default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVijay Chandrasekhar 0001
Vijay Ramaseshan Chandrasekhar
Person information
- affiliation: A*STAR, Institute for Infocomm Research, Singapore
- affiliation (PhD 2013): Stanford University, CA, United States
- affiliation: Google Inc., Mountain View, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j20]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: 296-334 (2022)- [c78]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: 157-172 - [c77]Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo:
Mixed Membership Generative Adversarial Networks. ICIP 2022: 1026-1030 - [c76]Lining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan Sheng Foo:
Bayesian Deep Active Learning for Analog Circuit Performance Classification. ISCAS 2022: 3018-3022 - 2021
- [j19]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:
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. IEEE Trans. Emerg. Top. Comput. 9(3): 1330-1343 (2021) - [j18]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: 3740-3752 (2021) - [c75]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: 253-262 - [i38]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 abs/2101.04859 (2021) - 2020
- [j17]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: 489-499 (2020) - [c74]Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar:
Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ICIP 2020: 1651-1655 - [c73]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: 2267-2273 - [i37]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi:
Classification Representations Can be Reused for Downstream Generations. CoRR abs/2004.07543 (2020) - [i36]Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Vijay Chandrasekhar:
Empirical Analysis of Overfitting and Mode Drop in GAN Training. CoRR abs/2006.14265 (2020) - [i35]Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin:
Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR abs/2007.04756 (2020)
2010 – 2019
- 2019
- [j16]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): 44-54 (2019) - [j15]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): 388-401 (2019) - [c72]Arko Dutt, Govind Narasimman, Lin Jie, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry:
EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress. CODES+ISSS 2019: 4:1-4:2 - [c71]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: 9356-9364 - [c70]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: 574 - [c69]Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin:
Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP 2019: 879-883 - [c68]Wang Zhe, Jie Lin, Vijay Chandrasekhar, Bernd Girod:
Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. ICIP 2019: 3826-3830 - [c67]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 - [c66]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 - [c65]Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar:
Semi-Supervised Audio Classification with Consistency-Based Regularization. INTERSPEECH 2019: 3654-3658 - [c64]Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly:
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED 2019: 1-6 - [c63]Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. ITSC 2019: 559-566 - [c62]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: 225-234 - [c61]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:
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). SoCC 2019: 394-399 - [i34]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 abs/1901.02064 (2019) - [i33]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:
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR abs/1901.10074 (2019) - [i32]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 abs/1902.03444 (2019) - [i31]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 abs/1909.07541 (2019) - [i30]Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. CoRR abs/1912.04219 (2019) - 2018
- [c60]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: 107-122 - [c59]Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar:
Adversarially Learned Anomaly Detection. ICDM 2018: 727-736 - [c58]Ziqian Chen, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan:
Gated Square-Root Pooling for Image Instance Retrieval. ICIP 2018: 1982-1986 - [c57]Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar:
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. ICLR (Workshop) 2018 - [c56]Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
DehazeGAN: When Image Dehazing Meets Differential Programming. IJCAI 2018: 1234-1240 - [c55]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: 923-931 - [c54]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia 2018: 1829-1837 - [i29]Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar:
Efficient GAN-Based Anomaly Detection. CoRR abs/1802.06222 (2018) - [i28]Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar:
Online Deep Learning: Growing RBM on the fly. CoRR abs/1803.02043 (2018) - [i27]Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi:
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR abs/1803.11246 (2018) - [i26]Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar:
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization. CoRR abs/1805.08957 (2018) - [i25]Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
The Unusual Effectiveness of Averaging in GAN Training. CoRR abs/1806.04498 (2018) - [i24]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 abs/1807.02629 (2018) - [i23]Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar:
