Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
CVPR 2017 | August 2021
Matthai Philipose
Senior Principal Researcher
Papiers de Collaboration
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Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
2021 International Conference on Machine Learning (ICML 2021) | July 2021
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Nexus: A GPU Cluster Engine for Accelerating DNN-Based Video Analysis
Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram
SOSP '19: Proceedings of the 27th ACM Symposium on Operating Systems Principles | October 2019
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Querying Videos Using DNN Generated Labels
Yifan Wu, Steven Drucker, Matthai Philipose, Lenin Ravindranath Sivalingam
HILDA’18: Workshop on Human-In-the-Loop Data Analytics | January 2019
-
-
-
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm, Shwetak Patel, Matthai Philipose
NIPS 2018 | December 2018
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 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
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Publié par Microsoft
arXiv:1801.03493
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-
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
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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
ACM MobiSys | June 2016
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MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman
MSR-TR-2015-50 | December 2015
-
Redesigning the Wearable Camera Pipeline to Detect Key Body Parts at Low Power
Pengyu Zhang, Bodhi Priyantha, Jie Liu, Matthai Philipose
MSR-TR-2015-51 | April 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
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Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
Courteous Glass
Jaeyeon Jung, Matthai Philipose
The UbiComp workshop on usable privacy and security of wearables and domestic ubiquitous devices | September 2014
-
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
Proceedings of AAAI 2014 | July 2014
-
Vision: The Case for Cellular Small Cells for Cloudlets
Sharad Agarwal, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing & Services | June 2014
-
GlimpseData: Towards Continuous Vision-Based Personal Analytics
Seungyeop Han, Rajalakshmi Nandakumar, Matthai Philipose, Arvind Krishnamurthy, David Wetherall
Workshop on Physical Analytics | June 2014
Workshop on Physical Analytics
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-
-
The Case for Onloading Continuous High-Datarate Perception to the Phone
Seungyeop Han, Matthai Philipose
Proceedings of HotOS'09: 14th Workshop on Hot Topics in Operating Systems | January 2013
-
-
-
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
-
-
-
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
2021 International Conference on Machine Learning (ICML 2021) | July 2021
-
Nexus: A GPU Cluster Engine for Accelerating DNN-Based Video Analysis
Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram
SOSP '19: Proceedings of the 27th ACM Symposium on Operating Systems Principles | October 2019
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Publié par Microsoft
arXiv:1801.03493
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
-
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
ACM MobiSys | June 2016
-
MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman
MSR-TR-2015-50 | December 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
Vision: The Case for Cellular Small Cells for Cloudlets
Sharad Agarwal, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing & Services | June 2014
-
The Case for Onloading Continuous High-Datarate Perception to the Phone
Seungyeop Han, Matthai Philipose
Proceedings of HotOS'09: 14th Workshop on Hot Topics in Operating Systems | January 2013
-
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
-
-
-
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
CVPR 2017 | August 2021
-
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
2021 International Conference on Machine Learning (ICML 2021) | July 2021
-
Nexus: A GPU Cluster Engine for Accelerating DNN-Based Video Analysis
Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram
SOSP '19: Proceedings of the 27th ACM Symposium on Operating Systems Principles | October 2019
-
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm, Shwetak Patel, Matthai Philipose
NIPS 2018 | December 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
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman
MSR-TR-2015-50 | December 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
Proceedings of AAAI 2014 | July 2014
-
-
-
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
CVPR 2017 | August 2021
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Publié par Microsoft
arXiv:1801.03493
-
MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman
MSR-TR-2015-50 | December 2015
-
Redesigning the Wearable Camera Pipeline to Detect Key Body Parts at Low Power
