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ORCIDMatthai Philipose
Person information
- affiliation: Microsoft Research
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Books and Theses
- 2005
[b1]Matthai Philipose:
Automatic staged compilation. University of Washington, USA, 2005
Journal Articles
- 2017
- [j17]Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath, Sudipta Sinha:
Real-Time Video Analytics: The Killer App for Edge Computing. Computer 50(10): 58-67 (2017) - 2014
- [j16]Julie Letchner, Magdalena Balazinska, Christopher Ré, Matthai Philipose:
Approximation trade-offs in a Markovian stream warehouse: An empirical study. Inf. Syst. 39: 290-304 (2014) - [j15]Haowei Liu, Matthai Philipose, Ming-Ting Sun:
Automatic objects segmentation with RGB-D cameras. J. Vis. Commun. Image Represent. 25(4): 709-718 (2014) - [j14]Haowei Liu, Matthai Philipose, Martin Pettersson, Ming-Ting Sun:
Recognizing object manipulation activities using depth and visual cues. J. Vis. Commun. Image Represent. 25(4): 719-726 (2014) - 2013
- [j13]Seungyeop Han, Matthai Philipose, Yun-Cheng Ju:
ACM HotMobile 2013 demo: NLify: mobile spoken natural language interfaces for everyone. ACM SIGMOBILE Mob. Comput. Commun. Rev. 17(3): 2 (2013) - 2011
- [j12]Daqing Zhang, Matthai Philipose, Qiang Yang:
Introduction to the special issue on intelligent systems for activity recognition. ACM Trans. Intell. Syst. Technol. 2(1): 1:1-1:4 (2011) - 2009
- [j11]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Lahar Demonstration: Warehousing Markovian Streams. Proc. VLDB Endow. 2(2): 1610-1613 (2009) - 2008
- [j10]Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose:
Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae 89(1): 111-129 (2008) - [j9]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Challenges for Event Queries over Markovian Streams. IEEE Internet Comput. 12(6): 30-36 (2008) - 2007
- [j8]Bing Jiang, Joshua R. Smith, Matthai Philipose, Sumit Roy, Kishore Sundara-Rajan, Alexander V. Mamishev:
Energy Scavenging for Inductively Coupled Passive RFID Systems. IEEE Trans. Instrum. Meas. 56(1): 118-125 (2007) - 2006
- [j7]Tanzeem Choudhury, Matthai Philipose, Danny Wyatt, Jonathan Lester:
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives. IEEE Data Eng. Bull. 29(1): 49-58 (2006) - [j6]Bing Jiang, Kenneth P. Fishkin, Sumit Roy, Matthai Philipose:
Unobtrusive long-range detection of passive RFID tag motion. IEEE Trans. Instrum. Meas. 55(1): 187-196 (2006) - 2005
- [j5]Joshua R. Smith, Kenneth P. Fishkin, Bing Jiang, Alexander V. Mamishev, Matthai Philipose, Adam D. Rea, Sumit Roy, Kishore Sundara-Rajan:
RFID-based techniques for human-activity detection. Commun. ACM 48(9): 39-44 (2005) - [j4]Matthai Philipose, Joshua R. Smith, Bing Jiang, Alexander V. Mamishev, Sumit Roy, Kishore Sundara-Rajan:
Battery-free wireless identification and sensing. IEEE Pervasive Comput. 4(1): 37-45 (2005) - 2004
- [j3]Matthai Philipose, Kenneth P. Fishkin, Mike Perkowitz, Donald J. Patterson
, Dieter Fox, Henry A. Kautz, Dirk Hähnel:
Inferring Activities from Interactions with Objects. IEEE Pervasive Comput. 3(4): 50-57 (2004) - 2000
- [j2]Brian Grant, Markus Mock, Matthai Philipose, Craig Chambers, Susan J. Eggers:
DyC: an expressive annotation-directed dynamic compiler for C. Theor. Comput. Sci. 248(1-2): 147-199 (2000) - [j1]Brian Grant, Markus Mock, Matthai Philipose, Craig Chambers, Susan J. Eggers:
