Fast, Effective Dynamic Compilation. - Joel Auslander; Matthai Philipose; Craig Chambers; Susan J. Eggers; Brian N. Bershad (PLDI, 1996)

Annotation-Directed Run-Time Specialization in C. - Brian Grant; Markus Mock; Matthai Philipose; Craig Chambers; Susan J. Eggers (PEPM, 1997)

An Evaluation of Staged Run-Time Optimizations in DyC. - Brian Grant; Matthai Philipose; Markus Mock; Craig Chambers; Susan J. Eggers (PLDI, 1999)

An evaluation of staged run-time optimizations in DyC (with retrospective) - Brian Grant; Matthai Philipose; Markus Mock; Craig Chambers; Susan J. Eggers (Best of PLDI, 1999)

DyC: an expressive annotation-directed dynamic compiler for C. - Brian Grant; Markus Mock; Matthai Philipose; Craig Chambers; Susan J. Eggers (Theor. Comput. Sci., 2000)

The benefits and costs of DyC's run-time optimizations. - Brian Grant; Markus Mock; Matthai Philipose; Craig Chambers; Susan J. Eggers (ACM Trans. Program. Lang. Syst., 2000)

Towards automatic construction of staged compilers. - Matthai Philipose; Craig Chambers; Susan J. Eggers (POPL, 2002)

River: An Infrastructure for Context Dependent, Reactive Communication Primitives. - Jong Hee Kang; Matthai Philipose; Gaetano Borriello (WMCSA, 2003)

I Sense a Disturbance in the Force: Unobtrusive Detection of Interactions with RFID-tagged Objects. - Kenneth P. Fishkin; Bing Jiang; Matthai Philipose; Sumit Roy 001 (UbiComp, 2004)

Mapping and Localization with RFID Technology. - Dirk Hähnel; Wolfram Burgard; Dieter Fox; Kenneth P. Fishkin; Matthai Philipose (ICRA, 2004)

Mining models of human activities from the web. - Mike Perkowitz; Matthai Philipose; Kenneth P. Fishkin; Donald J. Patterson (WWW, 2004)

Inferring Activities from Interactions with Objects. - Matthai Philipose; Kenneth P. Fishkin; Mike Perkowitz; Donald J. Patterson; Dieter Fox; Henry A. Kautz; Dirk Hähnel (IEEE Pervasive Comput., 2004)

Unsupervised Activity Recognition Using Automatically Mined Common Sense. - Danny Wyatt; Matthai Philipose; Tanzeem Choudhury (AAAI, 2005)

ID Modulation: Embedding Sensor Data in an RFID Timeseries. - Joshua R. Smith 001; Bing Jiang; Sumit Roy 001; Matthai Philipose; Kishore Sundara-Rajan; Alexander V. Mamishev (Information Hiding, 2005)

Maximum A Posteriori Path Estimation with Input Trace Perturbation: Algorithms and Application to Credible Rating of Human Routines. - Daniel H. Wilson; Matthai Philipose (IJCAI, 2005)

Hands-On RFID: Wireless Wearables for Detecting Use of Objects. - Kenneth P. Fishkin; Matthai Philipose; Adam D. Rea (ISWC, 2005)

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage. - Donald J. Patterson; Dieter Fox; Henry A. Kautz; Matthai Philipose (ISWC, 2005)

RFID-based techniques for human-activity detection. - Joshua R. Smith 001; Kenneth P. Fishkin; Bing Jiang; Alexander V. Mamishev; Matthai Philipose; Adam D. Rea; Sumit Roy 001; Kishore Sundara-Rajan (Commun. ACM, 2005)

Battery-free wireless identification and sensing. - Matthai Philipose; Joshua R. Smith 001; Bing Jiang; Alexander V. Mamishev; Sumit Roy 001; Kishore Sundara-Rajan (IEEE Pervasive Comput., 2005)

Automatic staged compilation. - Matthai Philipose (2005)

Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense. - William Pentney; Ana-Maria Popescu; Shiaokai Wang; Henry A. Kautz; Matthai Philipose (AAAI, 2006)

Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology. - Emmanuel Munguia Tapia; Tanzeem Choudhury; Matthai Philipose (Pervasive, 2006)

Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives. - Tanzeem Choudhury; Matthai Philipose; Danny Wyatt; Jonathan Lester (IEEE Data Eng. Bull., 2006)

Unobtrusive long-range detection of passive RFID tag motion. - Bing Jiang; Kenneth P. Fishkin; Sumit Roy 001; Matthai Philipose (IEEE Trans. Instrum. Meas., 2006)

Learning Large Scale Common Sense Models of Everyday Life. - William Pentney; Matthai Philipose; Jeff A. Bilmes; Henry A. Kautz (AAAI, 2007)

A Long-Term Evaluation of Sensing Modalities for Activity Recognition. - Beth Logan; Jennifer Healey; Matthai Philipose; Emmanuel Munguia Tapia; Stephen S. Intille (UbiComp, 2007)

