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Publication date Communities Collections Article title Author(s) Journal/Conference
21 Jun 2021 SERC Institute for Infocomm Research DOReN: Towards Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption Souhail Meftah, Benjamin Hong Meng Tan, Fook Mun Chan, Khin Mi Mi Aung, Bharadwaj Veeravalli, Vijay Chandrasekhar IEEE Transactions on Information Forensics and Security
7 May 2021 SERC Institute for Infocomm Research Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs Ahmad QaisarAhmadAlBadawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Xiao Nan, Benjamin Hong Meng Tan, Khin Mi Mi Aung, Vijay Chandrasekhar IEEE Transactions on Emerging Topics in Computing
7 May 2021 SERC Institute for Infocomm Research Understanding the Nature of First-Person Videos: Characterization and Classification using Low-Level Features Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
26 Oct 2020 SERC Institute for Infocomm Research EMPIRICAL ANALYSIS OF OVERFITTING AND MODE DROP IN GAN TRAINING Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar IEEE International Conference on Image Processing
18 Jul 2020 SERC Institute for Infocomm Research Learning to Prune Deep Neural Networks via Reinforcement Learning Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Lin Jie 7th ICML Workshop on Automated Machine Learning
27 Oct 2019 SERC Institute for Infocomm Research FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision Ramanpreet Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Tin Lay Nwe Ma, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Chandrasekhar IEEE-ITSC 2019
13 Oct 2019 SERC Institute for Infocomm Research Towards Practical Unsupervised Anomaly Detection on Retinal Images Khalil Ouardini Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo DART 2019, MIL3ID 2019: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
22 Sep 2019 SERC Institute for Infocomm Research Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin 2019 IEEE International Conference on Image Processing (ICIP)
22 Sep 2019 SERC Institute for Infocomm Research Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod 2019 IEEE International Conference on Image Processing (ICIP)
2 Aug 2019 SERC Institute for Infocomm Research Holistic Multi-modal Memory Network for Movie Question Answering Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, yi tay, Vijay Chandrasekhar IEEE Transactions on Image Processing (TIP)
2 Jun 2019 SERC Institute for Infocomm Research Semi Supervised Learning of Multi-Dimensional Analog Circuits Rahul Dutta, Salahuddin Raju, Ashish James, Bruno Lecouat, Chemmanda John Leo, Yong-Joon Jeon, Balagopal Unnikrishnan, Chuan Sheng Foo, Zeng Zeng, Kevin Tshun Chuan Chai, Vijay Chandrasekhar Design Automation Conference (DAC) (2019)
6 May 2019 SERC Institute for Infocomm Research Encoding Knowledge Graph with Graph CNN for Question Answering Leo Laugier, Anran Wang, Chuan-Sheng Foo, Theo Guenais, Vijay Chandrasekhar International Conference on Learning Representations Workshop Track (ICLR) (2019)
1 May 2019 SERC Institute for Infocomm Research Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile Mertikopoulos Panayotis, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras International Conference on Learning Representations (2019)
1 May 2019 SERC Institute for Infocomm Research The Unusual Effectiveness of Averaging in GAN Training Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar International Conference on Learning Representations (2019)
26 Mar 2019 SERC Institute for Infocomm Research Dataflow-based Joint Quantization for Deep Neural Networks Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed Aly, Christopher Pal, Vijay Chandrasekhar 2019 Data Compression Conference (DCC)
12 Dec 2018 SERC Institute for Infocomm Research TrackNet - A Deep Learning Based Fault Detection for Railway Track Inspection James Ashish, Jie Wang, Xulei Yang, Chenghao Ye, Bao Ngan Nguyen, Yuxin Lou, Yi Su, Vijay Chandrasekhar, Zeng Zeng 2018 International Conference on Intelligent Rail Transportation (ICIRT)