The benefits and costs of DyC's run-time optimizations. ACM Trans. Program. Lang. Syst. 22(5): 932-972 (2000)
Conference and Workshop Papers
- 2021
- [c59]Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak:
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. ICML 2021: 5731-5741 - 2020
- [c58]Joshua Fromm, Meghan Cowan, Matthai Philipose, Luis Ceze, Shwetak N. Patel:
Riptide: Fast End-to-End Binarized Neural Networks. MLSys 2020 - 2019
- [c57]Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram:
Nexus: a GPU cluster engine for accelerating DNN-based video analysis. SOSP 2019: 322-337 - 2018
- [c56]Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Paramvir Bahl, Matthai Philipose:
VideoEdge: Processing Camera Streams using Hierarchical Clusters. SEC 2018: 115-131 - [c55]Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar:
Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. ICASSP 2018: 2236-2240 - [c54]Joshua Fromm, Shwetak N. Patel, Matthai Philipose:
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks. NeurIPS 2018: 4010-4019 - [c53]Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. OSDI 2018: 269-286 - [c52]Yifan Wu, Steven Mark Drucker, Matthai Philipose, Lenin Ravindranath:
Querying Videos Using DNN Generated Labels. HILDA@SIGMOD 2018: 6:1-6:6 - 2017
- [c51]Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy:
Fast Video Classification via Adaptive Cascading of Deep Models. CVPR 2017: 2197-2205 - [c50]Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana:
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) 2017 - [c49]Lenin Ravindranath, Matthai Philipose, Peter Bodík, Paramvir Bahl:
Demo: Live Video Stream Triggers. MobiSys 2017: 195 - [c48]Saman Naderiparizi, Pengyu Zhang, Matthai Philipose, Bodhi Priyantha, Jie Liu, Deepak Ganesan:
Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision. MobiSys 2017: 292-305 - [c47]Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Paramvir Bahl, Michael J. Freedman:
Live Video Analytics at Scale with Approximation and Delay-Tolerance. NSDI 2017: 377-392 - 2016
- [c46]Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan:
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML 2016: 718-726 - [c45]Seungyeop Han, Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman, Arvind Krishnamurthy:
MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints. MobiSys 2016: 123-136 - 2015
- [c44]Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Matthai Philipose, Bodhi Priyantha, Mohammed Shoaib:
SAPPHIRE: an always-on context-aware computer vision system for portable devices. DATE 2015: 1491-1496 - 2014
- [c43]Matthai Philipose:
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements. AAAI 2014: 2817-2823 - [c42]Mohammed Shoaib, Jie Liu, Matthai Philipose:
Energy scaling in multi-tiered sensing systems through compressive sensing. CICC 2014: 1-8 - [c41]Jaeyeon Jung, Matthai Philipose:
Courteous glass. UbiComp Adjunct 2014: 1307-1312 - [c40]Sharad Agarwal, Matthai Philipose, Paramvir Bahl:
Vision: the case for cellular small cells for cloudlets. MCS@MobiSys 2014: 1-5 - [c39]Seungyeop Han, Rajalakshmi Nandakumar, Matthai Philipose, Arvind Krishnamurthy, David Wetherall:
GlimpseData: towards continuous vision-based personal analytics. WPA@MobiSys 2014: 31-36 - 2013
- [c38]Seungyeop Han, Matthai Philipose:
The Case for Onloading Continuous High-Datarate Perception to the Phone. HotOS 2013 - [c37]Seungyeop Han, Matthai Philipose, Yun-Cheng Ju:
