Vijay Chandrasekhar

115 papers A* 13A 1B 28C 2Misc 2Journal 46Unranked 23

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Classify and generate: Using classification latent space representations for image generations. Neurocomputing Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2022	B	`conf`	Mixed Membership Generative Adversarial Networks. ICIP Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo
2022	—	`conf`	RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2021	J	`jnl`	A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
2021	J	`jnl`	DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. Souhail Meftah, Benjamin Hong Meng Tan, Chan Fook Mun, Khin Mi Mi Aung, Bharadwaj Veeravalli, Vijay Chandrasekhar
2021	B	`conf`	Rate-Distortion Optimized Coding for Efficient CNN Compression. DCC Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
2020	A*	`conf`	A*3D Dataset: Towards Autonomous Driving in Challenging Environments. ICRA Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
2020	J	`jnl`	Classification Representations Can be Reused for Downstream Generations. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2020	B	`conf`	Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ICIP Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
2020	J	`jnl`	Empirical Analysis of Overfitting and Mode Drop in GAN Training. CoRR Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
2020	J	`jnl`	Holistic Multi-Modal Memory Network for Movie Question Answering. IEEE Trans. Image Process. Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar
2020	J	`jnl`	Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin
2019	J	`jnl`	A*3D Dataset: Towards Autonomous Driving in Challenging Environments. CoRR Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
2019	B	`conf`	Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin
2019	J	`jnl`	Codebook-Free Compact Descriptor for Scalable Visual Search. IEEE Trans. Multim. Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan
2019	J	`jnl`	Compact Descriptors for Video Analysis: The Emerging MPEG Standard. IEEE Multim. Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot
2019	B	`conf`	Dataflow-Based Joint Quantization for Deep Neural Networks. DCC Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	J	`jnl`	Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
2019	A*	`conf`	MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2019	—	`conf`	Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. ICLR (Poster) Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2019	B	`conf`	Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod
2019	—	`conf`	The Unusual Effectiveness of Averaging in GAN Training. ICLR (Poster) Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
2019	—	`conf`	Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI 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
2019	J	`jnl`	Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. CoRR Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
2018	A*	`conf`	Adversarially Learned Anomaly Detection. ICDM Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar
2018	A*	`conf`	Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
2018	J	`jnl`	Deep Adaptive Temporal Pooling for Activity Recognition. CoRR Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
2018	A*	`conf`	Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. KDD XuLei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi
2018	A*	`conf`	DehazeGAN: When Image Dehazing Meets Differential Programming. IJCAI Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
2018	B	`conf`	Gated Square-Root Pooling for Image Instance Retrieval. ICIP Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan
2018	—	`conf`	Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar
2018	J	`jnl`	Holistic Multi-modal Memory Network for Movie Question Answering. CoRR Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar
2018	J	`jnl`	Manifold regularization with GANs for semi-supervised learning. CoRR Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar
2018	J	`jnl`	Mirror descent in saddle-point problems: Going the extra (gradient) mile. CoRR Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2018	J	`jnl`	Online Deep Learning: Growing RBM on the fly. CoRR Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar
2018	J	`jnl`	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
2018	J	`jnl`	The Unusual Effectiveness of Averaging in GAN Training. CoRR Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
2017	J	`jnl`	3DHoPD: A Fast Low-Dimensional 3-D Descriptor. IEEE Robotics Autom. Lett. Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu
2017	B	`conf`	A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang
2017	J	`jnl`	A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. IEEE Trans. Cybern. Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa
2017	B	`conf`	Compact Deep Invariant Descriptors for Video Retrieval. DCC Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	J	`jnl`	Compact Descriptors for Video Analysis: the Emerging MPEG Standard. CoRR Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	B	`conf`	Compression of Deep Neural Networks for Image Instance Retrieval. DCC Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Compression of Deep Neural Networks for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
2017	J	`jnl`	Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
2017	B	`conf`	Deep regional feature pooling for video matching. ICIP Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot
2017	B	`conf`	DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar
2017	J	`jnl`	End-to-End Video Classification with Knowledge Graphs. CoRR Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar
2017	—	`conf`	Group Invariant Deep Representations for Image Instance Retrieval. AAAI Spring Symposia Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
2017	J	`jnl`	HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. IEEE Trans. Multim. Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao
2017	J	`jnl`	Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. Signal Process. Image Commun. Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin
2017	B	`conf`	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. ICMR Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio
2017	A*	`conf`	Object Detection Meets Knowledge Graphs. IJCAI Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
2017	J	`jnl`	Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio
2017	B	`conf`	Region average pooling for context-aware object detection. ICIP Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar
2017	J	`jnl`	Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR 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
2017	—	`conf`	VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar
2017	—	`conf`	VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. NTCIR Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
2017	—	`conf`	Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. NTCIR Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
2016	J	`jnl`	A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2016	J	`jnl`	Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
2016	Misc	`conf`	Egocentric activity recognition with multimodal fisher vector. ICASSP Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
2016	J	`jnl`	Group Invariant Deep Representations for Image Instance Retrieval. CoRR Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