Manifold regularization with GANs for semi-supervised learning. CoRR abs/1807.04307 (2018) - [i22]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. CoRR abs/1808.07272 (2018) - [i21]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:
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. CoRR abs/1811.00778 (2018) - [i20]Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar:
Holistic Multi-modal Memory Network for Movie Question Answering. CoRR abs/1811.04595 (2018) - [i19]Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar:
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR abs/1811.06219 (2018) - [i18]Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar:
Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR abs/1811.06231 (2018) - [i17]Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry:
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR abs/1811.12065 (2018) - [i16]Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar:
Adversarially Learned Anomaly Detection. CoRR abs/1812.02288 (2018) - [i15]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 abs/1812.07832 (2018) - [i14]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:
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. IACR Cryptol. ePrint Arch. 2018: 1056 (2018) - 2017
- [j14]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): 1472-1479 (2017) - [j13]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: 40-49 (2017) - [j12]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): 841-854 (2017) - [j11]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): 1968-1983 (2017) - [c53]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 - [c52]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 - [c51]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: 300-309 - [c50]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: 420-429 - [c49]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: 380-384 - [c48]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: 1117-1121 - [c47]Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar:
Region average pooling for context-aware object detection. ICIP 2017: 1347-1351 - [c46]Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar:
Object Detection Meets Knowledge Graphs. IJCAI 2017: 1661-1667 - [c45]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: 133-141 - [c44]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: 260-268 - [c43]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 - [c42]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 - [i13]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 abs/1701.04923 (2017) - [i12]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 abs/1704.08141 (2017) - [i11]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 abs/1705.09435 (2017) - [i10]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 abs/1706.05461 (2017) - [i9]Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio:
Pruning Convolutional Neural Networks for Image Instance Retrieval. CoRR abs/1707.05455 (2017) - [i8]Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar:
End-to-End Video Classification with Knowledge Graphs. CoRR abs/1711.01714 (2017) - 2016
- [j10]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: 426-439 (2016) - [j9]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): 179-194 (2016) - [c41]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: 378-385 - [c40]Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard:
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. DCC 2016: 397-406 - [c39]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric activity recognition with multimodal fisher vector. ICASSP 2016: 2717-2721 - [i7]Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso A. Poggio:
Group Invariant Deep Representations for Image Instance Retrieval. CoRR abs/1601.02093 (2016) - [i6]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR abs/1601.06603 (2016) - [i5]Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar:
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. CoRR abs/1603.04595 (2016) - 2015
- [c38]Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li:
Selective aggregated descriptors for robust mobile image retrieval. APSIPA 2015: 169-177 - [c37]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Antoine Veillard, Hanlin Goh:
Compact Global Descriptors for Visual Search. DCC 2015: 333-342 - [c36]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:
ICDAR 2015 competition on Robust Reading. ICDAR 2015: 1156-1160 - [c35]Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim:
Whole space subclass discriminant analysis for face recognition. ICIP 2015: 329-333 - [c34]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-regularized deep representations for video summarization. ICIP 2015: 3165-3169 - [c33]Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Mohan S. Kankanhalli:
Multi-sensor Self-Quantification of Presentations. ACM Multimedia 2015: 601-610 - [i4]Jie Lin, Olivier Morère, Vijay Chandrasekhar, Antoine Veillard, Hanlin Goh:
DeepHash: Getting Regularization, Depth and Fine-Tuning Right. CoRR abs/1501.04711 (2015) - [i3]Olivier Morère, Hanlin Goh, Antoine Veillard, Vijay Chandrasekhar, Jie Lin:
Co-Regularized Deep Representations for Video Summarization. CoRR abs/1501.07738 (2015) - [i2]Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh, Antoine Veillard:
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval. CoRR abs/1508.02496 (2015) - [i1]Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard:
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. CoRR abs/1511.03055 (2015) - 2014
