Publications - Machine Learning SG

Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures (2020)

Mantang Guo Junhui Hou Jing Jin Jie Chen Lap-Pui Chau

coded aperture regularization inverse problem deep learning parallax +6 more

arXiv preprint arXiv:2007.11882 Published 2020-07-23
Constructing and Optimizing 3D Atlases From 2D Data With Application to the Developing Mouse Brain (2020)

David M Young David M Young Siavash Fazel Darbandi Grace Schwartz Zachary Bonzell Deniz Yuruk Mai Nojima Laurent Gole John L Rubenstein Weimiao Yu Stephan J Sanders

brain atlas software atlas pattern recognition computer science +3 more

bioRxiv Published 2020-07-23
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning (2020)

Mobarakol Islam Daniel A. Atputharuban Ravikiran Ramesh Hongliang Ren

segmentation convolutional neural network robotics robot robotic surgery +6 more

arXiv preprint arXiv:2007.11319 Published 2020-07-22
Neural Sparse Voxel Fields (2020)

Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt

sparse voxel octree rendering voxel computer graphics rgb color model +6 more

arXiv preprint arXiv:2007.11571 5 citations Published 2020-07-22
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. (2020)

Milad Nasr Reza Shokri Amir Houmansadr

differential privacy mnist database deep learning encoding noise reduction +5 more

arXiv preprint arXiv:2007.11524 2 citations Published 2020-07-22
Generating Face Images With Attributes for Free. (2020)

Yaoyao Liu Qianru Sun Xiangnan He An-An Liu Yuting Su Tat-Seng Chua

facial recognition system semantic gap pattern recognition embedding computer science +3 more

IEEE Transactions on Neural Networks Published 2020-07-22
Device Feature Extraction Based on Parallel Neural Network Training for Replay Spoofing Detection (2020)

Chang Huai You Jichen Yang

spoofing attack discrete cosine transform artificial neural network rdf mel frequency cepstrum +6 more

IEEE Transactions on Audio, Speech, and Language Processing Published 2020-07-22
A Multi-Scale Attributes Attention Model for Transport Mode Identification (2020)

Guiyuan Jiang Siew-Kei Lam Peilan He Changhai Ou Dihao Ai

inertial measurement unit deep learning trajectory global positioning system random forest +6 more

IEEE Transactions on Intelligent Transportation Systems Published 2020-07-22
SSIDS: Semi-Supervised Intrusion Detection System by Extending the Logical Analysis of Data. (2020)

Tanmoy Kanti Das S. Gangopadhyay Jianying Zhou

intrusion detection system supervised learning classifier boolean function machine learning +5 more

arXiv preprint arXiv:2007.10608 Published 2020-07-21
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry (2020)

He Chen Pengfei Guo Pengfei Li Gim Hee Lee Gregory Chirikjian Gregory Chirikjian

3d pose estimation pose epipolar geometry maximum a posteriori estimation estimator +6 more

arXiv preprint arXiv:2007.10986 Published 2020-07-21
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. (2020)

Congbo Ma Congbo Ma Hu Wang Hu Wang Steven C.H. Hoi Steven C.H. Hoi

contextual image classification machine learning computer science radiation treatment planning artificial intelligence +5 more

arXiv preprint arXiv:2007.10859 Published 2020-07-21
Lymphocyte counting -- Error Analysis of Regression versus Bounding Box Detection Approaches (2020)

Lin Geng Foo Alexander Binder

minimum bounding box haematoxylin sample size determination regression stain +6 more

arXiv preprint arXiv:2007.10817 Published 2020-07-21
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling (2020)

Yuliang Zou Pan Ji Quoc-Huy Tran Jia-Bin Huang Manmohan Chandraker

visual odometry pose monocular computer vision computer science +4 more

arXiv preprint arXiv:2007.10983 2 citations Published 2020-07-21
E-Commerce Product Categorization via Machine Translation (2020)

Liling Tan Maggie Yundi Li Stanley Kok

categorization machine translation e commerce natural language processing computer science +1 more

ACM Transactions on Management Information Systems Published 2020-07-21
Balanced Meta-Softmax for Long-Tailed Visual Recognition (2020)

Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li

softmax function pattern recognition segmentation regression computer science +3 more

arXiv preprint arXiv:2007.10740 2 citations Published 2020-07-21
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems. (2020)

Andrés Ussa Chockalingam Senthil Rajen Deepak Singla Jyotibdha Acharya Gideon Fu Chuanrong Arindam Basu Bharath Ramesh

truenorth video tracking neuromorphic engineering deep learning low latency +6 more

arXiv preprint arXiv:2007.11404 Published 2020-07-21
Security Evaluation of Deep Neural Network Resistance Against Laser Fault Injection (2020)

Xiaolu Hou Jakub Breier Dirmanto Jap Lei Ma Shivam Bhasin Yang Liu

deep learning robustness artificial neural network softmax function sigmoid function +6 more

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA) Published 2020-07-20
Restricted Boltzmann Machine-driven Interactive Estimation of Distribution Algorithm for personalized search (2020)

Lin Bao Lin Bao Xiaoyan Sun Yang Chen Dunwei Gong Yongwei Zhang

personalized search movielens restricted boltzmann machine estimation of distribution algorithm evolutionary algorithm +6 more

Knowledge Based Systems Published 2020-07-20
Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis (2020)

Daan van der Valk Marina Krcek Stjepan Picek Shivam Bhasin

deep learning artificial neural network side channel attack exploit machine learning +4 more

2020 57th ACM/IEEE Design Automation Conference (DAC) Published 2020-07-20
Language model based interactive estimation of distribution algorithm (2020)

Yang Chen Yang Chen Yaochu Jin Xiaoyan Sun

estimation of distribution algorithm personalized search evolutionary algorithm optimization problem language model +5 more

Knowledge Based Systems Published 2020-07-20

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Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures (2020)

Constructing and Optimizing 3D Atlases From 2D Data With Application to the Developing Mouse Brain (2020)

Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning (2020)

Neural Sparse Voxel Fields (2020)

Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. (2020)

Generating Face Images With Attributes for Free. (2020)

Device Feature Extraction Based on Parallel Neural Network Training for Replay Spoofing Detection (2020)

A Multi-Scale Attributes Attention Model for Transport Mode Identification (2020)

SSIDS: Semi-Supervised Intrusion Detection System by Extending the Logical Analysis of Data. (2020)

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry (2020)

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. (2020)

Lymphocyte counting -- Error Analysis of Regression versus Bounding Box Detection Approaches (2020)

Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling (2020)

E-Commerce Product Categorization via Machine Translation (2020)

Balanced Meta-Softmax for Long-Tailed Visual Recognition (2020)

A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems. (2020)

Security Evaluation of Deep Neural Network Resistance Against Laser Fault Injection (2020)

Restricted Boltzmann Machine-driven Interactive Estimation of Distribution Algorithm for personalized search (2020)

Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis (2020)

Language model based interactive estimation of distribution algorithm (2020)