Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks. - Jeffrey H. S. Tay; Vijay Ramaseshan Chandrasekhar; Winston Khoon Guan Seah (MDM, 2006)

Localization in underwater sensor networks: survey and challenges. - Vijay Chandrasekhar 001; Winston Khoon Guan Seah; Yoo Sang Choo; How Voon Ee (Underwater Networks, 2006)

Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors. - Gabriel Takacs; Vijay Chandrasekhar 001; Bernd Girod; Radek Grzeszczuk (ISMAR, 2007)

Experimental Analysis of Area Localization Scheme for Sensor Networks. - Vijay Chandrasekhar 001; Zhi Ang Eu; Winston Khoon Guan Seah; A. Pillai Venkatesh (WCNC, 2007)

Outdoors augmented reality on mobile phone using loxel-based visual feature organization. - Gabriel Takacs; Vijay Chandrasekhar 001; Natasha Gelfand; Yingen Xiong; Wei-Chao Chen; Thanos Bismpigiannis; Radek Grzeszczuk; Kari Pulli; Bernd Girod (Multimedia Information Retrieval, 2008)

Color restoration for objects of interest using robust image features. - David M. Chen; Vijay Chandrasekhar 001; Gabriel Takacs; Jatinder Pal Singh; Bernd Girod (MMSP, 2008)

CHoG: Compressed histogram of gradients A low bit-rate feature descriptor. - Vijay Chandrasekhar 001; Gabriel Takacs; David M. Chen; Sam S. Tsai; Radek Grzeszczuk; Bernd Girod (CVPR, 2009)

Tree Histogram Coding for Mobile Image Matching. - David M. Chen; Sam S. Tsai; Vijay Chandrasekhar 001; Gabriel Takacs; Jatinder Pal Singh; Bernd Girod (DCC, 2009)

Low-rate image retrieval with tree histogram coding. - Vijay Chandrasekhar 001; David M. Chen; Zhi Li 001; Gabriel Takacs; Sam S. Tsai; Radek Grzeszczuk; Bernd Girod (MobiMedia, 2009)

Location coding for mobile image retrieval. - Sam S. Tsai; David M. Chen; Gabriel Takacs; Vijay Chandrasekhar 001; Jatinder Pal Singh; Bernd Girod (MobiMedia, 2009)

Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors. - Vijay Chandrasekhar 001; Yuriy A. Reznik; Gabriel Takacs; David M. Chen; Sam S. Tsai; Radek Grzeszczuk; Bernd Girod (CVPR Workshops, 2010)

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features. - Gabriel Takacs; Vijay Chandrasekhar 001; Sam S. Tsai; David M. Chen; Radek Grzeszczuk; Bernd Girod (CVPR, 2010)

Inverted Index Compression for Scalable Image Matching. - David M. Chen; Sam S. Tsai; Vijay Chandrasekhar 001; Gabriel Takacs; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (DCC, 2010)

Comparison of local feature descriptors for mobile visual search. - Vijay Chandrasekhar 001; David M. Chen; Andy Lin; Gabriel Takacs; Sam S. Tsai; Ngai-Man Cheung; Yuriy A. Reznik; Radek Grzeszczuk; Bernd Girod (ICIP, 2010)

Dynamic selection of a feature-rich query frame for mobile video retrieval. - David M. Chen; Ngai-Man Cheung; Sam S. Tsai; Vijay Chandrasekhar 001; Gabriel Takacs; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (ICIP, 2010)

Fast geometric re-ranking for image-based retrieval. - Sam S. Tsai; David M. Chen; Gabriel Takacs; Vijay Chandrasekhar 001; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (ICIP, 2010)

Restoration of out-of-focus lecture video by automatic slide matching. - Ngai-Man Cheung; David M. Chen; Vijay Chandrasekhar 001; Sam S. Tsai; Gabriel Takacs; Sherif A. Halawa; Bernd Girod (ACM Multimedia, 2010)

Mobile product recognition. - Sam S. Tsai; David M. Chen; Vijay Chandrasekhar 001; Gabriel Takacs; Ngai-Man Cheung; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (ACM Multimedia, 2010)

Residual Enhanced Visual Vectors for on-device image matching. - David M. Chen; Sam S. Tsai; Vijay Chandrasekhar 001; Gabriel Takacs; Huizhong Chen; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (ACSCC, 2011)

Automatic Language Identification in music videos with low level audio and visual features. - Vijay Chandrasekhar 001; Mehmet Emre Sargin; David A. Ross (ICASSP, 2011)

