Vivienne Sze - RankMe

134 papers A* 13A 3B 21C 2Misc 3Journal 67Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast and Fusiest: An Optimal Fusion-Aware Mapper for Accelerator Modeling and Evaluation. CoRR Tanner Andrulis, Michael Gilbert, Vivienne Sze, Joel S. Emer
2026	J	`jnl`	Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping. CoRR Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2026	J	`jnl`	The Turbo-Charged Mapper: Fast and Optimal Mapping for Accelerator Modeling and Evaluation. CoRR Michael Gilbert, Tanner Andrulis, Vivienne Sze, Joel S. Emer
2025	J	`jnl`	A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Comput. David Irwin, Prashant J. Shenoy, Mohammad Hajiesmaili, Walid A. Hanafy, Jimi Oke, Ramesh K. Sitaraman, Yuvraj Agarwal, Geoffrey J. Gordon, Zico Kolter, Deepak Rajagopal, Mani Srivastava, Vivienne Sze, Priya L. Donti, Andrew A. Chien, John R. Birge, Ali Hortaçsu, Line Roald
2025	J	`jnl`	DecTrain: Deciding When to Train a Monocular Depth DNN Online. IEEE Robotics Autom. Lett. Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman, Vivienne Sze
2025	J	`jnl`	GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians. IEEE Robotics Autom. Lett. Dasong Gao, Peter Zhi Xuan Li, Vivienne Sze, Sertac Karaman
2024	B	`conf`	Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. ISPASS Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
2024	J	`jnl`	Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. CoRR Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze
2024	B	`conf`	CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. ISPASS Tanner Andrulis, Joel S. Emer, Vivienne Sze
2024	J	`jnl`	CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. CoRR Tanner Andrulis, Joel S. Emer, Vivienne Sze
2024	B	`conf`	ClearDepth: Addressing Depth Distortions Caused By Eyelashes For Accurate Geometric Gaze Estimation On Mobile Devices. ICIP Jamie Koerner, Vivienne Sze
2024	J	`jnl`	DecTrain: Deciding When to Train a DNN Online. CoRR Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman, Vivienne Sze
2024	J	`jnl`	GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians. CoRR Dasong Gao, Peter Zhi Xuan Li, Vivienne Sze, Sertac Karaman
2024	J	`jnl`	GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. IEEE Trans. Robotics Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2024	Misc	`conf`	Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
2024	J	`jnl`	LoopTree: Exploring the Fused-Layer Dataflow Accelerator Design Space. IEEE Trans. Circuits Syst. Artif. Intell. Michael Gilbert, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
2024	J	`jnl`	LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space. CoRR Michael Gilbert, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
2024	J	`jnl`	Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design. CoRR Tanner Andrulis, Ruicong Chen, Hae-Seung Lee, Joel S. Emer, Vivienne Sze
2023	J	`jnl`	Data Centers on Wheels: Emissions From Computing Onboard Autonomous Vehicles. IEEE Micro Soumya Sudhakar, Vivienne Sze, Sertac Karaman
2023	J	`jnl`	GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. CoRR Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2023	A*	`conf`	HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023	J	`jnl`	HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. CoRR Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023	J	`jnl`	Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Hsin-Yu Lai, Charles G. Sodini, Vivienne Sze, Thomas Heldt
2023	B	`conf`	LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators. ISPASS Michael Gilbert, Yannan Nellie Wu, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2023	A*	`conf`	RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! ISCA Tanner Andrulis, Joel S. Emer, Vivienne Sze
2023	J	`jnl`	RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! CoRR Tanner Andrulis, Joel S. Emer, Vivienne Sze
2023	A*	`conf`	Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. MICRO Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
2023	J	`jnl`	Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. CoRR Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
2023	J	`jnl`	Unleashing the Power of Deep Learning. Commun. ACM Vivienne Sze
2022	J	`jnl`	App-Based Saccade Latency and Directional Error Determination Across the Adult Age Spectrum. IEEE Trans. Biomed. Eng. Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Thomas Heldt, Vivienne Sze
2022	J	`jnl`	Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR 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
2022	J	`jnl`	Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. CoRR Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2022	J	`jnl`	Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
