V. Chandrasekhar

Most-cited papers

ICDAR 2015 competition on Robust Reading
Dimosthenis Karatzas, Lluis Gomez-Bigorda, A. Nicolaou, Suman K. Ghosh +9 more
2015IEEE International Conference on Document Analysis and Recognition1,615 citations
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Efficient GAN-Based Anomaly Detection
Houssam Zenati, Chuan-Sheng Foo, Bruno Lecouat, Gaurav Manek +1 more
2018arXiv.org611 citations
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Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat +1 more
2018Industrial Conference on Data Mining469 citations
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Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P. Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo +2 more
2018International Conference on Learning Representations359 citations
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Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
J. Correa-Baena, K. Hippalgaonkar, J. van Duren, S. Jaffer +5 more
2018Joule321 citations Open access
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A*3D Dataset: Towards Autonomous Driving in Challenging Environments
Quang-Hieu Pham, P. Sevestre, R. Pahwa, Huijing Zhan +5 more
2019IEEE International Conference on Robotics and Automation190 citations Open access
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The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap +2 more
2018International Conference on Learning Representations186 citations
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DehazeGAN: When Image Dehazing Meets Differential Programming
Hongyuan Zhu, Xi Peng, V. Chandrasekhar, Liyuan Li +1 more
2018International Joint Conference on Artificial Intelligence147 citations Open access
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Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs
Ahmad Al Badawi, Chao Jin, Jie Lin, Chan-Fook Mun +5 more
2021IEEE Transactions on Emerging Topics in Computing145 citations
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Overview of the MPEG-CDVS Standard
Ling-Yu Duan, V. Chandrasekhar, Jie Chen, Jie Lin +4 more
2016IEEE Transactions on Image Processing142 citations
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Object Detection Meets Knowledge Graphs
Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan +1 more
2017International Joint Conference on Artificial Intelligence126 citations Open access
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Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen +6 more
2017arXiv.org100 citations
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Compact Descriptors for Video Analysis: The Emerging MPEG Standard
Ling-Yu Duan, Yihang Lou, Yan Bai, Tie-Jun Huang +5 more
2017IEEE Multimedia89 citations Open access
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A practical guide to CNNs and Fisher Vectors for image instance retrieval
V. Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh +1 more
2015Signal Processing87 citations Open access
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Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition
Si-Bo Song, V. Chandrasekhar, Bappaditya Mandal, Liyuan Li +4 more
20162016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)79 citations
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The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan-Fook Mun +5 more
2018IACR Cryptology ePrint Archive64 citations
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Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions
Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang +2 more
2018Knowledge Discovery and Data Mining62 citations Open access
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TrackNet - A Deep Learning Based Fault Detection for Railway Track Inspection
Ashish James, Jie Wang, Xu-Lei Yang, C. Ye +5 more
20182018 International Conference on Intelligent Rail Transportation (ICIRT)51 citations
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DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption
S. Meftah, B. Tan, Chan-Fook Mun, Khin Mi Mi Aung +2 more
2021IEEE Transactions on Information Forensics and Security48 citations
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Egocentric activity recognition with multimodal fisher vector
Si-Bo Song, Ngai-Man Cheung, V. Chandrasekhar, Bappaditya Mandal +1 more
2016IEEE International Conference on Acoustics, Speech, and Signal Processing47 citations Open access
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A Wearable Face Recognition System on Google Glass for Assisting Social Interactions
Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, V. Chandrasekhar +2 more
2014ACCV Workshops47 citations
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HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval
Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai +5 more
2017IEEE transactions on multimedia46 citations
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Activity Recognition in Egocentric Life-Logging Videos
Si-Bo Song, V. Chandrasekhar, Ngai-Man Cheung, Sanath Narayan +2 more
2014ACCV Workshops43 citations
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Interframe Coding of Feature Descriptors for Mobile Augmented Reality
Mina Makar, V. Chandrasekhar, Sam S. Tsai, David M. Chen +1 more
2014IEEE Transactions on Image Processing42 citations
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Empirical Analysis Of Overfitting And Mode Drop In Gan Training
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap +1 more
