Sotabase

Career

· Member Of Research Staff, Microsoft Research, Microsoft (Current)2011–
· Member Of Research Staff, Intel Labs, Intel Corporation2002–2011
· Bachelor of Science (BS), Computer Science, Cornell University
· Doctor of Philosophy (PhD), Computer Science, University of Washington

Publications (0)

Mapping and localization with RFID technology
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 · 2004
827
cited
Inferring activities from interactions with objects
IEEE pervasive computing · 2004
822
cited
Fine-grained activity recognition by aggregating abstract object usage
International Semantic Web Conference · 2005
527
cited
Real-Time Video Analytics: The Killer App for Edge Computing
Computer · 2017
488
cited
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Symposium on Networked Systems Design and Implementation · 2017
469
cited
A Long-Term Evaluation of Sensing Modalities for Activity Recognition
Ubiquitous Computing · 2007
439
cited
MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2016
401
cited
A Scalable Approach to Activity Recognition based on Object Use
IEEE International Conference on Computer Vision · 2007
397
cited
Recognizing daily activities with RFID-based sensors
Ubiquitous Computing · 2009
323
cited
Unsupervised Activity Recognition Using Automatically Mined Common Sense
AAAI Conference on Artificial Intelligence · 2005
316
cited
Nexus: a GPU cluster engine for accelerating DNN-based video analysis
Symposium on Operating Systems Principles · 2019
309
cited
Focus: Querying Large Video Datasets with Low Latency and Low Cost
USENIX Symposium on Operating Systems Design and Implementation · 2018
294
cited
Battery-free wireless identification and sensing
IEEE pervasive computing · 2005
293
cited
VideoEdge: Processing Camera Streams using Hierarchical Clusters
IFIP International Information Security Conference · 2018
269
cited
RFID-based techniques for human-activity detection
CACM · 2005
259
cited
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
International Conference on Learning Representations · 2016
255
cited
Mining models of human activities from the web
The Web Conference · 2004
217
cited
DyC: an expressive annotation-directed dynamic compiler for C
Theoretical Computer Science · 2000
187
cited
Fast, effective dynamic compilation
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 1996
187
cited
Energy characterization and optimization of image sensing toward continuous mobile vision
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2013
185
cited
Sotabase