2022	A*	`conf`	Memory-Efficient Gaussian Fitting for Depth Images in Real Time. ICRA Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2022	A*	`conf`	Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. MICRO Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2022	J	`jnl`	Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling. CoRR Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2022	A*	`conf`	Uncertainty from Motion for DNN Monocular Depth Estimation. ICRA Soumya Sudhakar, Vivienne Sze, Sertac Karaman
2021	B	`conf`	Architecture-Level Energy Estimation for Heterogeneous Computing Systems. ISPASS Francis Wang, Yannan Nellie Wu, Matthew E. Woicik, Joel S. Emer, Vivienne Sze
2021	B	`conf`	Domain-Specific Language Abstractions for Compression. DCC Jessica Ray, Ajay Brahmakshatriya, Richard Wang, Shoaib Kamil, Albert Reuther, Vivienne Sze, Saman P. Amarasinghe
2021	A	`conf`	Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. IROS Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
2021	A*	`conf`	NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. CVPR Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021	J	`jnl`	NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. CoRR Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021	—	`conf`	SE4: ICs in PandemICs. ISSCC 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
2021	J	`jnl`	Searching for Efficient Multi-Stage Vision Transformers. CoRR Yi-Lun Liao, Sertac Karaman, Vivienne Sze
2021	—	`conf`	Session 9 Overview: ML Processors From Cloud to Edge Machine Learning Subcommittee. ISSCC Sukhwan Lim, Luca Benini, Vivienne Sze
2021	B	`conf`	Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators. ISPASS Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer
2020	B	`conf`	An Architecture-Level Energy and Area Estimator for Processing-In-Memory Accelerator Designs. ISPASS Yannan Nellie Wu, Vivienne Sze, Joel S. Emer
2020	A*	`conf`	An Efficient and Continuous Approach to Information-Theoretic Exploration. ICRA Theia Henderson, Vivienne Sze, Sertac Karaman
2020	A*	`conf`	Balancing Actuation and Computing Energy in Motion Planning. ICRA Soumya Sudhakar, Sertac Karaman, Vivienne Sze
2020	J	`jnl`	Depth Map Estimation of Dynamic Scenes Using Prior Depth Information. CoRR James Noraky, Vivienne Sze
2020	—	`conf`	Efficient Computing for AI and Robotics. VLSI-DAT Vivienne Sze
2020	—	`book`	Efficient Processing of Deep Neural Networks Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2020	J	`jnl`	FSMI: Fast computation of Shannon mutual information for information-theoretic mapping. Int. J. Robotics Res. Zhengdong Zhang, Theia Henderson, Sertac Karaman, Vivienne Sze
2020	J	`jnl`	Freely scalable and reconfigurable optical hardware for deep learning. CoRR Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund
2020	J	`jnl`	Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging. IEEE Trans. Circuits Syst. Video Technol. James Noraky, Vivienne Sze
2020	J	`jnl`	Measuring Saccade Latency Using Smartphone Cameras. IEEE J. Biomed. Health Informatics Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Vivienne Sze, Thomas Heldt
2020	—	`ed.`	Proceedings of the Third Conference on Machine Learning and Systems, MLSys 2020, Austin, TX, USA, March 2-4, 2020 MLSys Inderjit S. Dhillon, Dimitris S. Papailiopoulos, Vivienne Sze
2019	A	`conf`	Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs. ICCAD Yannan Nellie Wu, Joel S. Emer, Vivienne Sze
2019	J	`jnl`	DeeperLab: Single-Shot Image Parser. CoRR Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
2019	J	`jnl`	Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators. CoRR Tien-Ju Yang, Vivienne Sze
2019	J	`jnl`	Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze
2019	A*	`conf`	FSMI: Fast Computation of Shannon Mutual Information for Information-Theoretic Mapping. ICRA Zhengdong Zhang, Trevor Henderson, Vivienne Sze, Sertac Karaman
2019	J	`jnl`	FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping. CoRR Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze
2019	A*	`conf`	FastDepth: Fast Monocular Depth Estimation on Embedded Systems. ICRA Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
2019	J	`jnl`	FastDepth: Fast Monocular Depth Estimation on Embedded Systems. CoRR Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
2019	—	`conf`	High-Throughput Computation of Shannon Mutual Information on Chip. Robotics: Science and Systems Peter Zhi Xuan Li, Zhengdong Zhang, Sertac Karaman, Vivienne Sze
2019	B	`conf`	Low Power Adaptive Time-of-Flight Imaging for Multiple Rigid Objects. ICIP James Noraky, Charles Mathy, Alan Cheng, Vivienne Sze