A Statistical Reasoning System for Medication Prompting. - Sengul Vurgun; Matthai Philipose; Misha Pavel (UbiComp, 2007)

A Scalable Approach to Activity Recognition based on Object Use. - Jianxin Wu 001; Adebola Osuntogun; Tanzeem Choudhury; Matthai Philipose; James M. Rehg (ICCV, 2007)

Common Sense Based Joint Training of Human Activity Recognizers. - Shiaokai Wang; William Pentney; Ana-Maria Popescu; Tanzeem Choudhury; Matthai Philipose (IJCAI, 2007)

Energy Scavenging for Inductively Coupled Passive RFID Systems. - Bing Jiang; Joshua R. Smith 001; Matthai Philipose; Sumit Roy 001; Kishore Sundara-Rajan; Alexander V. Mamishev (IEEE Trans. Instrum. Meas., 2007)

Structure Learning on Large Scale Common Sense Statistical Models of Human State. - William Pentney; Matthai Philipose; Jeff A. Bilmes (AAAI, 2008)

Relational Transformation-based Tagging for Activity Recognition. - Niels Landwehr; Bernd Gutmann; Ingo Thon; Luc De Raedt; Matthai Philipose (Fundam. Informaticae, 2008)

Challenges for Event Queries over Markovian Streams. - Julie Letchner; Christopher Ré; Magdalena Balazinska; Matthai Philipose (IEEE Internet Comput., 2008)

Egocentric recognition of handled objects: Benchmark and analysis. - Xiaofeng Ren; Matthai Philipose (CVPR Workshops, 2009)

Recognizing daily activities with RFID-based sensors. - Michael Buettner; Richa Prasad; Matthai Philipose; David Wetherall (UbiComp, 2009)

Access Methods for Markovian Streams. - Julie Letchner; Christopher Ré; Magdalena Balazinska; Matthai Philipose (ICDE, 2009)

Bonfire: a nomadic system for hybrid laptop-tabletop interaction. - Shaun K. Kane; Daniel Avrahami; Jacob O. Wobbrock; Beverly L. Harrison; Adam D. Rea; Matthai Philipose; Anthony LaMarca (UIST, 2009)

Lahar Demonstration: Warehousing Markovian Streams. - Julie Letchner; Christopher Ré; Magdalena Balazinska; Matthai Philipose (Proc. VLDB Endow., 2009)

Relational Learning for Collective Classification of Entities in Images. - Anton Chechetka; Denver Dash; Matthai Philipose (StarAI@AAAI, 2010)

Online semi-supervised perception: Real-time learning without explicit feedback. - Branislav Kveton; Matthai Philipose; Michal Valko; Ling Huang (CVPR Workshops, 2010)

Approximation trade-offs in Markovian stream processing: An empirical study. - Julie Letchner; Christopher Ré; Magdalena Balazinska; Matthai Philipose (ICDE, 2010)

Towards a Physical and Personal Math Coin Tutoring System. - Georgios Theocharous; Nicholas J. Butko; Matthai Philipose (AIED, 2011)

Automated facial affect analysis for one-on-one tutoring applications. - Nicholas J. Butko; Georgios Theocharous; Matthai Philipose; Javier R. Movellan (FG, 2011)

Introduction to the special issue on intelligent systems for activity recognition. - Daqing Zhang 001; Matthai Philipose; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2011)

Recognizing object manipulation activities using depth and visual cues. - Haowei Liu; Matthai Philipose; Ming-Ting Sun (APSIPA, 2012)

Automatic object segmentation with 3-D cameras. - Haowei Liu; Matthai Philipose; Ming-Ting Sun (ICIP, 2012)

VISION: cloud-powered sight for all: showing the cloud what you see. - Paramvir Bahl; Matthai Philipose; Lin Zhong 001 (MCS, 2012)

The Case for Onloading Continuous High-Datarate Perception to the Phone. - Seungyeop Han; Matthai Philipose (HotOS, 2013)

NLify: lightweight spoken natural language interfaces via exhaustive paraphrasing. - Seungyeop Han; Matthai Philipose; Yun-Cheng Ju (UbiComp, 2013)

Energy characterization and optimization of image sensing toward continuous mobile vision. - Robert LiKamWa; Bodhi Priyantha; Matthai Philipose; Lin Zhong 001; Paramvir Bahl (MobiSys, 2013)

Energy proportional image sensors for continuous mobile vision. - Robert LiKamWa; Bodhi Priyantha; Matthai Philipose; Lin Zhong 001; Paramvir Bahl (MobiSys, 2013)

ACM HotMobile 2013 demo: NLify: mobile spoken natural language interfaces for everyone. - Seungyeop Han; Matthai Philipose; Yun-Cheng Ju (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013)

Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements. - Matthai Philipose (AAAI, 2014)

Energy scaling in multi-tiered sensing systems through compressive sensing. - Mohammed Shoaib; Jie Liu 001; Matthai Philipose (CICC, 2014)

Courteous glass. - Jaeyeon Jung; Matthai Philipose (UbiComp Adjunct, 2014)

