Inferring activities from interactions with objects M Philipose, KP Fishkin, M Perkowitz, DJ Patterson, D Fox, H Kautz, ... IEEE pervasive computing 3 (4), 50-57, 2004 | 1193 | 2004 |
Inertially controlled switch and RFID tag JR Smith, M Philipose US Patent 7,336,184, 2008 | 1169 | 2008 |
Mapping and localization with RFID technology D Hahnel, W Burgard, D Fox, K Fishkin, M Philipose IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 1090 | 2004 |
Fine-grained activity recognition by aggregating abstract object usage DJ Patterson, D Fox, H Kautz, M Philipose Ninth IEEE International Symposium on Wearable Computers (ISWC'05), 44-51, 2005 | 582 | 2005 |
A long-term evaluation of sensing modalities for activity recognition B Logan, J Healey, M Philipose, EM Tapia, S Intille UbiComp 2007: Ubiquitous Computing: 9th International Conference, UbiComp …, 2007 | 543 | 2007 |
A scalable approach to activity recognition based on object use J Wu, A Osuntogun, T Choudhury, M Philipose, JM Rehg 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 474 | 2007 |
Real-time video analytics: The killer app for edge computing G Ananthanarayanan, P Bahl, P Bodík, K Chintalapudi, M Philipose, ... computer 50 (10), 58-67, 2017 | 433 | 2017 |
Recognizing daily activities with RFID-based sensors M Buettner, R Prasad, M Philipose, D Wetherall Proceedings of the 11th international conference on Ubiquitous computing, 51-60, 2009 | 398 | 2009 |
Live video analytics at scale with approximation and delay-tolerance H Zhang, G Ananthanarayanan, P Bodik, M Philipose, P Bahl, ... 14th USENIX Symposium on Networked Systems Design and Implementation, 2017 | 385 | 2017 |
Battery-free wireless identification and sensing M Philipose, JR Smith, B Jiang, A Mamishev, S Roy, K Sundara-Rajan IEEE Pervasive computing 4 (1), 37-45, 2005 | 382 | 2005 |
Mcdnn: An approximation-based execution framework for deep stream processing under resource constraints S Han, H Shen, M Philipose, S Agarwal, A Wolman, A Krishnamurthy Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 380 | 2016 |
Unsupervised activity recognition using automatically mined common sense D Wyatt, M Philipose, T Choudhury AAAI 5, 21-27, 2005 | 289 | 2005 |
RFID-based techniques for human-activity detection JR Smith, KP Fishkin, B Jiang, A Mamishev, M Philipose, AD Rea, S Roy, ... Communications of the ACM 48 (9), 39-44, 2005 | 286 | 2005 |
Fast, effective dynamic compilation J Auslander, M Philipose, C Chambers, SJ Eggers, BN Bershad ACM SIGPLAN Notices 31 (5), 149-159, 1996 | 274 | 1996 |
Do deep convolutional nets really need to be deep and convolutional? G Urban, KJ Geras, SE Kahou, O Aslan, S Wang, R Caruana, A Mohamed, ... arXiv preprint arXiv:1603.05691, 2016 | 270 | 2016 |
Focus: Querying large video datasets with low latency and low cost K Hsieh, G Ananthanarayanan, P Bodik, S Venkataraman, P Bahl, ... 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | 258 | 2018 |
Mining models of human activities from the web M Perkowitz, M Philipose, K Fishkin, DJ Patterson Proceedings of the 13th international conference on World Wide Web, 573-582, 2004 | 253 | 2004 |
System and method for performing selective dynamic compilation using run-time information C Chambers, SJ Eggers, BK Grant, M Mock, M Philipose US Patent 6,427,234, 2002 | 247 | 2002 |
Videoedge: Processing camera streams using hierarchical clusters CC Hung, G Ananthanarayanan, P Bodik, L Golubchik, M Yu, P Bahl, ... 2018 IEEE/ACM Symposium on Edge Computing (SEC), 115-131, 2018 | 231 | 2018 |
DyC: an expressive annotation-directed dynamic compiler for C B Grant, M Mock, M Philipose, C Chambers, SJ Eggers Theoretical Computer Science 248 (1-2), 147-199, 2000 | 216 | 2000 |