Compressing Feature Sets with Digital Search Trees. - Vijay Chandrasekhar 001; Yuriy A. Reznik; Gabriel Takacs; David M. Chen; Sam S. Tsai; Radek Grzeszczuk; Bernd Girod (ICCV Workshops, 2011)

Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. - Vijay Chandrasekhar 001; Matt Sharifi; David A. Ross (ISMIR, 2011)

The stanford mobile visual search data set. - Vijay Chandrasekhar 001; David M. Chen; Sam S. Tsai; Ngai-Man Cheung; Huizhong Chen; Gabriel Takacs; Yuriy A. Reznik; Ramakrishna Vedantham; Radek Grzeszczuk; Jeff Bach; Bernd Girod (MMSys, 2011)

Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard. - Bernd Girod; Vijay Chandrasekhar 001; Radek Grzeszczuk; Yuriy A. Reznik (IEEE Multim., 2011)

Mobile Visual Search. - Bernd Girod; Vijay Chandrasekhar 001; David M. Chen; Ngai-Man Cheung; Radek Grzeszczuk; Yuriy A. Reznik; Gabriel Takacs; Sam S. Tsai; Ramakrishna Vedantham (IEEE Signal Process. Mag., 2011)

Gradient preserving quantization. - Mina Makar; Haricharan Lakshman; Vijay Chandrasekhar 001; Bernd Girod (ICIP, 2012)

Interframe Coding of Canonical Patches for Mobile Augmented Reality. - Mina Makar; Sam S. Tsai; Vijay Chandrasekhar 001; David M. Chen; Bernd Girod (ISM, 2012)

Compressed Histogram of Gradients: A Low-Bitrate Descriptor. - Vijay Chandrasekhar 001; Gabriel Takacs; David M. Chen; Sam S. Tsai; Yuriy A. Reznik; Radek Grzeszczuk; Bernd Girod (Int. J. Comput. Vis., 2012)

Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality. - Mina Makar; Sam S. Tsai; Vijay Chandrasekhar 001; David M. Chen; Bernd Girod (Int. J. Semantic Comput., 2013)

Residual enhanced visual vector as a compact signature for mobile visual search. - David M. Chen; Sam S. Tsai; Vijay Chandrasekhar 001; Gabriel Takacs; Ramakrishna Vedantham; Radek Grzeszczuk; Bernd Girod (Signal Process., 2013)

Rotation-invariant fast features for large-scale recognition and real-time tracking. - Gabriel Takacs; Vijay Chandrasekhar 001; Sam S. Tsai; David M. Chen; Radek Grzeszczuk; Bernd Girod (Signal Process. Image Commun., 2013)

Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform. - Gabriel Takacs; Vijay Chandrasekhar 001; Sam S. Tsai; David M. Chen; Radek Grzeszczuk; Bernd Girod (IEEE Trans. Image Process., 2013)

A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. - Bappaditya Mandal; Shue-Ching Chia; Liyuan Li; Vijay Chandrasekhar 001; Cheston Tan; Joo-Hwee Lim (ACCV Workshops (3), 2014)

Activity Recognition in Egocentric Life-Logging Videos. - Sibo Song; Vijay Chandrasekhar 001; Ngai-Man Cheung; Sanath Narayan; Liyuan Li; Joo-Hwee Lim (ACCV Workshops (3), 2014)

Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. - Cheston Tan; Hanlin Goh; Vijay Chandrasekhar 001; Liyuan Li; Joo-Hwee Lim (CVPR Workshops, 2014)

Feature Matching Performance of Compact Descriptors for Visual Search. - Vijay Chandrasekhar 001; Gabriel Takacs; David M. Chen; Sam S. Tsai; Mina Makar; Bernd Girod (DCC, 2014)

Efficient video search using image queries. - André Araújo 001; Mina Makar; Vijay Chandrasekhar 001; David M. Chen; Sam S. Tsai; Huizhong Chen; Roland Angst; Bernd Girod (ICIP, 2014)

Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. - Vijay Chandrasekhar 001; Cheston Tan; Wu Min; Liyuan Li; Xiaoli Li 001; Joo-Hwee Lim (ICPR, 2014)

Recovering Social Interaction Spatial Structure from Multiple First-Person Views. - Tian Gan; Yongkang Wong; Bappaditya Mandal; Vijay Chandrasekhar 001; Liyuan Li; Joo-Hwee Lim; Mohan S. Kankanhalli (SAM@MM, 2014)

