Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs
Al Badawi, Ahmad, Jin, Chao, Lin, Jie, Mun, Chan Fook, Jie, Sim Jun, Tan, Benjamin Hong Meng, Nan, Xiao, Aung, Khin Mi Mi, Chandrasekhar, Vijay Ramaseshan
Published in IEEE transactions on emerging topics in computing (01.07.2021)
Published in IEEE transactions on emerging topics in computing (01.07.2021)
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Journal Article
Bayesian Deep Active Learning for Analog Circuit Performance Classification
Zhang, Lining, Raju, Salahuddin, James, Ashish, Dutta, Rahul, Fournier, Gregoire, Lancry, Damien, Chuan, Kevin Chai Tshun, Chandrasekhar, Vijay Ramaseshan, Foo, Chuan Sheng
Published in 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (28.05.2022)
Published in 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (28.05.2022)
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Conference Proceeding
ICDAR 2015 competition on Robust Reading
Karatzas, Dimosthenis, Gomez-Bigorda, Lluis, Nicolaou, Anguelos, Ghosh, Suman, Bagdanov, Andrew, Iwamura, Masakazu, Matas, Jiri, Neumann, Lukas, Chandrasekhar, Vijay Ramaseshan, Shijian Lu, Shafait, Faisal, Uchida, Seiichi, Valveny, Ernest
Published in 2015 13th International Conference on Document Analysis and Recognition (ICDAR) (01.08.2015)
Published in 2015 13th International Conference on Document Analysis and Recognition (ICDAR) (01.08.2015)
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Conference Proceeding
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Cai, Lile, Barneche, Anne-Maelle, Herbout, Arthur, Foo, Chuan Sheng, Lin, Jie, Chandrasekhar, Vijay Ramaseshan, Sabry Aly, Mohamed M.
Published in 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) (01.07.2019)
Published in 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) (01.07.2019)
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Conference Proceeding
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
Pahwa, Ramanpreet Singh, Chandrasekhar, Vijay Ramaseshan, Chao, Jin, Paul, Jestine, Li, Yiqun, Lay Nwe, Ma Tin, Xie, Shudong, James, Ashish, Ambikapathi, Arulmurugan, Zeng, Zeng
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01.10.2019)
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01.10.2019)
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Conference Proceeding
Work-in-Progress: EAST-DNN: Expediting Architectural SimulaTions Using Deep Neural Networks
Dutt, Arko, Narasimman, Govind, Jie, Lin, Chandrasekhar, Vijay Ramaseshan, Sabry, Mohamed M.
Published in 2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) (01.10.2019)
Published in 2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) (01.10.2019)
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Conference Proceeding
Knowledge-Graph Based Multi-Target Deep-Learning Models for Train Anomaly Detection
Qin, Zhiliang, Cen, Chen, Jie, Wang, Gee, Teo Sin, Chandrasekhar, Vijay Ramaseshan, Peng, Zhongbo, Zeng, Zeng
Published in 2018 International Conference on Intelligent Rail Transportation (ICIRT) (01.12.2018)
Published in 2018 International Conference on Intelligent Rail Transportation (ICIRT) (01.12.2018)
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Conference Proceeding
Adversarially Learned Anomaly Detection
Zenati, Houssam, Romain, Manon, Foo, Chuan Sheng, Lecouat, Bruno, Chandrasekhar, Vijay Ramaseshan
Year of Publication 05.12.2018
Year of Publication 05.12.2018
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Journal Article
Graph Convolutional Neural Networks for Polymers Property Prediction
Zeng, Minggang, Kumar, Jatin Nitin, Zeng, Zeng, Savitha, Ramasamy, Chandrasekhar, Vijay Ramaseshan, Hippalgaonkar, Kedar
Year of Publication 15.11.2018
Year of Publication 15.11.2018
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Journal Article
Efficient GAN-Based Anomaly Detection
Zenati, Houssam, Foo, Chuan Sheng, Lecouat, Bruno, Manek, Gaurav, Chandrasekhar, Vijay Ramaseshan
Year of Publication 17.02.2018
Year of Publication 17.02.2018
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Journal Article
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
Pahwa, Ramanpreet Singh, Chao, Jin, Paul, Jestine, Li, Yiqun, Nwe, Ma Tin Lay, Xie, Shudong, James, Ashish, Ambikapathi, Arulmurugan, Zeng, Zeng, Chandrasekhar, Vijay Ramaseshan
Year of Publication 08.11.2019
Year of Publication 08.11.2019
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Journal Article