NLify: lightweight spoken natural language interfaces via exhaustive paraphrasing. UbiComp 2013: 429-438 - [c36]Robert LiKamWa, Bodhi Priyantha, Matthai Philipose, Lin Zhong, Paramvir Bahl:
Energy characterization and optimization of image sensing toward continuous mobile vision. MobiSys 2013: 69-82 - [c35]Robert LiKamWa, Bodhi Priyantha, Matthai Philipose, Lin Zhong, Paramvir Bahl:
Energy proportional image sensors for continuous mobile vision. MobiSys 2013: 467-468 - 2012
- [c34]Haowei Liu, Matthai Philipose, Ming-Ting Sun:
Recognizing object manipulation activities using depth and visual cues. APSIPA 2012: 1-6 - [c33]Haowei Liu, Matthai Philipose, Ming-Ting Sun:
Automatic object segmentation with 3-D cameras. ICIP 2012: 569-572 - [c32]Paramvir Bahl, Matthai Philipose, Lin Zhong:
VISION: cloud-powered sight for all: showing the cloud what you see. MCS 2012 - 2011
- [c31]Georgios Theocharous, Nicholas J. Butko, Matthai Philipose:
Towards a Physical and Personal Math Coin Tutoring System. AIED 2011: 569-571 - [c30]Nicholas J. Butko, Georgios Theocharous, Matthai Philipose, Javier R. Movellan:
Automated facial affect analysis for one-on-one tutoring applications. FG 2011: 382-387 - 2010
- [c29]Anton Chechetka, Denver Dash, Matthai Philipose:
Relational Learning for Collective Classification of Entities in Images. StarAI@AAAI 2010 - [c28]Branislav Kveton, Matthai Philipose, Michal Valko, Ling Huang:
Online semi-supervised perception: Real-time learning without explicit feedback. CVPR Workshops 2010: 15-21 - [c27]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Approximation trade-offs in Markovian stream processing: An empirical study. ICDE 2010: 936-939 - 2009
- [c26]Xiaofeng Ren, Matthai Philipose:
Egocentric recognition of handled objects: Benchmark and analysis. CVPR Workshops 2009: 1-8 - [c25]Michael Buettner, Richa Prasad, Matthai Philipose, David Wetherall:
Recognizing daily activities with RFID-based sensors. UbiComp 2009: 51-60 - [c24]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Access Methods for Markovian Streams. ICDE 2009: 246-257 - [c23]Shaun K. Kane, Daniel Avrahami, Jacob O. Wobbrock, Beverly L. Harrison, Adam D. Rea, Matthai Philipose, Anthony LaMarca:
Bonfire: a nomadic system for hybrid laptop-tabletop interaction. UIST 2009: 129-138 - 2008
- [c22]William Pentney, Matthai Philipose, Jeff A. Bilmes:
Structure Learning on Large Scale Common Sense Statistical Models of Human State. AAAI 2008: 1389-1395 - 2007
- [c21]William Pentney, Matthai Philipose, Jeff A. Bilmes, Henry A. Kautz:
Learning Large Scale Common Sense Models of Everyday Life. AAAI 2007: 465-470 - [c20]Sengul Vurgun, Matthai Philipose, Misha Pavel:
A Statistical Reasoning System for Medication Prompting. UbiComp 2007: 1-18 - [c19]Beth Logan, Jennifer Healey, Matthai Philipose, Emmanuel Munguia Tapia, Stephen S. Intille:
A Long-Term Evaluation of Sensing Modalities for Activity Recognition. UbiComp 2007: 483-500 - [c18]Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg:
A Scalable Approach to Activity Recognition based on Object Use. ICCV 2007: 1-8 - [c17]Shiaokai Wang, William Pentney, Ana-Maria Popescu, Tanzeem Choudhury, Matthai Philipose:
Common Sense Based Joint Training of Human Activity Recognizers. IJCAI 2007: 2237-2242 - 2006
- [c16]William Pentney, Ana-Maria Popescu, Shiaokai Wang, Henry A. Kautz, Matthai Philipose:
Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense. AAAI 2006: 906-912 - [c15]Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai Philipose:
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology. Pervasive 2006: 17-32 - 2005
- [c14]Danny Wyatt, Matthai Philipose, Tanzeem Choudhury:
Unsupervised Activity Recognition Using Automatically Mined Common Sense. AAAI 2005: 21-27 - [c13]Joshua R. Smith, Bing Jiang, Sumit Roy, Matthai Philipose, Kishore Sundara-Rajan, Alexander V. Mamishev:
ID Modulation: Embedding Sensor Data in an RFID Timeseries. Information Hiding 2005: 234-246 - [c12]Daniel H. Wilson, Matthai Philipose:
Maximum A Posteriori Path Estimation with Input Trace Perturbation: Algorithms and Application to Credible Rating of Human Routines. IJCAI 2005: 895-901 - [c11]Kenneth P. Fishkin, Matthai Philipose, Adam D. Rea:
Hands-On RFID: Wireless Wearables for Detecting Use of Objects. ISWC 2005: 38-43 - [c10]Donald J. Patterson, Dieter Fox, Henry A. Kautz, Matthai Philipose:
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage. ISWC 2005: 44-51 - 2004
- [c9]Kenneth P. Fishkin, Bing Jiang, Matthai Philipose, Sumit Roy:
I Sense a Disturbance in the Force: Unobtrusive Detection of Interactions with RFID-tagged Objects. UbiComp 2004: 268-282 - [c8]Dirk Hähnel, Wolfram Burgard, Dieter Fox, Kenneth P. Fishkin, Matthai Philipose:
Mapping and Localization with RFID Technology. ICRA 2004: 1015-1020 - [c7]Mike Perkowitz, Matthai Philipose, Kenneth P. Fishkin, Donald J. Patterson:
Mining models of human activities from the web. WWW 2004: 573-582 - 2003
- [c6]Jong Hee Kang, Matthai Philipose, Gaetano Borriello:
River: An Infrastructure for Context Dependent, Reactive Communication Primitives. WMCSA 2003: 77- - 2002
- [c5]Matthai Philipose, Craig Chambers, Susan J. Eggers:
Towards automatic construction of staged compilers. POPL 2002: 113-125 - 1999
- [c4]Brian Grant, Matthai Philipose, Markus Mock, Craig Chambers, Susan J. Eggers:
An Evaluation of Staged Run-Time Optimizations in DyC. PLDI 1999: 293-304 - [c3]Brian Grant, Matthai Philipose, Markus Mock, Craig Chambers, Susan J. Eggers:
An evaluation of staged run-time optimizations in DyC (with retrospective). Best of PLDI 1999: 656-669 - 1997
- [c2]Brian Grant, Markus Mock, Matthai Philipose, Craig Chambers, Susan J. Eggers:
Annotation-Directed Run-Time Specialization in C. PEPM 1997: 163-178 - 1996
- [c1]Joel Auslander, Matthai Philipose, Craig Chambers, Susan J. Eggers, Brian N. Bershad:
Fast, Effective Dynamic Compilation. PLDI 1996: 149-159
Informal and Other Publications
- 2023
- [i7]Lequn Chen, Weixin Deng, Anirudh Canumalla, Yu Xin, Matthai Philipose, Arvind Krishnamurthy:
Symphony: Optimized Model Serving using Centralized Orchestration. CoRR abs/2308.07470 (2023) - 2018
- [i6]Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. CoRR abs/1801.03493 (2018) - [i5]Josh Fromm, Shwetak N. Patel, Matthai Philipose:
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks. CoRR abs/1805.10368 (2018) - 2017
- [i4]Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar:
Precision Scaling of Neural Networks for Efficient Audio Processing. CoRR abs/1712.01340 (2017) - 2016
- [i3]Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson:
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR abs/1603.05691 (2016) - [i2]Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy:
Fast Video Classification via Adaptive Cascading of Deep Models. CoRR abs/1611.06453 (2016) - 2015
- [i1]Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton:
Compressing LSTMs into CNNs. CoRR abs/1511.06433 (2015)
Coauthor Index
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