Jie Lin
Jie Lin
Institute for Infocomm Research, A*STAR, Singapore
在 i2r.a-star.edu.sg 的电子邮件经过验证 - 首页
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
B Mandal, L Li, GS Wang, J Lin
IEEE Transactions on Intelligent Transportation Systems 18 (3), 545-557, 2017
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
Real-time rail head surface defect detection: A geometrical approach
L Jie, L Siwei, L Qingyong, Z Hanqing, R Shengwei
2009 IEEE International Symposium on Industrial Electronics, 769-774, 2009
Object detection meets knowledge graphs
Y Fang, K Kuan, J Lin, C Tan, V Chandrasekhar
International Joint Conferences on Artificial Intelligence, 2017
A practical guide to CNNs and Fisher Vectors for image instance retrieval
V Chandrasekhar, J Lin, O Morere, H Goh, A Veillard
Signal Processing 128, 426-439, 2016
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs
AA Badawi, J Chao, J Lin, CF Mun, JJ Sim, BHM Tan, X Nan, KMM Aung, ...
arXiv preprint arXiv:1811.00778, 2018
Compact descriptors for visual search
LY Duan, J Lin, J Chen, T Huang, W Gao
IEEE MultiMedia 21 (3), 30-40, 2014
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
Compact descriptors for mobile visual search and MPEG CDVS standardization
LY Duan, F Gao, J Chen, J Lin, T Huang
2013 IEEE international symposium on circuits and systems (ISCAS), 885-888, 2013
Compact descriptors for video analysis: the emerging mpeg standard
LY Duan, V Chandrasekhar, S Wang, Y Lou, J Lin, Y Bai, T Huang, ...
IEEE MultiMedia, 2018
Rate-adaptive compact fisher codes for mobile visual search
J Lin, LY Duan, Y Huang, S Luo, T Huang, W Gao
IEEE Signal Processing Letters 21 (2), 195-198, 2014
Weighted component hashing of binary aggregated descriptors for fast visual search
LY Duan, J Lin, Z Wang, T Huang, W Gao
IEEE Transactions on Multimedia 17 (6), 828-842, 2015
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
Deephash: Getting regularization, depth and fine-tuning right
J Lin, O Morere, V Chandrasekhar, A Veillard, H Goh
arXiv preprint arXiv:1501.04711, 2015
Compact deep invariant descriptors for video retrieval
Y Lou, Y Bai, J Lin, S Wang, J Chen, V Chandrasekhar, LY Duan, ...
2017 Data Compression Conference (DCC), 420-429, 2017
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
Egocentric activity recognition with multimodal fisher vector
S Song, NM Cheung, V Chandrasekhar, B Mandal, J Liri
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
A practical guide to cnns and fisher vectors for image instance retrieval
V Chandrasekhar, J Lin, O Morère, H Goh, A Veillard
arXiv preprint arXiv:1508.02496, 2015
Robust fisher codes for large scale image retrieval
J Lin, LY Duan, T Huang, W Gao
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Compression of Deep Neural Networks for Image Instance Retrieval
V Chandrasekhar, J Lin, Q Liao, O Morère, A Veillard, L Duan, T Poggio
arXiv preprint arXiv:1701.04923, 2017
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