2016	—	`conf`	Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. CVPR Workshops Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung
2016	J	`jnl`	Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar
2016	J	`jnl`	Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao
2016	B	`conf`	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
2015	J	`jnl`	A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
2015	J	`jnl`	Co-Regularized Deep Representations for Video Summarization. CoRR Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Co-regularized deep representations for video summarization. ICIP Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
2015	B	`conf`	Compact Global Descriptors for Visual Search. DCC Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
2015	J	`jnl`	DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
2015	A*	`conf`	Multi-sensor Self-Quantification of Presentations. ACM Multimedia Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Mohan S. Kankanhalli
2015	—	`conf`	Selective aggregated descriptors for robust mobile image retrieval. APSIPA Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li
2015	J	`jnl`	Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
2015	B	`conf`	Whole space subclass discriminant analysis for face recognition. ICIP Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim
2014	—	`conf`	A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim
2014	—	`conf`	Activity Recognition in Egocentric Life-Logging Videos. ACCV Workshops (3) Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim
2014	B	`conf`	Efficient video search using image queries. ICIP André Araújo, Mina Makar, Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Huizhong Chen, Roland Angst, Bernd Girod
2014	B	`conf`	Feature Matching Performance of Compact Descriptors for Visual Search. DCC Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Mina Makar, Bernd Girod
2014	B	`conf`	Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim
2014	J	`jnl`	Interframe Coding of Feature Descriptors for Mobile Augmented Reality. IEEE Trans. Image Process. Mina Makar, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Bernd Girod
2014	—	`conf`	Recovering Social Interaction Spatial Structure from Multiple First-Person Views. SAM@MM Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, Mohan S. Kankanhalli
2014	—	`conf`	Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
2013	J	`jnl`	Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform. IEEE Trans. Image Process. Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod
2013	J	`jnl`	Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality. Int. J. Semantic Comput. Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod
2013	J	`jnl`	Residual enhanced visual vector as a compact signature for mobile visual search. Signal Process. David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2013	J	`jnl`	Rotation-invariant fast features for large-scale recognition and real-time tracking. Signal Process. Image Commun. Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod
2012	J	`jnl`	Compressed Histogram of Gradients: A Low-Bitrate Descriptor. Int. J. Comput. Vis. Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod
2012	B	`conf`	Gradient preserving quantization. ICIP Mina Makar, Haricharan Lakshman, Vijay Chandrasekhar, Bernd Girod
2012	C	`conf`	Interframe Coding of Canonical Patches for Mobile Augmented Reality. ISM Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod
2011	Misc	`conf`	Automatic Language Identification in music videos with low level audio and visual features. ICASSP Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross
2011	—	`conf`	Compressing Feature Sets with Digital Search Trees. ICCV Workshops Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
2011	J	`jnl`	Mobile Visual Search. IEEE Signal Process. Mag. Bernd Girod, Vijay Chandrasekhar, David M. Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy A. Reznik, Gabriel Takacs, Sam S. Tsai, Ramakrishna Vedantham
2011	J	`jnl`	Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard. IEEE Multim. Bernd Girod, Vijay Chandrasekhar, Radek Grzeszczuk, Yuriy A. Reznik
2011	—	`conf`	Residual Enhanced Visual Vectors for on-device image matching. ACSCC David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Huizhong Chen, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2011	—	`conf`	Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. ISMIR Vijay Chandrasekhar, Matt Sharifi, David A. Ross
2011	A	`conf`	The stanford mobile visual search data set. MMSys 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
2010	B	`conf`	Comparison of local feature descriptors for mobile visual search. ICIP Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabriel Takacs, Sam S. Tsai, Ngai-Man Cheung, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod
2010	B	`conf`	Dynamic selection of a feature-rich query frame for mobile video retrieval. ICIP David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2010	B	`conf`	Fast geometric re-ranking for image-based retrieval. ICIP Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2010	B	`conf`	Inverted Index Compression for Scalable Image Matching. DCC David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2010	A*	`conf`	Mobile product recognition. ACM Multimedia Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Ngai-Man Cheung, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2010	—	`conf`	Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors. CVPR Workshops Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
2010	A*	`conf`	Restoration of out-of-focus lecture video by automatic slide matching. ACM Multimedia Ngai-Man Cheung, David M. Chen, Vijay Chandrasekhar, Sam S. Tsai, Gabriel Takacs, Sherif A. Halawa, Bernd Girod
2010	A*	`conf`	Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features. CVPR Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod
2009	A*	`conf`	CHoG: Compressed histogram of gradients A low bit-rate feature descriptor. CVPR Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
2009	—	`conf`	Location coding for mobile image retrieval. MobiMedia Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Jatinder Pal Singh, Bernd Girod
2009	—	`conf`	Low-rate image retrieval with tree histogram coding. MobiMedia Vijay Chandrasekhar, David M. Chen, Zhi Li, Gabriel Takacs, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
2009	B	`conf`	Tree Histogram Coding for Mobile Image Matching. DCC David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod
2008	C	`conf`	Color restoration for objects of interest using robust image features. MMSP David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod
2008	—	`conf`	Outdoors augmented reality on mobile phone using loxel-based visual feature organization. Multimedia Information Retrieval Gabriel Takacs, Vijay Chandrasekhar, Natasha Gelfand, Yingen Xiong, Wei-Chao Chen, Thanos Bismpigiannis, Radek Grzeszczuk, Kari Pulli, Bernd Girod
2007	B	`conf`	Experimental Analysis of Area Localization Scheme for Sensor Networks. WCNC Vijay Chandrasekhar, Zhi Ang Eu, Winston Khoon Guan Seah, A. Pillai Venkatesh
2007	A*	`conf`	Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors. ISMAR Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, Radek Grzeszczuk
2006	—	`conf`	Localization in underwater sensor networks: survey and challenges. Underwater Networks Vijay Chandrasekhar, Winston Khoon Guan Seah, Yoo Sang Choo, How Voon Ee