Sourav Bhattacharya
Sourav Bhattacharya
Senior Researcher, Samsung AI Centre, Cambridge
Verified email at samsung.com
TitleCited byYear
Smart Devices are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition
A Stisen, H Blunck, S Bhattacharya, TS Prentow, MB Kjærgaard, A Dey, ...
The 13th ACM Conference on Embedded Networked Sensor Systems, 2015
2382015
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, L Jiao, L Qendro, ...
International Conference on Information Processing in Sensor Networks (IPSN '16), 2016
2282016
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, F Kawsar
Proceedings of the 2015 International Workshop on Internet of Things towards …, 2015
1212015
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
S Bhattacharya, ND Lane
ACM Conference on Embedded Networked Sensor Systems (SenSys) 2016, 2016
1022016
Energy-efficient trajectory tracking for mobile devices
MB Kjærgaard, S Bhattacharya, H Blunck, P Nurmi
Proceedings of the 9th international conference on Mobile systems …, 2011
1022011
A survey on different video watermarking techniques and comparative analysis with reference to H. 264/AVC
S Bhattacharya, T Chattopadhyay, A Pal
2006 IEEE International Symposium on Consumer Electronics, 1-6, 2006
922006
Using unlabeled data in a sparse-coding framework for human activity recognition
S Bhattacharya, P Nurmi, N Hammerla, T Plötz
Pervasive and Mobile Computing 15, 242-262, 2014
842014
From Smart to Deep: Robust Activity Recognition on Smartwatches using Deep Learning
S Bhattacharya, ND Lane
812016
Identifying meaningful places: The non-parametric way
P Nurmi, S Bhattacharya
International Conference on Pervasive Computing, 111-127, 2008
812008
Towards multimodal deep learning for activity recognition on mobile devices
V Radu, ND Lane, S Bhattacharya, C Mascolo, MK Marina, F Kawsar
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
682016
The company you keep: mobile malware infection rates and inexpensive risk indicators
HTT Truong, E Lagerspetz, P Nurmi, AJ Oliner, S Tarkoma, N Asokan, ...
Proceedings of the 23rd international conference on World wide web, 39-50, 2014
682014
Squeezing deep learning into mobile and embedded devices
ND Lane, S Bhattacharya, A Mathur, P Georgiev, C Forlivesi, F Kawsar
IEEE Pervasive Computing 16 (3), 82-88, 2017
622017
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware
A Mathur, ND Lane, S Bhattacharya, A Boran, C Forlivesi, F Kawsar
The 15th International Conference on Mobile Systems, Applications and …, 2017
482017
Multimodal Deep Learning for Activity and Context Recognition
V Radu, C Tong, S Bhattacharya, ND Lane, C Mascolo, MK Marina, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
442018
A grid-based algorithm for on-device GSM positioning
P Nurmi, S Bhattacharya, J Kukkonen
Proceedings of the 12th ACM international conference on Ubiquitous computing …, 2010
402010
Robust and Energy-Efficient Trajectory Tracking for Mobile Devices
S Bhattacharya, H Blunck, MB Kjærgaard, P Nurmi
IEEE Transactions on Mobile Computing, 2014
392014
Influence of landmark-based navigation instructions on user attention in indoor smart spaces
P Nurmi, A Salovaara, S Bhattacharya, T Pulkkinen, G Kahl
Proceedings of the 16th international conference on Intelligent user …, 2011
252011
Checksum gestures: continuous gestures as an out-of-band channel for secure pairing
I Ahmed, Y Ye, S Bhattacharya, N Asokan, G Jacucci, P Nurmi, S Tarkoma
Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015
212015
Gaussian process-based predictive modeling for bus ridership
S Bhattacharya, S Phithakkitnukoon, P Nurmi, A Klami, M Veloso, C Bento
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013
212013
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations
P Georgiev, S Bhattacharya, N Lane, C Mascolo
Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2017
162017
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