2020International Conference on Information Photonics39 citations Open access
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Graph Convolutional Neural Networks for Polymers Property Prediction
Ming-Gang Zeng, J. Kumar, Zeng Zeng, R. Savitha +2 more
2018arXiv.org39 citations
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Towards Practical Unsupervised Anomaly Detection on Retinal Images
Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain +8 more
2019DART/MIL3ID@MICCAI38 citations
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Compact Deep Invariant Descriptors for Video Retrieval
Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang +6 more
2017Data Compression Conference38 citations
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DeepHash: Getting Regularization, Depth and Fine-Tuning Right
Jie Lin, Olivier Morère, V. Chandrasekhar, A. Veillard +1 more
2015arXiv.org35 citations
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Hardware-Aware Softmax Approximation for Deep Neural Networks
Xue Geng, Jie Lin, Bin Zhao, Anmin Kong +2 more
2018Asian Conference on Computer Vision34 citations
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Mirror descent in saddle-point problems: Going the extra (gradient) mile
P. Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo +2 more
2018arXiv.org34 citations
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3DHoPD: A Fast Low-Dimensional 3-D Descriptor
Sai Manoj Prakhya, Jie Lin, V. Chandrasekhar, Wei-Si Lin +1 more
2017IEEE Robotics and Automation Letters34 citations
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Multi-sensor Self-Quantification of Presentations
Tian Gan, Yong-Kang Wong, Bappaditya Mandal, V. Chandrasekhar +1 more
2015ACM Multimedia34 citations
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Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, V. Chandrasekhar
2018International Conference on Learning Representations33 citations
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A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation
Liyuan Li, Qian-Li Xu, V. Chandrasekhar, Joo-Hwee Lim +2 more
2017IEEE Transactions on Cybernetics30 citations
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Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan +6 more
2018arXiv.org28 citations
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Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks
Wang Zhe, Jie Lin, V. Chandrasekhar, B. Girod
2019International Conference on Information Photonics25 citations
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CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Chao Jin, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin +8 more
2019arXiv.org25 citations
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Compression of Deep Neural Networks for Image Instance Retrieval
V. Chandrasekhar, Jie Lin, Q. Liao, Olivier Morère +3 more
2017Data Compression Conference25 citations
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Efficient video search using image queries
A. Araújo, Mina Makar, V. Chandrasekhar, David M. Chen +4 more
2014International Conference on Information Photonics25 citations
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Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation
V. Chandrasekhar, Wu Min, Xiao Li, Cheston Tan +3 more
20142014 IEEE Conference on Computer Vision and Pattern Recognition Workshops24 citations
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MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Li-Le Cai, Bin Zhao, Zhe Wang, Jie Lin +3 more
2019Computer Vision and Pattern Recognition23 citations
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DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right
Jie Lin, Olivier Morère, A. Veillard, Ling-Yu Duan +2 more
2017International Conference on Multimedia Retrieval23 citations
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FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
R. Pahwa, V. Chandrasekhar, Chao Jin, Jestine Paul +6 more
2019International Conference on Intelligent Transportation Systems22 citations Open access
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Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek +12 more
2017arXiv.org22 citations
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Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features
Cheston Tan, Hanlin Goh, V. Chandrasekhar, Liyuan Li +1 more
20142014 IEEE Conference on Computer Vision and Pattern Recognition Workshops22 citations
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Rotation-invariant fast features for large-scale recognition and real-time tracking
Gabriel Takacs, V. Chandrasekhar, Sam S. Tsai, David M. Chen +2 more
2013Signal processing. Image communication22 citations
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Region average pooling for context-aware object detection
Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang +1 more
2017International Conference on Information Photonics21 citations Open access
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VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization
Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim +2 more
2017Conference and Labs of the Evaluation Forum21 citations
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Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing
Jie Lin, Olivier Morère, Julie Petta, V. Chandrasekhar +1 more
2015Data Compression Conference21 citations Open access
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