, G Takacs, D Chen, SS Tsai, J Singh, B Girod
Visual Communications and Image Processing 2009 7257, 725710, 2009
Accelerating materials development via automation, machine learning, and high-performance computing
JP Correa-Baena, K Hippalgaonkar, J van Duren, S Jaffer, ...
Joule 2 (8), 1410-1420, 2018
Tree histogram coding for mobile image matching
DM Chen, SS Tsai, V Chandrasekhar, G Takacs, J Singh, B Girod
2009 Data Compression Conference, 143-152, 2009
Overview of the MPEG-CDVS standard
LY Duan, V Chandrasekhar, J Chen, J Lin, Z Wang, T Huang, B Girod, ...
IEEE Transactions on Image Processing 25 (1), 179-194, 2015
Survey and evaluation of audio fingerprinting schemes for mobile query-by-example applications
V Chandrasekhar, M Sharifi, D Ross
Mobile product recognition
SS Tsai, D Chen, V Chandrasekhar, G Takacs, NM Cheung, ...
Proceedings of the 18th ACM international conference on Multimedia, 1587-1590, 2010
Fast geometric re-ranking for image-based retrieval
SS Tsai, D Chen, G Takacs, V Chandrasekhar, R Vedantham, ...
2010 IEEE International Conference on Image Processing, 1029-1032, 2010
Residual enhanced visual vector as a compact signature for mobile visual search
D Chen, S Tsai, V Chandrasekhar, G Takacs, R Vedantham, ...
Signal Processing 93 (8), 2316-2327, 2013
Mobile visual search: Architectures, technologies, and the emerging MPEG standard
B Girod, V Chandrasekhar, R Grzeszczuk, YA Reznik
IEEE MultiMedia 18 (3), 86-94, 2011
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