Publications - Machine Learning SG

Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery (2019)

Himanshu Aggarwal Rajiv Ratn Shah Suhua Tang Feida Zhu

hash function pairwise comparison data modeling hamming space machine learning +6 more

2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM) 1 citations Published 2019-09-01
Simultaneous Nonlocal Self-Similarity Prior for Image Denoising (2019)

Zhiyuan Zha Xin Yuan Bihan Wen Jiachao Zhang Jiantao Zhou Ce Zhu

image restoration image processing deblurring mixture model prior probability +6 more

2019 IEEE International Conference on Image Processing (ICIP) 1 citations Published 2019-09-01
Sense Equivalence in plWordNet to Princeton WordNet Mapping (2019)

Ewa Rudnicka Maciej Piasecki Francis Bond Łukasz Grabowski Tadeusz Piotrowski

wordnet equivalence computer science natural language processing artificial intelligence

International Journal of Lexicography 3 citations Published 2019-09-01
Self-Refining Deep Symmetry Enhanced Network for Rain Removal (2019)

Hong Liu Hanrong Ye Xia Li Wei Shi Mengyuan Liu Qianru Sun

convolutional neural network image restoration feature extraction equivariant map convolution +6 more

2019 IEEE International Conference on Image Processing (ICIP) Published 2019-09-01
Scene Text Detection Via Cascade FPN and Channel Enhancement (2019)

Wenjia Wang Yu Shen

object detection minimum bounding box convolutional neural network channel pattern recognition +6 more

2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM) Published 2019-09-01
Robust Wasserstein Profile Inference and Applications to Machine Learning (2019)

Jose Blanchet Yang Kang Karthyek Murthy

empirical likelihood support vector machine inference estimator robust optimization +6 more

Journal of Applied Probability 46 citations Published 2019-09-01
Residual U-Net for Retinal Vessel Segmentation (2019)

Di Li Dhimas Arief Dharmawan Boon Poh Ng Susanto Rahardja

residual image segmentation segmentation deep learning feature extraction +6 more

2019 IEEE International Conference on Image Processing (ICIP) 6 citations Published 2019-09-01
Remaining Useful Life Prediction Using Time-Frequency Feature and Multiple Recurrent Neural Networks (2019)

Jihoon Hong Qiushi Wang Xueheng Qiu Hian Leng Chan

deep learning recurrent neural network artificial neural network feature extraction wavelet transform +6 more

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Published 2019-09-01
Pre-trained Affective Word Representations (2019)

Kushal Chawla Sopan Khosla Niyati Chhaya Kokil Jaidka

word2vec sentiment analysis lexicon formality semantics +6 more

2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) Published 2019-09-01
Pose Guided Global and Local GAN for Appearance Preserving Human Video Prediction (2019)

Jilin Tang Haoji Hu Qiang Zhou Hangguan Shan Chuan Tian Tony Q. S. Quek

human video feature extraction computer vision computer science artificial intelligence +1 more

2019 IEEE International Conference on Image Processing (ICIP) 2 citations Published 2019-09-01
Patch-Level Regularizer for Convolutional Neural Network (2019)

Dejiang Xu Mong Li Lee Wynne Hsu

convolutional neural network pattern recognition computer science artificial intelligence error analysis

2019 IEEE International Conference on Image Processing (ICIP) Published 2019-09-01
Palmprint Recognition Using Realistic Animation Aided Data Augmentation (2019)

Swarup Pranjal Adams Wai Kin Kong

computer animation feature extraction word error rate solid modeling computer vision +4 more

2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS) Published 2019-09-01
Multitask Representation Learning for Multimodal Estimation of Depression Level (2019)

Syed Arbaaz Qureshi Sriparna Saha Mohammed Hasanuzzaman Gael Dias Erik Cambria

multi task learning feature learning artificial neural network modalities machine learning +6 more

The Missouri Review 9 citations Published 2019-09-01
Multiple Hypothesis Video Relation Detection (2019)

Donglin Di Xindi Shang Weinan Zhang Xun Yang Tat-Seng Chua

feature extraction robustness visualization machine learning task analysis +6 more

2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM) Published 2019-09-01
Multi-View Metric Learning for Multi-Label Image Classification (2019)

Mengying Zhang Changsheng Li Xiangfeng Wang

metric feature extraction contextual image classification adjacency list feature vector +6 more

2019 IEEE International Conference on Image Processing (ICIP) 2 citations Published 2019-09-01
Multi-Scale Defense of Adversarial Images (2019)

Jiahuan Ji Baojiang Zhong Kai-Kuang Ma

contextual image classification deep learning classifier transform coding kernel +6 more

2019 IEEE International Conference on Image Processing (ICIP) Published 2019-09-01
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions. (2019)

Xinzhe Zhu Yinan Li Xiaonan Wang

biochar lignocellulosic biomass biomass pyrolysis charcoal +5 more

Bioresource Technology 21 citations Published 2019-09-01
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN) (2019)

Rahul Dutta Salahuddin Raju Ashish James Chemmanda John Leo Yong-Joon Jeon Balagopal Unnikrishnan Chuan Sheng Foo Zeng Zeng Kevin Tshun Chuan Chai Vijay R. Chandrasekhar

semi supervised learning supervised learning analogue electronics machine learning computer science +5 more

2019 32nd IEEE International System-on-Chip Conference (SOCC) Published 2019-09-01
Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks (2019)

Li Wang Ting Liu Bing Wang Jie Lin Xulei Yang Gang Wang

deep learning video tracking feature learning recurrent neural network convolutional neural network +6 more

2019 IEEE International Conference on Image Processing (ICIP) 1 citations Published 2019-09-01
Improving Document Binarization Via Adversarial Noise-Texture Augmentation (2019)

Ankan Kumar Bhunia Ayan Kumar Bhunia Aneeshan Sain Partha Pratim Roy

reference document binary image robustness deep learning decoding methods +6 more

2019 IEEE International Conference on Image Processing (ICIP) 3 citations Published 2019-09-01

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Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery (2019)

Simultaneous Nonlocal Self-Similarity Prior for Image Denoising (2019)

Sense Equivalence in plWordNet to Princeton WordNet Mapping (2019)

Self-Refining Deep Symmetry Enhanced Network for Rain Removal (2019)

Scene Text Detection Via Cascade FPN and Channel Enhancement (2019)

Robust Wasserstein Profile Inference and Applications to Machine Learning (2019)

Residual U-Net for Retinal Vessel Segmentation (2019)

Remaining Useful Life Prediction Using Time-Frequency Feature and Multiple Recurrent Neural Networks (2019)

Pre-trained Affective Word Representations (2019)

Pose Guided Global and Local GAN for Appearance Preserving Human Video Prediction (2019)

Patch-Level Regularizer for Convolutional Neural Network (2019)

Palmprint Recognition Using Realistic Animation Aided Data Augmentation (2019)

Multitask Representation Learning for Multimodal Estimation of Depression Level (2019)

Multiple Hypothesis Video Relation Detection (2019)

Multi-View Metric Learning for Multi-Label Image Classification (2019)

Multi-Scale Defense of Adversarial Images (2019)

Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions. (2019)

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN) (2019)

Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks (2019)

Improving Document Binarization Via Adversarial Noise-Texture Augmentation (2019)