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Picture for Vijay Ramaseshan Chandrasekhar

Vijay Ramaseshan Chandrasekhar

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision

Nov 09, 2019
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar

* 8 pages, 8 figures, ITSC 2019 

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Adversarially Learned Anomaly Detection

Dec 06, 2018
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar

* In the Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), 2018 

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TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

Nov 29, 2018
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry

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Graph Convolutional Neural Networks for Polymers Property Prediction

Nov 15, 2018
Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar

* Accepted for NIPS 2018 Workshop on Machine Learning for Molecules and Materials 

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The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs

Nov 02, 2018
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar

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Efficient GAN-Based Anomaly Detection

Feb 17, 2018
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar

* Submitted to the ICLR Workshop 2018 

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