Interframe Coding of Feature Descriptors for Mobile Augmented Reality. - Mina Makar; Vijay Chandrasekhar 001; Sam S. Tsai; David M. Chen; Bernd Girod (IEEE Trans. Image Process., 2014)

Selective aggregated descriptors for robust mobile image retrieval. - Jie Lin 001; Zhe Wang 019; Yitong Wang; Vijay Chandrasekhar 001; Liyuan Li (APSIPA, 2015)

Compact Global Descriptors for Visual Search. - Vijay Chandrasekhar 001; Jie Lin 001; Olivier Morère; Antoine Veillard; Hanlin Goh (DCC, 2015)

ICDAR 2015 competition on Robust Reading. - Dimosthenis Karatzas; Lluis Gomez-Bigorda; Anguelos Nicolaou; Suman K. Ghosh; Andrew D. Bagdanov; Masakazu Iwamura; Jiri Matas; Lukás Neumann; Vijay Ramaseshan Chandrasekhar; Shijian Lu; Faisal Shafait; Seiichi Uchida; et al. (ICDAR, 2015)

Whole space subclass discriminant analysis for face recognition. - Bappaditya Mandal; Liyuan Li; Vijay Chandrasekhar 001; Joo-Hwee Lim (ICIP, 2015)

Co-regularized deep representations for video summarization. - Olivier Morère; Hanlin Goh; Antoine Veillard; Vijay Chandrasekhar 001; Jie Lin 001 (ICIP, 2015)

Multi-sensor Self-Quantification of Presentations. - Tian Gan; Yongkang Wong; Bappaditya Mandal; Vijay Chandrasekhar 001; Mohan S. Kankanhalli (ACM Multimedia, 2015)

DeepHash: Getting Regularization, Depth and Fine-Tuning Right. - Jie Lin 001; Olivier Morère; Vijay Chandrasekhar 001; Antoine Veillard; Hanlin Goh (CoRR, 2015)

Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. - Sibo Song; Vijay Chandrasekhar 001; Bappaditya Mandal; Liyuan Li; Joo-Hwee Lim; Giduthuri Sateesh Babu; Phyo Phyo San; Ngai-Man Cheung (CVPR Workshops, 2016)

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. - Jie Lin 001; Olivier Morère; Julie Petta; Vijay Chandrasekhar 001; Antoine Veillard (DCC, 2016)

Egocentric activity recognition with multimodal fisher vector. - Sibo Song; Ngai-Man Cheung; Vijay Chandrasekhar 001; Bappaditya Mandal; Jie Lin 001 (ICASSP, 2016)

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. - Olivier Morère; Jie Lin 001; Antoine Veillard; Vijay Chandrasekhar 001 (CoRR, 2016)

A practical guide to CNNs and Fisher Vectors for image instance retrieval. - Vijay Chandrasekhar 001; Jie Lin 001; Olivier Morère; Hanlin Goh; Antoine Veillard (Signal Process., 2016)

Overview of the MPEG-CDVS Standard. - Ling-Yu Duan; Vijay Chandrasekhar 001; Jie Chen 006; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001; Bernd Girod; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Group Invariant Deep Representations for Image Instance Retrieval. - Olivier Morère; Antoine Veillard; Jie Lin 001; Julie Petta; Vijay Chandrasekhar 001; Tomaso A. Poggio (AAAI Spring Symposia, 2017)

VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. - Ana Garcia del Molino; Bappaditya Mandal; Jie Lin 001; Joo-Hwee Lim; Vigneshwaran Subbaraju; Vijay Chandrasekhar 001 (CLEF (Working Notes), 2017)

Compression of Deep Neural Networks for Image Instance Retrieval. - Vijay Chandrasekhar 001; Jie Lin 001; Qianli Liao; Olivier Morère; Antoine Veillard; Ling-Yu Duan; Tomaso A. Poggio (DCC, 2017)

Compact Deep Invariant Descriptors for Video Retrieval. - Yihang Lou; Yan Bai; Jie Lin 001; Shiqi Wang 001; Jie Chen 006; Vijay Chandrasekhar 001; Ling-Yu Duan; Tiejun Huang 001; Alex ChiChung Kot; Wen Gao 001 (DCC, 2017)

Deep regional feature pooling for video matching. - Yan Bai; Jie Lin 001; Vijay Chandrasekhar 001; Yihang Lou; Shiqi Wang 001; Ling-Yu Duan; Tiejun Huang 001; Alex C. Kot (ICIP, 2017)

