Artiklar med krav på offentlig åtkomst - Vijay ChandrasekharLäs mer
Inte tillgängliga någonstans: 11
Doren: toward efficient deep convolutional neural networks with fully homomorphic encryption
S Meftah, BHM Tan, CF Mun, KMM Aung, B Veeravalli, V Chandrasekhar
IEEE Transactions on Information Forensics and Security 16, 3740-3752, 2021
Krav: A*Star, Singapore
Hnip: Compact deep invariant representations for video matching, localization, and retrieval
J Lin, LY Duan, S Wang, Y Bai, Y Lou, V Chandrasekhar, T Huang, A Kot, ...
IEEE Transactions on Multimedia 19 (9), 1968-1983, 2017
Krav: National Natural Science Foundation of China
Towards practical unsupervised anomaly detection on retinal images
K Ouardini, H Yang, B Unnikrishnan, M Romain, C Garcin, H Zenati, ...
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
Krav: US National Science Foundation, US National Institutes of Health, A*Star …
Multi-sensor self-quantification of presentations
T Gan, Y Wong, B Mandal, V Chandrasekhar, MS Kankanhalli
Proceedings of the 23rd ACM international conference on Multimedia, 601-610, 2015
Krav: National Research Foundation, Singapore
A wearable virtual usher for vision-based cognitive indoor navigation
L Li, Q Xu, V Chandrasekhar, JH Lim, C Tan, MA Mukawa
IEEE Transactions on Cybernetics 47 (4), 841-854, 2016
Krav: A*Star, Singapore
Rate-distortion optimized coding for efficient cnn compression
W Zhe, J Lin, MS Aly, S Young, V Chandrasekhar, B Girod
2021 Data Compression Conference (DCC), 253-262, 2021
Krav: A*Star, Singapore
Gated square-root pooling for image instance retrieval
Z Chen, J Lin, V Chandrasekhar, LY Duan
2018 25th IEEE International Conference on Image Processing (ICIP), 1982-1986, 2018
Krav: National Natural Science Foundation of China, A*Star, Singapore
Knowledge-graph based multi-target deep-learning models for train anomaly detection
Z Qin, C Cen, W Jie, TS Gee, VR Chandrasekhar, Z Peng, Z Zeng
2018 International Conference on Intelligent Rail Transportation (ICIRT), 1-5, 2018
Krav: National Natural Science Foundation of China
Codebook-free compact descriptor for scalable visual search
Y Wu, F Gao, Y Huang, J Lin, V Chandrasekhar, J Yuan, LY Duan
IEEE Transactions on Multimedia 21 (2), 388-401, 2018
Krav: National Natural Science Foundation of China
Bayesian deep active learning for analog circuit performance classification
L Zhang, S Raju, A James, R Dutta, G Fournier, D Lancry, KCT Chuan, ...
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 3018-3022, 2022
Krav: A*Star, Singapore
East-dnn: Expediting architectural simulations using deep neural networks: Work-in-progress
A Dutt, G Narasimman, L Jie, VR Chandrasekhar, MM Sabry
Proceedings of the International Conference on Hardware/Software Codesign …, 2019
Krav: A*Star, Singapore
Tillgängliga någonstans: 28
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
Krav: A*Star, Singapore
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
Krav: US Department of Energy, A*Star, Singapore
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
Krav: A*Star, Singapore
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
Krav: A*Star, Singapore
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
Krav: National Natural Science Foundation of China
Dehazegan: When image dehazing meets differential programming.
H Zhu, X Peng, V Chandrasekhar, L Li, JH Lim
IJCAI, 1234-1240, 2018
Krav: National Natural Science Foundation of China
The unusual effectiveness of averaging in GAN training
Y Yaz, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar
International Conference on Learning Representations, 2018
Krav: A*Star, Singapore, National Research Foundation, Singapore
Compact descriptors for video analysis: The emerging MPEG standard
LY Duan, Y Lou, Y Bai, T Huang, W Gao, V Chandrasekhar, J Lin, S Wang, ...
IEEE multimedia 26 (2), 44-54, 2018
Krav: National Natural Science Foundation of China, National Research Foundation …
Interframe coding of feature descriptors for mobile augmented reality
M Makar, V Chandrasekhar, SS Tsai, D Chen, B Girod
IEEE Transactions on Image Processing 23 (8), 3352-3367, 2014
Krav: A*Star, Singapore
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