| 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 | 1673 | 2015 |
| Efficient gan-based anomaly detection H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar arXiv preprint arXiv:1802.06222, 2018 | 819 | 2018 |
| 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, 384-399, 2012 | 547 | 2012 |
| Localization in underwater sensor networks: survey and challenges V Chandrasekhar, WKG Seah, YS Choo, HV Ee Proceedings of the 1st International Workshop on Underwater Networks, 33-40, 2006 | 526 | 2006 |
| 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 | 452 | 2018 |
| 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 | 442 | 2008 |
| Mobile visual search B Girod, V Chandrasekhar, DM Chen, NM Cheung, R Grzeszczuk, ... IEEE signal processing magazine 28 (4), 61-76, 2011 | 421 | 2011 |
| 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 | 319 | 2018 |
| 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 | 307 | 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 | 196 | 2010 |
| An area localization scheme for underwater sensor networks V Chandrasekhar, W Seah OCEANS 2006-Asia Pacific, 1-8, 2006 | 193 | 2006 |
| Towards the alexnet moment for homomorphic encryption: Hcnn, the first homomorphic cnn on encrypted data with gpus A Al Badawi, C Jin, J Lin, CF Mun, SJ Jie, BHM Tan, X Nan, KMM Aung, ... IEEE Transactions on Emerging Topics in Computing 9 (3), 1330-1343, 2020 | 190 | 2020 |
| 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 | 175 | 2011 |
| A* 3d dataset: Towards autonomous driving in challenging environments QH Pham, P Sevestre, RS Pahwa, H Zhan, CH Pang, Y Chen, A Mustafa, ... 2020 IEEE International conference on Robotics and Automation (ICRA), 2267-2273, 2020 | 157 | 2020 |
| 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 | 156 | 2015 |
| 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, 324-332, 2009 | 132 | 2009 |
| Object detection meets knowledge graphs Y Fang, K Kuan, J Lin, C Tan, V Chandrasekhar International Joint Conferences on Artificial Intelligence, 2017 | 129 | 2017 |
| Dehazegan: When image dehazing meets differential programming. H Zhu, X Peng, V Chandrasekhar, L Li, JH Lim IJCAI, 1234-1240, 2018 | 128 | 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 | 126 | 2009 |
| Deep learning for lung cancer detection: tackling the kaggle data science bowl 2017 challenge K Kuan, M Ravaut, G Manek, H Chen, J Lin, B Nazir, C Chen, TC Howe, ... arXiv preprint arXiv:1705.09435, 2017 | 110 | 2017 |
Bernd GirodProfessor of Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