Vision: the case for cellular small cells for cloudlets. - Sharad Agarwal; Matthai Philipose; Paramvir Bahl (MCS@MobiSys, 2014)

GlimpseData: towards continuous vision-based personal analytics. - Seungyeop Han; Rajalakshmi Nandakumar; Matthai Philipose; Arvind Krishnamurthy; David Wetherall (WPA@MobiSys, 2014)

Approximation trade-offs in a Markovian stream warehouse: An empirical study. - Julie Letchner; Magdalena Balazinska; Christopher Ré; Matthai Philipose (Inf. Syst., 2014)

Recognizing object manipulation activities using depth and visual cues. - Haowei Liu; Matthai Philipose; Martin Pettersson; Ming-Ting Sun (J. Vis. Commun. Image Represent., 2014)

Automatic objects segmentation with RGB-D cameras. - Haowei Liu; Matthai Philipose; Ming-Ting Sun (J. Vis. Commun. Image Represent., 2014)

SAPPHIRE: an always-on context-aware computer vision system for portable devices. - Swagath Venkataramani; Victor Bahl; Xian-Sheng Hua 001; Jie Liu 001; Jin Li 001; Matthai Philipose; Bodhi Priyantha; Mohammed Shoaib (DATE, 2015)

Compressing LSTMs into CNNs. - Krzysztof J. Geras; Abdel-rahman Mohamed; Rich Caruana; Gregor Urban; Shengjie Wang; Özlem Aslan; Matthai Philipose; Matthew Richardson; Charles Sutton (CoRR, 2015)

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. - Shengjie Wang; Abdel-rahman Mohamed; Rich Caruana; Jeff A. Bilmes; Matthai Philipose; Matthew Richardson; Krzysztof J. Geras; Gregor Urban; Özlem Aslan (ICML, 2016)

MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints. - Seungyeop Han; Haichen Shen; Matthai Philipose; Sharad Agarwal; Alec Wolman; Arvind Krishnamurthy (MobiSys, 2016)

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Rich Caruana; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson (CoRR, 2016)

Fast Video Classification via Adaptive Cascading of Deep Models. - Haichen Shen; Seungyeop Han; Matthai Philipose; Arvind Krishnamurthy (CVPR, 2017)

Do Deep Convolutional Nets Really Need to be Deep and Convolutional? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson; Rich Caruana (ICLR (Poster), 2017)

Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision. - Saman Naderiparizi; Pengyu Zhang; Matthai Philipose; Bodhi Priyantha; Jie Liu 001; Deepak Ganesan (MobiSys, 2017)

Demo: Live Video Stream Triggers. - Lenin Ravindranath; Matthai Philipose; Peter Bodík; Paramvir Bahl (MobiSys, 2017)

Live Video Analytics at Scale with Approximation and Delay-Tolerance. - Haoyu Zhang; Ganesh Ananthanarayanan; Peter Bodík; Matthai Philipose; Paramvir Bahl; Michael J. Freedman (NSDI, 2017)

Real-Time Video Analytics: The Killer App for Edge Computing. - Ganesh Ananthanarayanan; Paramvir Bahl; Peter Bodík; Krishna Chintalapudi; Matthai Philipose; Lenin Ravindranath; Sudipta Sinha (Computer, 2017)

Precision Scaling of Neural Networks for Efficient Audio Processing. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (CoRR, 2017)

VideoEdge: Processing Camera Streams using Hierarchical Clusters. - Chien-Chun Hung; Ganesh Ananthanarayanan; Peter Bodík; Leana Golubchik; Minlan Yu; Paramvir Bahl; Matthai Philipose (SEC, 2018)

Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (ICASSP, 2018)

Heterogeneous Bitwidth Binarization in Convolutional Neural Networks. - Joshua Fromm; Shwetak N. Patel; Matthai Philipose (NeurIPS, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Shivaram Venkataraman; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (OSDI, 2018)

Querying Videos Using DNN Generated Labels. - Yifan Wu; Steven Mark Drucker; Matthai Philipose; Lenin Ravindranath (HILDA@SIGMOD, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Nexus: a GPU cluster engine for accelerating DNN-based video analysis. - Haichen Shen; Lequn Chen 001; Yuchen Jin; Liangyu Zhao; Bingyu Kong; Matthai Philipose; Arvind Krishnamurthy; Ravi Sundaram (SOSP, 2019)

Riptide: Fast End-to-End Binarized Neural Networks. - Joshua Fromm; Meghan Cowan; Matthai Philipose; Luis Ceze; Shwetak N. Patel (MLSys, 2020)

Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. - Jack Kosaian; Amar Phanishayee; Matthai Philipose; Debadeepta Dey; Rashmi Vinayak (ICML, 2021)

Symphony: Optimized Model Serving using Centralized Orchestration. - Lequn Chen 001; Weixin Deng; Anirudh Canumalla; Yu Xin; Matthai Philipose; Arvind Krishnamurthy (CoRR, 2023)