Vivienne Sze

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 91

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. ISPASS (2024)
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI (2024)
Tanner Andrulis, Joel S. Emer, Vivienne Sze
CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. CoRR (2024)
Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. IEEE Trans. Robotics 40 (2024)
Tanner Andrulis, Joel S. Emer, Vivienne Sze
CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. ISPASS (2024)
Tanner Andrulis, Ruicong Chen, Hae-Seung Lee, Joel S. Emer, Vivienne Sze
Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design. CoRR (2024)
Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. CoRR (2024)
Hsin-Yu Lai, Charles G. Sodini, Vivienne Sze, Thomas Heldt
Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (1) (2023)
Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. CoRR (2023)
Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. MICRO (2023)
Tanner Andrulis, Joel S. Emer, Vivienne Sze
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! CoRR (2023)
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel Emer
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO (2023)
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. CoRR (2023)
Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. CoRR (2023)
Soumya Sudhakar, Vivienne Sze, Sertac Karaman
Data Centers on Wheels: Emissions From Computing Onboard Autonomous Vehicles. IEEE Micro 43 (1) (2023)
Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer
LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators. ISPASS (2023)
Tanner Andrulis, Joel S. Emer, Vivienne Sze
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! ISCA (2023)
Vivienne Sze
Unleashing the Power of Deep Learning. Commun. ACM 66 (7) (2023)
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. CoRR (2022)
Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
Memory-Efficient Gaussian Fitting for Depth Images in Real Time. ICRA (2022)
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. MICRO (2022)
Soumya Sudhakar, Vivienne Sze, Sertac Karaman
Uncertainty from Motion for DNN Monocular Depth Estimation. ICRA (2022)
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR (2022)
Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. CoRR (2022)
Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Thomas Heldt, Vivienne Sze
App-Based Saccade Latency and Directional Error Determination Across the Adult Age Spectrum. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR (2022)
Negar Reiskarimian, Zeynep Toprak Deniz, Ulkuhan Guler, Kathy Wilcox, Alice Wang, Jane Gu, Yaoyao Jia, Alicia Klinefelter, Rikky Muller, Farhana Sheikh, Yildiz Sinangil, Trudy Stetzler, Vivienne Sze, Rabia Tugce Yazicigil, Deeksha Lal, Dina El-Damak
SE4: ICs in PandemICs. ISSCC (2021)
Yi-Lun Liao, Sertac Karaman, Vivienne Sze
Searching for Efficient Multi-Stage Vision Transformers. CoRR (2021)
Jessica Ray, Ajay Brahmakshatriya, Richard Wang, Shoaib Kamil, Albert Reuther, Vivienne Sze, Saman P. Amarasinghe
Domain-Specific Language Abstractions for Compression. DCC (2021)
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. CVPR (2021)
Francis Wang, Yannan Nellie Wu, Matthew Woicik, Joel S. Emer, Vivienne Sze
Architecture-Level Energy Estimation for Heterogeneous Computing Systems. ISPASS (2021)
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. CoRR (2021)
Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. IROS (2021)
SukHwan Lim, Luca Benini, Vivienne Sze
Session 9 Overview: ML Processors From Cloud to Edge Machine Learning Subcommittee. ISSCC (2021)
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators. ISPASS (2021)
Vivienne Sze
Efficient Computing for AI and Robotics. VLSI-DAT (2020)
Yannan Nellie Wu, Vivienne Sze, Joel S. Emer
An Architecture-Level Energy and Area Estimator for Processing-In-Memory Accelerator Designs. ISPASS (2020)
Soumya Sudhakar, Sertac Karaman, Vivienne Sze
Balancing Actuation and Computing Energy in Motion Planning. ICRA (2020)
Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Vivienne Sze, Thomas Heldt
Measuring Saccade Latency Using Smartphone Cameras. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk Englund
Freely scalable and reconfigurable optical hardware for deep learning. CoRR (2020)
James Noraky, Vivienne Sze
Depth Map Estimation of Dynamic Scenes Using Prior Depth Information. CoRR (2020)
Zhengdong Zhang, Theia Henderson, Sertac Karaman, Vivienne Sze
FSMI: Fast computation of Shannon mutual information for information-theoretic mapping. Int. J. Robotics Res. 39 (9) (2020)
Theia Henderson, Vivienne Sze, Sertac Karaman
An Efficient and Continuous Approach to Information-Theoretic Exploration. ICRA (2020)
James Noraky, Vivienne Sze
Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging. IEEE Trans. Circuits Syst. Video Technol. 30 (6) (2020)
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. ICRA (2019)
Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze
FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping. CoRR (2019)
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. CoRR (2019)
Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE J. Solid State Circuits 54 (4) (2019)
Tien-Ju Yang, Vivienne Sze
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. CoRR (2019)
Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs. ICCAD (2019)
Peter Zhi Xuan Li, Zhengdong Zhang, Sertac Karaman, Vivienne Sze
High-Throughput Computation of Shannon Mutual Information on Chip. Robotics: Science and Systems (2019)
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
DeeperLab: Single-Shot Image Parser. CoRR (2019)
Zhengdong Zhang, Trevor Henderson, Vivienne Sze, Sertac Karaman
