Vijay Chandrasekhar

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 67

Top Venues

CoRR

ICIP

DCC

IEEE Trans. Image Process.

Publications

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
Classify and generate: Using classification latent space representations for image generations. Neurocomputing 471 (2022)
Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) (2022)
Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo
Mixed Membership Generative Adversarial Networks. ICIP (2022)
Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
Rate-Distortion Optimized Coding for Efficient CNN Compression. DCC (2021)
Souhail Meftah, Benjamin Hong Meng Tan, Chan Fook Mun, Khin Mi Mi Aung, Bharadwaj Veeravalli, Vijay Chandrasekhar
DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR (2021)
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
Empirical Analysis of Overfitting and Mode Drop in GAN Training. CoRR (2020)
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar
Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ICIP (2020)
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. ICRA (2020)
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar
Holistic Multi-Modal Memory Network for Movie Question Answering. IEEE Trans. Image Process. 29 (2020)
Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Lin Jie
Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR (2020)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
Classification Representations Can be Reused for Downstream Generations. CoRR (2020)
Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. CoRR (2019)
Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Ling-Yu Duan
Codebook-Free Compact Descriptor for Scalable Visual Search. IEEE Trans. Multim. 21 (2) (2019)
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
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI (2019)
Ling-Yu Duan, Yihang Lou, Yan Bai, Tiejun Huang, Wen Gao, Vijay Chandrasekhar, Jie Lin, Shiqi Wang, Alex ChiChung Kot
Compact Descriptors for Video Analysis: The Emerging MPEG Standard. IEEE Multim. 26 (2) (2019)
Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR (2019)
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. ICLR (Poster) (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC (2019)
Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin
Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP (2019)
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. CoRR (2019)
Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod
Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR (2019)
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
The Unusual Effectiveness of Averaging in GAN Training. ICLR (Poster) (2019)
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar
Adversarially Learned Anomaly Detection. ICDM (2018)
Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan
Gated Square-Root Pooling for Image Instance Retrieval. ICIP (2018)
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR (2018)
Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar
Online Deep Learning: Growing RBM on the fly. CoRR (2018)
Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Mirror descent in saddle-point problems: Going the extra (gradient) mile. CoRR (2018)
Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
DehazeGAN: When Image Dehazing Meets Differential Programming. IJCAI (2018)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
Deep Adaptive Temporal Pooling for Activity Recognition. CoRR (2018)
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar
Holistic Multi-modal Memory Network for Movie Question Answering. CoRR (2018)
Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
The Unusual Effectiveness of Averaging in GAN Training. CoRR (2018)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia (2018)
Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar
Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) (2018)
Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. KDD (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar
Manifold regularization with GANs for semi-supervised learning. CoRR (2018)
Jie Lin, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Hanlin Goh, Vijay Chandrasekhar
DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. ICMR (2017)
Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar
End-to-End Video Classification with Knowledge Graphs. CoRR (2017)
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR (2017)
Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex C. Kot
Deep regional feature pooling for video matching. ICIP (2017)
Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. NTCIR (2017)
Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
Object Detection Meets Knowledge Graphs. IJCAI (2017)
Jie Lin, Ling-Yu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex ChiChung Kot, Wen Gao
HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. IEEE Trans. Multim. 19 (9) (2017)
Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar
VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. NTCIR (2017)
Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio
Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR (2017)
Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
Group Invariant Deep Representations for Image Instance Retrieval. AAAI Spring Symposia (2017)
Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa
A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. IEEE Trans. Cybern. 47 (4) (2017)
Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar
Region average pooling for context-aware object detection. ICIP (2017)
Olivier Morère, Jie Lin, Antoine Veillard, Ling-Yu Duan, Vijay Chandrasekhar, Tomaso A. Poggio
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. ICMR (2017)
Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
Compression of Deep Neural Networks for Image Instance Retrieval. DCC (2017)
Sai Manoj Prakhya, Weisi Lin, Vijay Chandrasekhar, Bingbing Liu, Jie Lin
Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. Signal Process. Image Commun. 51 (2017)
Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) (2017)
Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu
3DHoPD: A Fast Low-Dimensional 3-D Descriptor. IEEE Robotics Autom. Lett. 2 (3) (2017)
Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang
A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP (2017)
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
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR (2017)
Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère, Antoine Veillard, Ling-Yu Duan, Tomaso A. Poggio
Compression of Deep Neural Networks for Image Instance Retrieval. CoRR (2017)
Ling-Yu Duan, Vijay Chandrasekhar, Shiqi Wang, Yihang Lou, Jie Lin, Yan Bai, Tiejun Huang, Alex ChiChung Kot, Wen Gao
Compact Descriptors for Video Analysis: the Emerging MPEG Standard. CoRR (2017)
Yihang Lou, Yan Bai, Jie Lin, Shiqi Wang, Jie Chen, Vijay Chandrasekhar, Ling-Yu Duan, Tiejun Huang, Alex ChiChung Kot, Wen Gao
Compact Deep Invariant Descriptors for Video Retrieval. DCC (2017)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR (2016)
Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR (2016)
Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio
Group Invariant Deep Representations for Image Instance Retrieval. CoRR (2016)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin
Egocentric activity recognition with multimodal fisher vector. ICASSP (2016)
Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao
Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. 25 (1) (2016)
Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC (2016)
Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung
Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. CVPR Workshops (2016)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Process. 128 (2016)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-regularized deep representations for video summarization. ICIP (2015)
Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li
Selective aggregated descriptors for robust mobile image retrieval. APSIPA (2015)
Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR (2015)
Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin
Co-Regularized Deep Representations for Video Summarization. CoRR (2015)
Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Mohan S. Kankanhalli
Multi-sensor Self-Quantification of Presentations. ACM Multimedia (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh
Compact Global Descriptors for Visual Search. DCC (2015)
Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR (2015)
Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR (2015)
Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim
Whole space subclass discriminant analysis for face recognition. ICIP (2015)
Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR (2014)
Mina Makar, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Bernd Girod
Interframe Coding of Feature Descriptors for Mobile Augmented Reality. IEEE Trans. Image Process. 23 (8) (2014)
Andre F. de Araújo, Mina Makar, Vijay Chandrasekhar, David M. Chen, Sam S. Tsai, Huizhong Chen, Roland Angst, Bernd Girod
Efficient video search using image queries. ICIP (2014)
Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Mina Makar, Bernd Girod
Feature Matching Performance of Compact Descriptors for Visual Search. DCC (2014)
Sibo Song, Vijay Chandrasekhar, Ngai-Man Cheung, Sanath Narayan, Liyuan Li, Joo-Hwee Lim
Activity Recognition in Egocentric Life-Logging Videos. ACCV Workshops (3) (2014)
Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops (2014)
Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim
A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) (2014)
Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, Mohan S. Kankanhalli
Recovering Social Interaction Spatial Structure from Multiple First-Person Views. SAM@MM (2014)
Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod
Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform. IEEE Trans. Image Process. 22 (8) (2013)
Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod
Rotation-invariant fast features for large-scale recognition and real-time tracking. Signal Process. Image Commun. 28 (4) (2013)
David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
Residual enhanced visual vector as a compact signature for mobile visual search. Signal Process. 93 (8) (2013)
Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod
Interframe Coding of Canonical patches for Low Bit-rate Mobile Augmented Reality. Int. J. Semantic Comput. 7 (1) (2013)
Mina Makar, Haricharan Lakshman, Vijay Chandrasekhar, Bernd Girod
Gradient preserving quantization. ICIP (2012)
Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod
Interframe Coding of Canonical Patches for Mobile Augmented Reality. ISM (2012)
Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod
Compressed Histogram of Gradients: A Low-Bitrate Descriptor. Int. J. Comput. Vis. 96 (3) (2012)
Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
Compressing Feature Sets with Digital Search Trees. ICCV Workshops (2011)
Bernd Girod, Vijay Chandrasekhar, David M. Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy A. Reznik, Gabriel Takacs, Sam S. Tsai, Ramakrishna Vedantham
Mobile Visual Search. IEEE Signal Process. Mag. 28 (4) (2011)
David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Huizhong Chen, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
Residual Enhanced Visual Vectors for on-device image matching. ACSCC (2011)
Bernd Girod, Vijay Chandrasekhar, Radek Grzeszczuk, Yuriy A. Reznik
Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard. IEEE Multim. 18 (3) (2011)
Vijay Chandrasekhar, Matt Sharifi, David A. Ross
Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. ISMIR (2011)
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross
Automatic Language Identification in music videos with low level audio and visual features. ICASSP (2011)
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
The stanford mobile visual search data set. MMSys (2011)
Vijay Chandrasekhar, Yuriy A. Reznik, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod
Quantization schemes for low bitrate Compressed Histogram of Gradients descriptors. CVPR Workshops (2010)
David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
Dynamic selection of a feature-rich query frame for mobile video retrieval. ICIP (2010)

Vijay Chandrasekhar.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Vijay Chandrasekhar