Pengyu Zhang, Bodhi Priyantha, Jie Liu, Matthai Philipose
MSR-TR-2015-51 | April 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
Proceedings of AAAI 2014 | July 2014
-
GlimpseData: Towards Continuous Vision-Based Personal Analytics
Seungyeop Han, Rajalakshmi Nandakumar, Matthai Philipose, Arvind Krishnamurthy, David Wetherall
Workshop on Physical Analytics | June 2014
Workshop on Physical Analytics
-
-
-
Querying Videos Using DNN Generated Labels
Yifan Wu, Steven Drucker, Matthai Philipose, Lenin Ravindranath Sivalingam
HILDA’18: Workshop on Human-In-the-Loop Data Analytics | January 2019
-
-
-
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
-
-
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
-
-
Limiting Numerical Precision of Neural Networks to Achieve Real-time Voice Activity Detection
Jong-Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
-
-
Redesigning the Wearable Camera Pipeline to Detect Key Body Parts at Low Power
Pengyu Zhang, Bodhi Priyantha, Jie Liu, Matthai Philipose
MSR-TR-2015-51 | April 2015
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
-
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
-
-
Courteous Glass
Jaeyeon Jung, Matthai Philipose
The UbiComp workshop on usable privacy and security of wearables and domestic ubiquitous devices | September 2014
-
-
-
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
CVPR 2017 | August 2021
-
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
2021 International Conference on Machine Learning (ICML 2021) | July 2021
-
Nexus: A GPU Cluster Engine for Accelerating DNN-Based Video Analysis
Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram
SOSP '19: Proceedings of the 27th ACM Symposium on Operating Systems Principles | October 2019
-
Querying Videos Using DNN Generated Labels
Yifan Wu, Steven Drucker, Matthai Philipose, Lenin Ravindranath Sivalingam
HILDA’18: Workshop on Human-In-the-Loop Data Analytics | January 2019
-
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm, Shwetak Patel, Matthai Philipose
NIPS 2018 | December 2018
-
VideoEdge: Processing Camera Streams using Hierarchical Clusters
Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Victor Bahl, Matthai Philipose
ACM/IEEE Symposium on Edge Computing (SEC) | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 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
IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | April 2018
-
Precision Scaling of Neural Networks for Audio Processing
Jong Hwan Ko, Josh Fromm, Matthai Philipose, Ivan Tashev, Shuayb Zarar
Neural Information Processing Systems (NIPS) | December 2017
Wkshp. on Machine Learning for Audio Signal Processing
-
Live Video Analytics at Scale with Approximation and Delay-Tolerance
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Victor Bahl, Michael Freedman
USENIX NSDI | March 2017
-
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
ACM MobiSys | June 2016
-
SAPPHIRE: An Always-on Context-aware Computer Vision System for Portable Devices
Swagath Venkataramani, Victor Bahl, Xian-Sheng Hua, Jie Liu, Jin Li, Bodhi Priyantha, Matthai Philipose, Shuayb Zarar
IEEE/ACM Conf. Design Automation and Test in Europe (DATE) | March 2015
-
Energy Scaling in Multi-tiered Sensing Systems Through Compressive Sensing
Shuayb Zarar, Jie Liu, Matthai Philipose
IEEE Custom Integrated Circuits Conference (CICC) | September 2014
Best paper award nomination
-
Courteous Glass
Jaeyeon Jung, Matthai Philipose
The UbiComp workshop on usable privacy and security of wearables and domestic ubiquitous devices | September 2014
-
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
Proceedings of AAAI 2014 | July 2014
-
Vision: The Case for Cellular Small Cells for Cloudlets
Sharad Agarwal, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing & Services | June 2014
-
GlimpseData: Towards Continuous Vision-Based Personal Analytics
Seungyeop Han, Rajalakshmi Nandakumar, Matthai Philipose, Arvind Krishnamurthy, David Wetherall
Workshop on Physical Analytics | June 2014
Workshop on Physical Analytics
-
The Case for Onloading Continuous High-Datarate Perception to the Phone
Seungyeop Han, Matthai Philipose
Proceedings of HotOS'09: 14th Workshop on Hot Topics in Operating Systems | January 2013
-
Cloud-Powered Sight for All: Showing the Cloud What You See
Paramvir Bahl, Matthai Philipose, Victor Bahl
International Workshop on Mobile Cloud Computing and Services (MCS) | June 2012
International Workshop on Mobile Cloud Computing and Services (MCS)
-
-
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Publié par Microsoft
arXiv:1801.03493
-
MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman
MSR-TR-2015-50 | December 2015
-
Redesigning the Wearable Camera Pipeline to Detect Key Body Parts at Low Power
Pengyu Zhang, Bodhi Priyantha, Jie Liu, Matthai Philipose
MSR-TR-2015-51 | April 2015
-
-
-
Real-time Video Analytics: the killer app for edge computing
Ganesh Ananthanarayanan, Victor Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath Sivalingam, Sudipta Sinha
IEEE Computer | October 2017
-