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. - Yicheng Huang; Ling-Yu Duan; Zhe Wang 019; Jie Lin 001; Vijay Chandrasekhar 001; Tiejun Huang 001 (ICIP, 2017)

Region average pooling for context-aware object detection. - Kingsley Kuan; Gaurav Manek; Jie Lin 001; Yuan Fang 001; Vijay Chandrasekhar 001 (ICIP, 2017)

Object Detection Meets Knowledge Graphs. - Yuan Fang 001; Kingsley Kuan; Jie Lin 001; Cheston Tan; Vijay Chandrasekhar 001 (IJCAI, 2017)

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. - Jie Lin 001; Olivier Morère; Antoine Veillard; Ling-Yu Duan; Hanlin Goh; Vijay Chandrasekhar 001 (ICMR, 2017)

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. - Olivier Morère; Jie Lin 001; Antoine Veillard; Ling-Yu Duan; Vijay Chandrasekhar 001; Tomaso A. Poggio (ICMR, 2017)

VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. - Jie Lin 001; Ana Garcia del Molino; Qianli Xu; Fen Fang; Vigneshwaran Subbaraju; Joo-Hwee Lim; Liyuan Li; Vijay Chandrasekhar 001 (NTCIR, 2017)

Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. - Qianli Xu; Vigneshwaran Subbaraju; Ana Garcia del Molino; Jie Lin 001; Fen Fang; Joo-Hwee Lim; Liyuan Li; Vijay Chandrasekhar 001 (NTCIR, 2017)

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. - Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Huiling Chen; Jie Lin 001; Babar Nazir; Cen Chen; Tse Chiang Howe; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Pruning Convolutional Neural Networks for Image Instance Retrieval. - Gaurav Manek; Jie Lin 001; Vijay Chandrasekhar 001; Lingyu Duan; Sateesh Giduthuri; Xiaoli Li 001; Tomaso A. Poggio (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu 002; Zeng Zeng; et al. (CoRR, 2017)

End-to-End Video Classification with Knowledge Graphs. - Fang Yuan; Zhe Wang 019; Jie Lin 001; Luis Fernando D'Haro; Jung-Jae Kim 001; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

3DHoPD: A Fast Low-Dimensional 3-D Descriptor. - Sai Manoj Prakhya; Jie Lin 001; Vijay Chandrasekhar 001; Weisi Lin; Bingbing Liu (IEEE Robotics Autom. Lett., 2017)

Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. - Sai Manoj Prakhya; Weisi Lin; Vijay Chandrasekhar 001; Bingbing Liu; Jie Lin 001 (Signal Process. Image Commun., 2017)

A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. - Liyuan Li; Qianli Xu; Vijay Chandrasekhar 001; Joo-Hwee Lim; Cheston Tan; Michal Mukawa (IEEE Trans. Cybern., 2017)

HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. - Jie Lin 001; Ling-Yu Duan; Shiqi Wang 001; Yan Bai; Yihang Lou; Vijay Chandrasekhar 001; Tiejun Huang 001; Alex ChiChung Kot; Wen Gao 001 (IEEE Trans. Multim., 2017)

Hardware-Aware Softmax Approximation for Deep Neural Networks. - Xue Geng; Jie Lin 001; Bin Zhao; Anmin Kong; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ACCV (4), 2018)

Adversarially Learned Anomaly Detection. - Houssam Zenati; Manon Romain; Chuan-Sheng Foo; Bruno Lecouat; Vijay Chandrasekhar 001 (ICDM, 2018)

Gated Square-Root Pooling for Image Instance Retrieval. - Ziqian Chen; Jie Lin 001; Vijay Chandrasekhar 001; Ling-Yu Duan (ICIP, 2018)

Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. - Bruno Lecouat; Chuan Sheng Foo; Houssam Zenati; Vijay Ramaseshan Chandrasekhar (ICLR (Workshop), 2018)

DehazeGAN: When Image Dehazing Meets Differential Programming. - Hongyuan Zhu 002; Xi Peng 001; Vijay Chandrasekhar 001; Liyuan Li; Joo-Hwee Lim (IJCAI, 2018)

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. - Xulei Yang; Zeng Zeng; Sin G. Teo; Li Wang 057; Vijay Chandrasekhar 001; Steven C. H. Hoi (KDD, 2018)

Deep Adaptive Temporal Pooling for Activity Recognition. - Sibo Song; Ngai-Man Cheung; Vijay Chandrasekhar 001; Bappaditya Mandal (ACM Multimedia, 2018)

