Publications - Machine Learning SG

A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction (2018)

Zhiyong Cheng Ying Ding Xiangnan He Lei Zhu Xuemeng Song Mohan S. Kankanhalli

computer science machine learning artificial intelligence attention model

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence 105 citations Published 2018-07-01
A Non-Parametric Generative Model for Human Trajectories (2018)

Kun Ouyang Reza Shokri David S. Rosenblum Wenzhuo Yang

generative model nonparametric statistics computer science pattern recognition artificial intelligence

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence 14 citations Published 2018-07-01
3D-Aided Deep Pose-Invariant Face Recognition. (2018)

Jian Zhao Jian Zhao Lin Xiong Yu Cheng Yi Cheng Jianshu Li Li Zhou Yan Xu Jayashree Karlekar Sugiri Pranata Shengmei Shen Junliang Xing Shuicheng Yan Jiashi Feng

facial recognition system invariant computer vision computer science artificial intelligence

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence 19 citations Published 2018-07-01
The orthographic similarity structure of English words: Insights from network science. (2018)

Cynthia S. Q. Siew Cynthia S. Q. Siew

mental lexicon psycholinguistics lexical decision task edit distance network science +6 more

Applied Network Science 12 citations Published 2018-06-25
Structured AutoEncoders for Subspace Clustering. (2018)

Xi Peng Jiashi Feng Shijie Xiao Wei-Yun Yau Joey Tianyi Zhou Songfan Yang

subspace topology linear subspace autoencoder data point pattern recognition +6 more

IEEE Transactions on Image Processing 166 citations Published 2018-06-18
Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion (2018)

Nicholas F. Y. Chen

frame rate object detection motion blur supervised learning convolutional neural network +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 18 citations Published 2018-06-18
Multi-view Harmonized Bilinear Network for 3D Object Recognition (2018)

Tan Yu Jingjing Meng Junsong Yuan

bilinear interpolation pooling polynomial kernel convolutional neural network feature extraction +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 75 citations Published 2018-06-18
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models (2018)

Jiuxiang Gu Jianfei Cai Shafiq Joty Li Niu Gang Wang

feature vector visualization semantics generative grammar modal +5 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 151 citations Published 2018-06-18
Learning Attribute Representations with Localization for Flexible Fashion Search (2018)

Kenan E. Ak Ashraf A. Kassim Joo Hwee Lim Jo Yew Tham

similarity learning image retrieval feature extraction information retrieval artificial intelligence +2 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 44 citations Published 2018-06-18
Interactive Image Segmentation with Latent Diversity (2018)

Zhuwen Li Qifeng Chen Vladlen Koltun

image segmentation segmentation machine learning artificial intelligence task analysis +4 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 58 citations Published 2018-06-18
Grounding Referring Expressions in Images by Variational Context (2018)

Hanwang Zhang Yulei Niu Shih-Fu Chang

context model referent referring expression expression posterior probability +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 90 citations Published 2018-06-18
Emotional Attention: A Study of Image Sentiment and Visual Attention (2018)

Shaojing Fan Zhiqi Shen Ming Jiang Bryan L. Koenig Juan Xu Mohan S. Kankanhalli Qi Zhao

automatic image annotation salience visual perception perception semantics +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 31 citations Published 2018-06-18
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals (2018)

Shanxin Yuan Guillermo Garcia-Hernando Bjorn Stenger Gyeongsik Moon Ju Yong Chang Kyoung Mu Lee Pavlo Molchanov Jan Kautz Sina Honari Liuhao Ge Junsong Yuan Xinghao Chen Guijin Wang Fan Yang Kai Akiyama Yang Wu Qingfu Wan Meysam Madadi Sergio Escalera Shile Li Dongheui Lee Iason Oikonomidis Antonis Argyros Tae-Kyun Kim

3d pose estimation pose discriminative model solid modeling computer vision +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 135 citations Published 2018-06-18
CRRN: Multi-scale Guided Concurrent Reflection Removal Network (2018)

Renjie Wan Boxin Shi Ling-Yu Duan Ah-Hwee Tan Alex C. Kot

feature extraction pattern recognition artificial intelligence computer science prior probability +3 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 30 citations Published 2018-06-18
A Constrained Deep Neural Network for Ordinal Regression (2018)

Chi Keong Goh Yanzhu Liu Adams Wai Kin Kong

ordinal regression supervised learning deep learning artificial neural network ordinal number +6 more

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 15 citations Published 2018-06-18
Interpretation of ANN-based QSAR models for prediction of antioxidant activity of flavonoids. (2018)

Petar Žuvela Jonathan David Ming Wah Wong

quantitative structure activity relationship molecular descriptor artificial neural network ranking machine learning +3 more

Journal of Computational Chemistry 20 citations Published 2018-06-15
Modeling Alzheimer’s disease progression using deep recurrent neural networks (2018)

Minh Nguyen Nanbo Sun Daniel C. Alexander Jiashi Feng B.T. Thomas Yeo

missing data data modeling recurrent neural network language model machine learning +6 more

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) 13 citations Published 2018-06-12
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence (2018)

Tong He Ru Kong Avram J. Holmes Mert R. Sabuncu Simon B. Eickhoff Danilo Bzdok Jiashi Feng B. T. Thomas Yeo

deep learning artificial neural network convolutional neural network kernel regression kernel +5 more

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) 12 citations Published 2018-06-12
A Co-Matching Model for Multi-choice Reading Comprehension (2018)

Shuohang Wang Mo Yu Jing Jiang Shiyu Chang

reading comprehension natural language processing computer science artificial intelligence

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 52 citations Published 2018-06-11
Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach. (2018)

Léon-Charles Tranchevent Petr V. Nazarov Tony Kaoma Georges P. Schmartz Arnaud Muller Sang-Yoon Kim Jagath Chandana Rajapakse Francisco Azuaje

biological network centrality network topology experimental data machine learning +4 more

Biology Direct 13 citations Published 2018-06-07

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A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction (2018)

A Non-Parametric Generative Model for Human Trajectories (2018)

3D-Aided Deep Pose-Invariant Face Recognition. (2018)

The orthographic similarity structure of English words: Insights from network science. (2018)

Structured AutoEncoders for Subspace Clustering. (2018)

Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion (2018)

Multi-view Harmonized Bilinear Network for 3D Object Recognition (2018)

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models (2018)

Learning Attribute Representations with Localization for Flexible Fashion Search (2018)

Interactive Image Segmentation with Latent Diversity (2018)

Grounding Referring Expressions in Images by Variational Context (2018)

Emotional Attention: A Study of Image Sentiment and Visual Attention (2018)

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals (2018)

CRRN: Multi-scale Guided Concurrent Reflection Removal Network (2018)

A Constrained Deep Neural Network for Ordinal Regression (2018)

Interpretation of ANN-based QSAR models for prediction of antioxidant activity of flavonoids. (2018)

Modeling Alzheimer’s disease progression using deep recurrent neural networks (2018)

Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence (2018)

A Co-Matching Model for Multi-choice Reading Comprehension (2018)

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach. (2018)