Vijay Chandrasekhar

According to our database, Vijay Chandrasekhar authored at least 119 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Classify and generate: Using classification latent space representations for image generations.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi

Neurocomputing, 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Mixed Membership Generative Adversarial Networks.

Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization.

Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ECCV 2022, 2022

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

IEEE Trans. Inf. Forensics Secur., 2021

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, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar

IEEE Trans. Emerg. Top. Comput., 2021

A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition.

Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar

CoRR, 2021

Rate-Distortion Optimized Coding for Efficient CNN Compression.

Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 31st Data Compression Conference, 2021

2020

Holistic Multi-Modal Memory Network for Movie Question Answering.

Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar

IEEE Trans. Image Process., 2020

Learning to Prune Deep Neural Networks via Reinforcement Learning.

Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin

CoRR, 2020

Classification Representations Can be Reused for Downstream Generations.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi

CoRR, 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, Jie Lin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Empirical Analysis Of Overfitting And Mode Drop In Gan Training.

Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Codebook-Free Compact Descriptor for Scalable Visual Search.

Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan

IEEE Trans. Multim., 2019

Compact Descriptors for Video Analysis: The Emerging MPEG Standard.

Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot

IEEE Multim., 2019

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions.

Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

CoRR, 2019

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.

Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung

CoRR, 2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks.

Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar

CoRR, 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

Proceedings of the 32nd IEEE International System-on-Chip Conference, 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, Pavitra Krishnaswamy, Chuan-Sheng Foo

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 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

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 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, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Semi-Supervised Audio Classification with Consistency-Based Regularization.

Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

The Unusual Effectiveness of Averaging in GAN Training.

Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

Proceedings of the 7th International Conference on Learning Representations, 2019

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.

Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

Proceedings of the 7th International Conference on Learning Representations, 2019

Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks.

Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search.

Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.

Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar

Proceedings of the Data Compression Conference, 2019

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.

Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress.

Arko Dutt, Govind Narasimman, Lin Jie, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018

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, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar

IACR Cryptol. ePrint Arch., 2018

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

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

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

Manifold regularization with GANs for semi-supervised learning.

Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar

CoRR, 2018

Mirror descent in saddle-point problems: Going the extra (gradient) mile.

Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

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

Online Deep Learning: Growing RBM on the fly.

Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar

CoRR, 2018

Efficient GAN-Based Anomaly Detection.

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

CoRR, 2018

Deep Adaptive Temporal Pooling for Activity Recognition.

Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.

Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DehazeGAN: When Image Dehazing Meets Differential Programming.

Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised Learning With GANs: Revisiting Manifold Regularization.

Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar

Proceedings of the 6th International Conference on Learning Representations, 2018

Gated Square-Root Pooling for Image Instance Retrieval.

Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Adversarially Learned Anomaly Detection.

Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar

Proceedings of the IEEE International Conference on Data Mining, 2018

Hardware-Aware Softmax Approximation for Deep Neural Networks.

Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval.

Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao

IEEE Trans. Multim., 2017

A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation.

Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa

IEEE Trans. Cybern., 2017

Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors.

Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin

Signal Process. Image Commun., 2017

3DHoPD: A Fast Low-Dimensional 3-D Descriptor.

Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu

IEEE Robotics Autom. Lett., 2017

End-to-End Video Classification with Knowledge Graphs.

Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar

CoRR, 2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.

Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Fang Yuan, Kim Seokhwan, Nancy F. Chen, Luis Fernando D'Haro, Anh Tuan Luu, Hongyuan Zhu, Zeng Zeng, Ngai-Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar

CoRR, 2017

Pruning Convolutional Neural Networks for Image Instance Retrieval.

Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio

CoRR, 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, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar

CoRR, 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, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar

Proceedings of the 13th NTCIR Conference, 2017

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

Proceedings of the 13th NTCIR Conference, 2017

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.

Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right.

Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Object Detection Meets Knowledge Graphs.

Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Region average pooling for context-aware object detection.

Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space.

Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep regional feature pooling for video matching.

Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compact Deep Invariant Descriptors for Video Retrieval.

Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao

Proceedings of the 2017 Data Compression Conference, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.

Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio

Proceedings of the 2017 Data Compression Conference, 2017

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

Proceedings of the Working Notes of CLEF 2017, 2017

Group Invariant Deep Representations for Image Instance Retrieval.

Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Overview of the MPEG-CDVS Standard.

Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao

IEEE Trans. Image Process., 2016

A practical guide to CNNs and Fisher Vectors for image instance retrieval.

Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard

Signal Process., 2016

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.

Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar

CoRR, 2016

Egocentric activity recognition with multimodal fisher vector.

Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing.

Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard

Proceedings of the 2016 Data Compression Conference, 2016

Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition.

Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

DeepHash: Getting Regularization, Depth and Fine-Tuning Right.

Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh

CoRR, 2015

Multi-sensor Self-Quantification of Presentations.

Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Mohan S. Kankanhalli

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Co-regularized deep representations for video summarization.

Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Whole space subclass discriminant analysis for face recognition.

Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim

Proceedings of the 2015 IEEE International Conference on Image Processing, 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, Ernest Valveny

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Compact Global Descriptors for Visual Search.

Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh

Proceedings of the 2015 Data Compression Conference, 2015

Selective aggregated descriptors for robust mobile image retrieval.

Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Interframe Coding of Feature Descriptors for Mobile Augmented Reality.

Mina Makar, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Bernd Girod

IEEE Trans. Image Process., 2014

Recovering Social Interaction Spatial Structure from Multiple First-Person Views.

Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, Mohan S. Kankanhalli

Proceedings of the 3rd International Workshop on Socially-Aware Multimedia, 2014

Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data.

Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Efficient video search using image queries.

André Araújo, Mina Makar, Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Huizhong Chen, Roland Angst, Bernd Girod

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Feature Matching Performance of Compact Descriptors for Visual Search.

Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Mina Makar, Bernd Girod

Proceedings of the Data Compression Conference, 2014

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Activity Recognition in Egocentric Life-Logging Videos.

Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

A Wearable Face Recognition System on Google Glass for Assisting Social Interactions.

Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform.

Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod

IEEE Trans. Image Process., 2013

Rotation-invariant fast features for large-scale recognition and real-time tracking.

Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod

Signal Process. Image Commun., 2013

Residual enhanced visual vector as a compact signature for mobile visual search.

David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Signal Process., 2013

Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality.

Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod

Int. J. Semantic Comput., 2013

2012

Compressed Histogram of Gradients: A Low-Bitrate Descriptor.

Vijay Chandrasekhar, 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 Mobile Augmented Reality.

Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod

Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

Gradient preserving quantization.

Mina Makar, Haricharan Lakshman, Vijay Chandrasekhar, Bernd Girod

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Mobile Visual Search.

Bernd Girod, Vijay Chandrasekhar, David M. Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy A. Reznik, Gabriel Takacs, Sam S. Tsai, Ramakrishna Vedantham

IEEE Signal Process. Mag., 2011

Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard.

Bernd Girod, Vijay Chandrasekhar, Radek Grzeszczuk, Yuriy A. Reznik

IEEE Multim., 2011

The stanford mobile visual search data set.

Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Ngai-Man Cheung, Huizhong Chen, Gabriel Takacs, Yuriy A. Reznik, Ramakrishna Vedantham, Radek Grzeszczuk, Jeff Bach, Bernd Girod

Proceedings of the Second Annual ACM SIGMM Conference on Multimedia Systems, 2011

Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications.

Vijay Chandrasekhar, Matt Sharifi, David A. Ross

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Compressing Feature Sets with Digital Search Trees.

Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Automatic Language Identification in music videos with low level audio and visual features.

Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross

Proceedings of the IEEE International Conference on Acoustics, 2011

Residual Enhanced Visual Vectors for on-device image matching.

David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Huizhong Chen, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Mobile product recognition.

Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Ngai-Man Cheung, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Restoration of out-of-focus lecture video by automatic slide matching.

Ngai-Man Cheung, David M. Chen, Vijay Chandrasekhar, Sam S. Tsai, Gabriel Takacs, Sherif A. Halawa, Bernd Girod

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Fast geometric re-ranking for image-based retrieval.

Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Proceedings of the International Conference on Image Processing, 2010

Dynamic selection of a feature-rich query frame for mobile video retrieval.

David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Proceedings of the International Conference on Image Processing, 2010

Comparison of local feature descriptors for mobile visual search.

Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabriel Takacs, Sam S. Tsai, Ngai-Man Cheung, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod

Proceedings of the International Conference on Image Processing, 2010

Inverted Index Compression for Scalable Image Matching.

David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod

Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features.

Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors.

Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Location coding for mobile image retrieval.

Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Jatinder Pal Singh, Bernd Girod

Proceedings of the 5th International Conference on Mobile Multimedia Communications, 2009

Low-rate image retrieval with tree histogram coding.

Vijay Chandrasekhar, David M. Chen, Zhi Li, Gabriel Takacs, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod

Proceedings of the 5th International Conference on Mobile Multimedia Communications, 2009

Tree Histogram Coding for Mobile Image Matching.

David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod

Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

CHoG: Compressed histogram of gradients A low bit-rate feature descriptor.

Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Color restoration for objects of interest using robust image features.

David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod

Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Outdoors augmented reality on mobile phone using loxel-based visual feature organization.

Gabriel Takacs, Vijay Chandrasekhar, Natasha Gelfand, Yingen Xiong, Wei-Chao Chen, Thanos Bismpigiannis, Radek Grzeszczuk, Kari Pulli, Bernd Girod

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007

Experimental Analysis of Area Localization Scheme for Sensor Networks.

Vijay Chandrasekhar, Zhi Ang Eu, Winston Khoon Guan Seah, A. Pillai Venkatesh

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors.

Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, Radek Grzeszczuk

Proceedings of the Sixth IEEE/ACM International Symposium on Mixed and Augmented Reality, 2007

2006

Localization in underwater sensor networks: survey and challenges.

Vijay Chandrasekhar, Winston Khoon Guan Seah, Yoo Sang Choo, How Voon Ee

Proceedings of the First Workshop on Underwater Networks, WUWNET 2006, Los Angeles, CA, 2006

Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks.

Jeffrey H. S. Tay, Vijay Ramaseshan Chandrasekhar, Winston Khoon Guan Seah

Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006