Efficient GAN-Based Anomaly Detection. - Houssam Zenati; Chuan Sheng Foo; Bruno Lecouat; Gaurav Manek; Vijay Ramaseshan Chandrasekhar (CoRR, 2018)

Online Deep Learning: Growing RBM on the fly. - Savitha Ramasamy; Kanagasabai Rajaraman; Pavitra Krishnaswamy; Vijay Chandrasekhar 001 (CoRR, 2018)

Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. - Juan Pablo Correa-Baena; Kedar Hippalgaonkar; Jeroen van Duren; Shaffiq Jaffer; Vijay Ramaseshan Chandrasekhar; Vladan Stevanovic; Cyrus Wadia; Supratik Guha; Tonio Buonassisi (CoRR, 2018)

Mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Houssam Zenati; Bruno Lecouat; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (CoRR, 2018)

Manifold regularization with GANs for semi-supervised learning. - Bruno Lecouat; Chuan Sheng Foo; Houssam Zenati; Vijay Chandrasekhar 001 (CoRR, 2018)

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. - Léo Laugier; Daniil Bash; Jose Recatala; Hong Kuan Ng; Savitha Ramasamy; Chuan-Sheng Foo; Vijay Ramaseshan Chandrasekhar; Kedar Hippalgaonkar (CoRR, 2018)

Graph Convolutional Neural Networks for Polymers Property Prediction. - Minggang Zeng; Jatin Nitin Kumar; Zeng Zeng; Ramasamy Savitha; Vijay Ramaseshan Chandrasekhar; Kedar Hippalgaonkar (CoRR, 2018)

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Bruno Lecouat; Ken Chang; Chuan-Sheng Foo; Balagopal Unnikrishnan; James M. Brown 001; Houssam Zenati; Andrew Beers; Vijay Chandrasekhar 001; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy (CoRR, 2018)

The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. - Ahmad Al Badawi; Jin Chao; Jie Lin 001; Chan Fook Mun; Sim Jun Jie; Benjamin Hong Meng Tan; Xiao Nan; Khin Mi Mi Aung; Vijay Ramaseshan Chandrasekhar (IACR Cryptol. ePrint Arch., 2018)

EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress. - Arko Dutt; Govind Narasimman; Lin Jie; Vijay Ramaseshan Chandrasekhar; Mohamed M. Sabry (CODES+ISSS, 2019)

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. - Lile Cai; Bin Zhao; Zhe Wang 019; Jie Lin 001; Chuan Sheng Foo; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (CVPR, 2019)

Dataflow-Based Joint Quantization for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (DCC, 2019)

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. - Zhuo Chen 006; Jie Lin 001; Zhe Wang 019; Vijay Chandrasekhar 001; Weisi Lin (ICIP, 2019)

Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. - Wang Zhe; Jie Lin 001; Vijay Chandrasekhar 001; Bernd Girod (ICIP, 2019)

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Bruno Lecouat; Houssam Zenati; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (ICLR (Poster), 2019)

The Unusual Effectiveness of Averaging in GAN Training. - Yasin Yazici; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Georgios Piliouras; Vijay Chandrasekhar 001 (ICLR (Poster), 2019)

Semi-Supervised Audio Classification with Consistency-Based Regularization. - Kangkang Lu 001; Chuan-Sheng Foo; Kah Kuan Teh; Huy Dat Tran; Vijay Ramaseshan Chandrasekhar (INTERSPEECH, 2019)

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. - Lile Cai; Anne-Maelle Barneche; Arthur Herbout; Chuan Sheng Foo; Jie Lin 001; Vijay Ramaseshan Chandrasekhar; Mohamed M. Sabry Aly (ISLPED, 2019)

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. - Ramanpreet Singh Pahwa; Vijay Ramaseshan Chandrasekhar; Jin Chao; Jestine Paul; Yiqun Li; Ma Tin Lay Nwe; Shudong Xie; Ashish James; Arulmurugan Ambikapathi; Zeng Zeng (ITSC, 2019)

Towards Practical Unsupervised Anomaly Detection on Retinal Images. - Khalil Ouardini; Huijuan Yang; Balagopal Unnikrishnan; Manon Romain; Camille Garcin; Houssam Zenati; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Chandrasekhar 001; Pavitra Krishnaswamy; Chuan-Sheng Foo (DART/MIL3ID@MICCAI, 2019)