- [j8]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): 3352-3367 (2014) - [c32]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: 419-433 - [c31]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: 445-458 - [c30]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: 549-556 - [c29]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: 3-12 - [c28]André 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: 3082-3086 - [c27]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: 2631-2636 - [c26]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: 7-12 - 2013
- [j7]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): 5-24 (2013) - [j6]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): 2316-2327 (2013) - [j5]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): 334-344 (2013) - [j4]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): 2970-2982 (2013) - 2012
- [j3]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): 384-399 (2012) - [c25]Mina Makar, Haricharan Lakshman, Vijay Chandrasekhar, Bernd Girod:
Gradient preserving quantization. ICIP 2012: 2505-2508 - [c24]Mina Makar, Sam S. Tsai, Vijay Chandrasekhar, David M. Chen, Bernd Girod:
Interframe Coding of Canonical Patches for Mobile Augmented Reality. ISM 2012: 50-57 - 2011
- [j2]Bernd Girod, Vijay Chandrasekhar, Radek Grzeszczuk, Yuriy A. Reznik:
Mobile Visual Search: Architectures, Technologies, and the Emerging MPEG Standard. IEEE Multim. 18(3): 86-94 (2011) - [j1]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): 61-76 (2011) - [c23]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: 850-854 - [c22]Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross:
Automatic Language Identification in music videos with low level audio and visual features. ICASSP 2011: 5724-5727 - [c21]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: 32-39 - [c20]Vijay Chandrasekhar, Matt Sharifi, David A. Ross:
Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-by-Example Applications. ISMIR 2011: 801-806 - [c19]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: 117-122 - 2010
- [c18]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: 33-40 - [c17]Gabriel Takacs, Vijay Chandrasekhar, Sam S. Tsai, David M. Chen, Radek Grzeszczuk, Bernd Girod:
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features. CVPR 2010: 934-941 - [c16]David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod:
Inverted Index Compression for Scalable Image Matching. DCC 2010: 525 - [c15]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: 1017-1020 - [c14]Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod:
Fast geometric re-ranking for image-based retrieval. ICIP 2010: 1029-1032 - [c13]Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabriel Takacs, Sam S. Tsai, Ngai-Man Cheung, Yuriy A. Reznik, Radek Grzeszczuk, Bernd Girod:
Comparison of local feature descriptors for mobile visual search. ICIP 2010: 3885-3888 - [c12]Ngai-Man Cheung, David M. Chen, Vijay Chandrasekhar, Sam S. Tsai, Gabriel Takacs, Sherif A. Halawa, Bernd Girod:
Restoration of out-of-focus lecture video by automatic slide matching. ACM Multimedia 2010: 899-902 - [c11]Sam S. Tsai, David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Ngai-Man Cheung, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod:
Mobile product recognition. ACM Multimedia 2010: 1587-1590
2000 – 2009
- 2009
- [c10]Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod:
CHoG: Compressed histogram of gradients A low bit-rate feature descriptor. CVPR 2009: 2504-2511 - [c9]David M. Chen, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod:
Tree Histogram Coding for Mobile Image Matching. DCC 2009: 143-152 - [c8]Vijay Chandrasekhar, David M. Chen, Zhi Li, Gabriel Takacs, Sam S. Tsai, Radek Grzeszczuk, Bernd Girod:
Low-rate image retrieval with tree histogram coding. MobiMedia 2009 - [c7]Sam S. Tsai, David M. Chen, Gabriel Takacs, Vijay Chandrasekhar, Jatinder Pal Singh, Bernd Girod:
Location coding for mobile image retrieval. MobiMedia 2009 - 2008
- [c6]Gabriel Takacs, Vijay Chandrasekhar, Natasha Gelfand, Yingen Xiong, Wei-Chao Chen, Thanos Bismpigiannis, Radek Grzeszczuk, Kari Pulli, Bernd Girod:
Outdoors augmented reality on mobile phone using loxel-based visual feature organization. Multimedia Information Retrieval 2008: 427-434 - [c5]David M. Chen, Vijay Chandrasekhar, Gabriel Takacs, Jatinder Pal Singh, Bernd Girod:
Color restoration for objects of interest using robust image features. MMSP 2008: 535-540 - 2007
- [c4]Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, Radek Grzeszczuk:
Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors. ISMAR 2007: 141-144 - [c3]Vijay Chandrasekhar, Zhi Ang Eu, Winston Khoon Guan Seah, A. Pillai Venkatesh:
Experimental Analysis of Area Localization Scheme for Sensor Networks. WCNC 2007: 4013-4018 - 2006
- [c2]Jeffrey H. S. Tay, Vijay Ramaseshan Chandrasekhar, Winston Khoon Guan Seah:
Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks. MDM 2006: 152 - [c1]Vijay Chandrasekhar, Winston Khoon Guan Seah, Yoo Sang Choo, How Voon Ee:
Localization in underwater sensor networks: survey and challenges. Underwater Networks 2006: 33-40
Coauthor Index
Ling-Yu Duan
aka: Lingyu Duan
aka: Lingyu Duan
Chuan-Sheng Foo
aka: Chuan Sheng Foo
aka: Chuan Sheng Foo
[c78] [j19] [c75] [i38] [c73] [i35] [j16] [j15] [c71] [c70] [c69] [c68] [c64] [i34] [i33] [i31] [c60] [c58] [i21] [i17] [i14] [j14] [j13] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [i13] [i12] [i11] [i10] [i9] [i8] [j10] [j9] [c40] [c39] [i7] [i6] [i5] [c38] [c37] [c34] [i4] [i3] [i2] [i1]
Mohamed M. Sabry
aka: Mohamed M. Sabry Aly
aka: Mohamed M. Sabry Aly
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 21:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