FSMI: Fast Computation of Shannon Mutual Information for Information-Theoretic Mapping. ICRA (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. 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 M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
SysML: The New Frontier of Machine Learning Systems. CoRR (2019)
Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
James Noraky, Charles Mathy, Alan Cheng, Vivienne Sze
Low Power Adaptive Time-of-Flight Imaging for Multiple Rigid Objects. ICIP (2019)
Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. VLSI Circuits (2018)
Mehul Tikekar, Vivienne Sze, Anantha P. Chandrakasan
A Fully Integrated Energy-Efficient H.265/HEVC Decoder With eDRAM for Wearable Devices. IEEE J. Solid State Circuits 53 (8) (2018)
Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Vivienne Sze, Hartwig Adam
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. CoRR (2018)
Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
Hardware for machine learning: Challenges and opportunities. CICC (2018)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. CoRR (2018)
James Noraky, Vivienne Sze
Depth Estimation of Non-Rigid Objects for Time-Of-Flight Imaging. ICIP (2018)
Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Thomas Heldt, Vivienne Sze
Enabling Saccade Latency Measurements with Consumer-Grade Cameras. ICIP (2018)
Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. CoRR (2018)
Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. ECCV (10) (2018)
Vivienne Sze, Alison J. Burdett, Sonia Leon, Rikky Muller, Farhana Sheikh, Yildiz Sinangil, Trudy Stetzler, Ingrid Verbauwhede, Alice Wang, Rabia Tugce Yazicigil
EE2: Workshop on circuits for social good. ISSCC (2018)
Gladynel Saavedra-Peña, Hsin-Yu Lai, Vivienne Sze, Thomas Heldt
Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices. EMBC (2018)
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE 105 (12) (2017)
James Noraky, Vivienne Sze
Low power depth estimation for time-of-flight imaging. ICIP (2017)
Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang
Hardware for machine learning: Challenges and opportunities. CICC (2017)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR (2017)
Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach. Robotics: Science and Systems (2017)
Amr Suleiman, Zhengdong Zhang, Vivienne Sze
A 58.6 mW 30 Frames/s Real-Time Programmable Multiobject Detection Accelerator With Deformable Parts Models on Full HD 1920×1080 Videos. IEEE J. Solid State Circuits 52 (3) (2017)
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR (2017)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators. IEEE Micro 37 (3) (2017)
Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
A method to estimate the energy consumption of deep neural networks. ACSSC (2017)
Zhengdong Zhang, Vivienne Sze
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos. CVPR Workshops (2017)
Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits 52 (1) (2017)
Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper). ISCAS (2017)
Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR (2017)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. ISCA (2016)
Amr Suleiman, Zhengdong Zhang, Vivienne Sze
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps. CoRR (2016)
Zhengdong Zhang, Vivienne Sze
FAST: Free Adaptive Super-Resolution via Transfer for Compressed Videos. CoRR (2016)
Amr Suleiman, Vivienne Sze
An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support. J. Signal Process. Syst. 84 (3) (2016)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR (2016)
Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
Hardware for Machine Learning: Challenges and Opportunities. CoRR (2016)
Amr Suleiman, Zhengdong Zhang, Vivienne Sze
A 58.6mW real-time programmable object detector with multi-scale multi-object support using deformable parts model on 1920×1080 video at 30fps. VLSI Circuits (2016)
Jens-Rainer Ohm, Gary J. Sullivan, Vivienne Sze, Thomas Wiegand, Madhukar Budagavi
Introduction to the Special Issue on HEVC Extensions and Efficient HEVC Implementations. IEEE Trans. Circuits Syst. Video Technol. 26 (1) (2016)
Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. ISSCC (2016)
Zhengdong Zhang, Vivienne Sze
Rotate intra block copy for still image coding. ICIP (2015)
Yu-Hsin Chen, Vivienne Sze
A Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-Tier Applications. IEEE Trans. Circuits Syst. Video Technol. 25 (5) (2015)
Yu-Hsin Chen, Vivienne Sze
A 2014 Mbin/s deeply pipelined CABAC decoder for HEVC. ICIP (2014)
Amr Suleiman, Vivienne Sze
Energy-efficient HOG-based object detection at 1080HD 60 fps with multi-scale support. SiPS (2014)
Mehul Tikekar, Chao-Tsung Huang, Chiraag Juvekar, Vivienne Sze, Anantha P. Chandrakasan
A 249-Mpixel/s HEVC Video-Decoder Chip for 4K Ultra-HD Applications. IEEE J. Solid State Circuits 49 (1) (2014)
Mehul Tikekar, Chao-Tsung Huang, Vivienne Sze, Anantha P. Chandrakasan
Energy and area-efficient hardware implementation of HEVC inverse transform and dequantization. ICIP (2014)
Vivienne Sze, Madhukar Budagavi
A comparison of CABAC throughput for HEVC/H.265 VS. AVC/H.264. SiPS (2013)
Chao-Tsung Huang, Mehul Tikekar, Chiraag Juvekar, Vivienne Sze, Anantha P. Chandrakasan
A 249Mpixel/s HEVC video-decoder chip for Quad Full HD applications. ISSCC (2013)
Madhukar Budagavi, Arild Fuldseth, Gisle Bjøntegaard, Vivienne Sze, Mangesh Sadafale
Core Transform Design in the High Efficiency Video Coding (HEVC) Standard. IEEE J. Sel. Top. Signal Process. 7 (6) (2013)
Mahmut E. Sinangil, Vivienne Sze, Minhua Zhou, Anantha P. Chandrakasan
Cost and Coding Efficient Motion Estimation Design Considerations for High Efficiency Video Coding (HEVC) Standard. IEEE J. Sel. Top. Signal Process. 7 (6) (2013)
Vivienne Sze, Anantha P. Chandrakasan
Joint Algorithm-Architecture Optimization of CABAC. J. Signal Process. Syst. 69 (3) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vivienne Sze