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). - Rahul Dutta; Salahuddin Raju; Ashish James; Leo John Chemmanda; Yong-Joon Jeon; Balagopal Unnikrishnan; Chuan Sheng Foo; Zeng Zeng; Kevin Tshun Chuan Chai; Vijay Ramaseshan Chandrasekhar (SoCC, 2019)

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (CoRR, 2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Jin Chao; Ahmad Al Badawi; Balagopal Unnikrishnan; Jie Lin 001; Chan Fook Mun; James M. Brown 001; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Ramaseshan Chandrasekhar; Pavitra Krishnaswamy; Khin Mi Mi Aung (CoRR, 2019)

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. - Yasin Yazici; Bruno Lecouat; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Georgios Piliouras; Vijay Chandrasekhar 001 (CoRR, 2019)

Compact Descriptors for Video Analysis: The Emerging MPEG Standard. - Ling-Yu Duan; Yihang Lou; Yan Bai; Tiejun Huang 001; Wen Gao 001; Vijay Chandrasekhar 001; Jie Lin 001; Shiqi Wang 001; Alex ChiChung Kot (IEEE Multim., 2019)

Codebook-Free Compact Descriptor for Scalable Visual Search. - Yuwei Wu 001; Feng Gao 014; Yicheng Huang; Jie Lin 001; Vijay Chandrasekhar 001; Junsong Yuan 001; Ling-Yu Duan (IEEE Trans. Multim., 2019)

Empirical Analysis Of Overfitting And Mode Drop In Gan Training. - Yasin Yazici; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Vijay Chandrasekhar 001 (ICIP, 2020)

A*3D Dataset: Towards Autonomous Driving in Challenging Environments. - Quang-Hieu Pham; Pierre Sevestre; Ramanpreet Singh Pahwa; Huijing Zhan; Chun Ho Pang; Yuda Chen; Armin Mustafa; Vijay Chandrasekhar 001; Jie Lin 001 (ICRA, 2020)

Classification Representations Can be Reused for Downstream Generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (CoRR, 2020)

Learning to Prune Deep Neural Networks via Reinforcement Learning. - Manas Gupta; Siddharth Aravindan; Aleksandra Kalisz; Vijay Chandrasekhar 001; Jie Lin 001 (CoRR, 2020)

Holistic Multi-Modal Memory Network for Movie Question Answering. - Anran Wang 001; Anh Tuan Luu; Chuan-Sheng Foo; Hongyuan Zhu 002; Yi Tay; Vijay Chandrasekhar 001 (IEEE Trans. Image Process., 2020)

Rate-Distortion Optimized Coding for Efficient CNN Compression. - Wang Zhe; Jie Lin 001; Mohamed M. Sabry Aly; Sean I. Young; Vijay Chandrasekhar 001; Bernd Girod (DCC, 2021)

A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. - Govind Narasimman; Kangkang Lu 001; Arun Raja; Chuan Sheng Foo; Mohamed M. Sabry Aly; Jie Lin 001; Vijay Chandrasekhar 001 (CoRR, 2021)

Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. - Ahmad Al Badawi; Chao Jin 002; Jie Lin 001; Chan Fook Mun; Sim Jun Jie; Benjamin Hong Meng Tan; Xiao Nan; Khin Mi Mi Aung; Vijay Ramaseshan Chandrasekhar (IEEE Trans. Emerg. Top. Comput., 2021)

DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption. - Souhail Meftah; Benjamin Hong Meng Tan; Chan Fook Mun; Khin Mi Mi Aung; Bharadwaj Veeravalli; Vijay Chandrasekhar 001 (IEEE Trans. Inf. Forensics Secur., 2021)

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. - Zhe Wang 019; Jie Lin 001; Xue Geng; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ECCV (12), 2022)

Mixed Membership Generative Adversarial Networks. - Yasin Yazici; Bruno Lecouat; Kim-Hui Yap; Stefan Winkler 001; Georgios Piliouras; Vijay Chandrasekhar 001; Chuan-Sheng Foo (ICIP, 2022)

Bayesian Deep Active Learning for Analog Circuit Performance Classification. - Lining Zhang; Salahuddin Raju; Ashish James; Rahul Dutta; Gregoire Fournier; Damien Lancry; Kevin Chai Tshun Chuan; Vijay Ramaseshan Chandrasekhar; Chuan Sheng Foo (ISCAS, 2022)

Classify and generate: Using classification latent space representations for image generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (Neurocomputing, 2022)