Publications - Machine Learning SG

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences (2019)

Huu M. Le Thanh-Toan Do Tuan Hoang Ngai-Man Cheung

point cloud randomized algorithm matching outlier invariant +6 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 12 citations Published 2019-06-15
Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation (2019)

Jonathan Pan

physical security cyber physical system motion interpolation zoom computer security +6 more

arXiv preprint arXiv:1906.06475 Published 2019-06-15
Meta-Transfer Learning for Few-Shot Learning (2019)

Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele

transfer of learning artificial neural network deep learning overfitting categorization +5 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 210 citations Published 2019-06-15
Learning a Unified Classifier Incrementally via Rebalancing (2019)

Saihui Hou Xinyu Pan Chen Change Loy Zilei Wang Dahua Lin

feature learning classifier forgetting categorization normalization +4 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 75 citations Published 2019-06-15
iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule (2019)

Nguyen Quoc Khanh Le Edward Kien Yee Yapp Yu-Yen Ou Hui-Yuan Yeh

protein function prediction motor protein kinesin dynein deep learning +6 more

Analytical Biochemistry 24 citations Published 2019-06-15
Graph-Based Global Reasoning Networks (2019)

Yunpeng Chen Marcus Rohrbach Zhicheng Yan Yan Shuicheng Jiashi Feng Yannis Kalantidis

deep learning convolutional neural network convolution coordinate space feature learning +5 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 111 citations Published 2019-06-15
Evaluating classification accuracy for modern learning approaches. (2019)

Jialiang Li Jialiang Li Ming Gao Ming Gao Ralph D'Agostino

multilayer perceptron deep learning artificial neural network convolutional neural network multicategory +6 more

Statistics in Medicine 10 citations Published 2019-06-15
Delving into 3D Action Anticipation from Streaming Videos. (2019)

Hongsong Wang Jiashi Feng

anticipation machine learning computer science best practice sampling +1 more

arXiv preprint arXiv:1906.06521 2 citations Published 2019-06-15
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection (2019)

Jia-Xing Zhao Yang Cao Deng-Ping Fan Ming-Ming Cheng Xuan-Yi Li Le Zhang

pyramid rgb color model depth perception deep learning computer vision +5 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 128 citations Published 2019-06-15
Auto-Encoding Scene Graphs for Image Captioning (2019)

Xu Yang Kaihua Tang Hanwang Zhang Jianfei Cai

inductive bias directed graph closed captioning scene graph inference +6 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 138 citations Published 2019-06-15
Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review. (2019)

Kai Siang Chan Nabil Zary

applications of artificial intelligence curriculum technology acceptance model target audience medical education +6 more

JMIR Medical Education 21 citations Published 2019-06-15
An End-To-End Network for Generating Social Relationship Graphs (2019)

Arushi Goel Keng Teck Ma Cheston Tan

deep learning explicit knowledge artificial neural network social environment message passing +5 more

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 3 citations Published 2019-06-15
Multi-Subject Stochastic Blockmodels for Adaptive Analysis of Individual Differences in Human Brain Network Cluster Structure. (2019)

Dragana M. Pavlović Dragana M. Pavlović Bryan R. L. Guillaume Bryan R. L. Guillaume Emma K. Towlson Nicole M. Y. Kuek Soroosh Afyouni Petra E. Vértes Thomas B. T. Yeo Edward T. Bullmore Edward T. Bullmore Edward T. Bullmore Thomas E. Nichols

statistical inference mixture model inference type i and type ii errors synthetic data +6 more

bioRxiv 4 citations Published 2019-06-14
Multi-label learning with multi-label smoothing regularization for vehicle re-identification (2019)

Jinhui Hou Huanqiang Zeng Lei Cai Jianqing Zhu Jing Chen Kai-Kuang Ma

smoothing computer vision smart city truck regularization +4 more

Neurocomputing 8 citations Published 2019-06-14
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval (2019)

Thanh-Toan Do Tuan Hoang Dang-Khoa Le Tan Huu Le Tam V. Nguyen Ngai-Man Cheung

content based image retrieval image retrieval binary image convolutional neural network burstiness +6 more

ACM Transactions on Multimedia Computing, Communications, and Applications 8 citations Published 2019-06-14
Distributed Optimization for Over-Parameterized Learning (2019)

Chi Zhang Qianxiao Li

convex optimization local search parameterized complexity deep learning convergence +4 more

arXiv preprint arXiv:1906.06205 1 citations Published 2019-06-14
Computing Committor Functions for the Study of Rare Events Using Deep Learning (2019)

Qianxiao Li Qianxiao Li Bo Lin Weiqing Ren

curse of dimensionality rare events feature engineering complex systems deep learning +6 more

arXiv preprint arXiv:1906.06285 Published 2019-06-14
A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram (2019)

Yisha Lan Yimin Ding Xin Luo Yanzhao Zhang Chenxi Huang E. Y. K. Ng Weihong Huang Xuezhong Zhou Jie Su Yonghong Peng Zhicheng Wang Yongqiang Cheng Wenliang Che

rendering volume rendering histogram cluster analysis visualization +6 more

IEEE Access Published 2019-06-14
Unsupervised Image Noise Modeling with Self-Consistent GAN. (2019)

Hanshu Yan Vincent Y. F. Tan Wenhan Yang Jiashi Feng

image noise image processing unsupervised learning noise map deep learning +6 more

arXiv preprint arXiv:1906.05762 5 citations Published 2019-06-13
A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data (2019)

Chao Ren Yan Xu

missing data deep learning observability network topology data driven +6 more

IEEE Transactions on Power Systems 25 citations Published 2019-06-13

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SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences (2019)

Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation (2019)

Meta-Transfer Learning for Few-Shot Learning (2019)

Learning a Unified Classifier Incrementally via Rebalancing (2019)

iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule (2019)

Graph-Based Global Reasoning Networks (2019)

Evaluating classification accuracy for modern learning approaches. (2019)

Delving into 3D Action Anticipation from Streaming Videos. (2019)

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection (2019)

Auto-Encoding Scene Graphs for Image Captioning (2019)

Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review. (2019)

An End-To-End Network for Generating Social Relationship Graphs (2019)

Multi-Subject Stochastic Blockmodels for Adaptive Analysis of Individual Differences in Human Brain Network Cluster Structure. (2019)

Multi-label learning with multi-label smoothing regularization for vehicle re-identification (2019)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval (2019)

Distributed Optimization for Over-Parameterized Learning (2019)

Computing Committor Functions for the Study of Rare Events Using Deep Learning (2019)

A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram (2019)

Unsupervised Image Noise Modeling with Self-Consistent GAN. (2019)

A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data (2019)