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Depth Map Estimation of Dynamic Scenes Using Prior Depth Information

Feb 02, 2020
James Noraky, Vivienne Sze


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Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators

Dec 18, 2019
Tien-Ju Yang, Vivienne Sze

* Accepted by IEDM 2019 

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FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping

May 06, 2019
Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze


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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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DeeperLab: Single-Shot Image Parser

Mar 12, 2019
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen

* 20 pages. The code of the proposed Parsing Covering metric is available at http://deeperlab.mit.edu 

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FastDepth: Fast Monocular Depth Estimation on Embedded Systems

Mar 08, 2019
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze

* Accepted for presentation at ICRA 2019. 8 pages, 6 figures, 7 tables 

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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Sep 28, 2018
Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

* Accepted by ECCV 2018 

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Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones

Sep 15, 2018
Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze


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Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks

Jul 10, 2018
Yu-Hsin Chen, Joel Emer, Vivienne Sze


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Hardware for Machine Learning: Challenges and Opportunities

Oct 17, 2017
Vivienne Sze, Yu-Hsin Chen, Joel Emer, Amr Suleiman, Zhengdong Zhang

* Published as an invited conference paper at CICC 2017 

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Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Aug 13, 2017
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer

* Based on tutorial on DNN Hardware at eyeriss.mit.edu/tutorial.html 

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FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos

Aug 04, 2017
Zhengdong Zhang, Vivienne Sze


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Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning

Apr 18, 2017
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze

* Published as a conference paper at CVPR 2017 

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Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

Mar 17, 2017
Amr Suleiman, Yu-Hsin Chen, Joel Emer, Vivienne Sze


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A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps

Jul 27, 2016
Amr Suleiman, Zhengdong Zhang, Vivienne Sze


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