8 Dec 2018 SERC Institute for Infocomm Research Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
2 Dec 2018 SERC Institute for Infocomm Research Hardware-aware Softmax Approximation for Deep Neural Networks Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar Asian Conference on Computer Vision 2018
17 Nov 2018 SERC Institute for Infocomm Research Adversarially Learned Anomaly Detection Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar IEEE International Conference on Data Mining 2018
19 Jul 2018 SERC Institute for Infocomm Research Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions Xulei Yang, Zeng Zeng, Sin G. Teo, Wang Li, Vijay Chandrasekhar, Steven Hoi KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
30 Apr 2018 SERC Institute for Infocomm Research Semi-Supervised Learning With GANs: Revisiting Manifold Regularization Chuan Sheng Foo, Houssam Zenati, Bruno Lecouat, Vijay Chandrasekhar ICLR 2018
8 Dec 2017 SERC Institute for Infocomm Research VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar The 13th NTCIR Conference on Evaluation of Information Access Technologies
8 Dec 2017 SERC Institute for Infocomm Research Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar The 13th NTCIR Conference on Evaluation of Information Access Technologies
17 Sep 2017 SERC Institute for Infocomm Research REGION AVERAGE POOLING FOR CONTEXT-AWARE OBJECT DETECTION Jie Lin, Yuan Fang, Kingsley Kuan, Gaurav Manek, Vijay Chandrasekhar 2017 IEEE International Conference on Image Processing
17 Sep 2017 SERC Institute for Infocomm Research A Multi-Block N-Ary Trie Structure for Exact R-Neighbour Search in Hamming Space Jie Lin, Yicheng Huang, Lingyu Duan, Zhe Wang, Tiejun Huang, Vijay Chandrasekhar 2017 IEEE International Conference on Image Processing
17 Sep 2017 SERC Institute for Infocomm Research DEEP REGIONAL FEATURE POOLING FOR VIDEO MATCHING Jie Lin, Yan Bai, Yihang Lou, Shiqi Wang, Lingyu Duan, Tiejun Huang, Vijay Chandrasekhar, Alex Kot 2017 IEEE International Conference on Image Processing
1 Sep 2017 SERC Institute for Infocomm Research HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval Jie Lin, Lingyu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex Kot, Wen Gao IEEE Transactions on Multimedia
1 Sep 2017 SERC Institute for Infocomm Research VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar Conference and Labs of the Evaluation Forum (CLEF) 2017
1 Aug 2017 SERC Institute for Infocomm Research Object Detection Meets Knowledge Graphs Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar IJCAI
6 Jun 2017 SERC Institute for Infocomm Research Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval Lingyu Duan, Vijay Chandrasekhar, Tomaso Poggio, Olivier Morere, Jie Lin, Antoine Veillard Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval (ICMR)
6 Jun 2017 SERC Institute for Infocomm Research DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right Jie Lin, Olivier Morere, Antoine Veillard, Lingyu Duan, Hanlin Goh, Vijay Chandrasekhar Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval (ICMR)
4 Apr 2017 SERC Institute for Infocomm Research Compression of Deep Neural Networks for Image Instance Retrieval Jie Lin, Qianli Liao, Antoine Veillard, Lingyu Duan, Tomaso Poggio, Vijay Chandrasekhar, Olivier Morere 2017 Data Compression Conference (DCC)
4 Apr 2017 SERC Institute for Infocomm Research Compact Deep Invariant Descriptors for Video Retrieval Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Lingyu Duan, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Alex Kot 2017 Data Compression Conference (DCC)
29 Mar 2017 SERC Institute for Infocomm Research Group Invariant Deep Representations for Image Instance Retrieval Olivier Morere, Antoine Veillard, Lin Jie, Julie Petta, Vijay Chandrasekhar, Tomaso Poggio The AAAI 2017 Spring Symposium on Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
19 Aug 2016 SERC Institute for Infocomm Research Co-sparsity Regularized Deep Hashing for Image Instance Retrieval Jie Lin, Olivier Morere, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh 2016 IEEE International Conference on Image Processing (ICIP)