2019	J	`jnl`	Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE J. Solid State Circuits Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. 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 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 Randall 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
2018	J	`jnl`	A Fully Integrated Energy-Efficient H.265/HEVC Decoder With eDRAM for Wearable Devices. IEEE J. Solid State Circuits Mehul Tikekar, Vivienne Sze, Anantha P. Chandrakasan
2018	B	`conf`	Depth Estimation of Non-Rigid Objects for Time-Of-Flight Imaging. ICIP James Noraky, Vivienne Sze
2018	—	`conf`	Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices. EMBC Gladynel Saavedra-Peña, Hsin-Yu Lai, Vivienne Sze, Thomas Heldt
2018	—	`conf`	EE2: Workshop on circuits for social good. ISSCC Vivienne Sze, Alison J. Burdett, Sonia Leon, Rikky Muller, Farhana Sheikh, Yildiz Sinangil, Trudy Stetzler, Ingrid Verbauwhede, Alice Wang, Rabia Tugce Yazicigil
2018	B	`conf`	Enabling Saccade Latency Measurements with Consumer-Grade Cameras. ICIP Hsin-Yu Lai, Gladynel Saavedra-Peña, Charles G. Sodini, Thomas Heldt, Vivienne Sze
2018	J	`jnl`	Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. CoRR Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2018	—	`conf`	Hardware for machine learning: Challenges and opportunities. CICC Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
2018	J	`jnl`	Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. CoRR Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2018	—	`conf`	Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. VLSI Circuits Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2018	—	`conf`	NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. ECCV (10) Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam
2018	J	`jnl`	NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. CoRR Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Vivienne Sze, Hartwig Adam
2017	J	`jnl`	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 Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2017	Misc	`conf`	A method to estimate the energy consumption of deep neural networks. ACSSC Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2017	A*	`conf`	Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
2017	J	`jnl`	Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2017	J	`jnl`	Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
2017	J	`jnl`	Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
2017	—	`conf`	FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos. CVPR Workshops Zhengdong Zhang, Vivienne Sze
2017	—	`conf`	Hardware for machine learning: Challenges and opportunities. CICC Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang
2017	B	`conf`	Low power depth estimation for time-of-flight imaging. ICIP James Noraky, Vivienne Sze
2017	J	`jnl`	Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2017	C	`conf`	Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper). ISCAS Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2017	J	`jnl`	Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators. IEEE Micro Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2017	—	`conf`	Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach. Robotics: Science and Systems Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman
2016	—	`conf`	14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. ISSCC Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
2016	J	`jnl`	A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps. CoRR Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2016	—	`conf`	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 Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2016	J	`jnl`	An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support. J. Signal Process. Syst. Amr Suleiman, Vivienne Sze
2016	J	`jnl`	Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
2016	A*	`conf`	Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. ISCA Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
2016	J	`jnl`	FAST: Free Adaptive Super-Resolution via Transfer for Compressed Videos. CoRR Zhengdong Zhang, Vivienne Sze
2016	J	`jnl`	Hardware for Machine Learning: Challenges and Opportunities. CoRR Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
2016	J	`jnl`	Introduction to the Special Issue on HEVC Extensions and Efficient HEVC Implementations. IEEE Trans. Circuits Syst. Video Technol. Jens-Rainer Ohm, Gary J. Sullivan, Vivienne Sze, Thomas Wiegand, Madhukar Budagavi
2015	J	`jnl`	A Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-Tier Applications. IEEE Trans. Circuits Syst. Video Technol. Yu-Hsin Chen, Vivienne Sze
2015	B	`conf`	Rotate intra block copy for still image coding. ICIP Zhengdong Zhang, Vivienne Sze
2014	B	`conf`	A 2014 Mbin/s deeply pipelined CABAC decoder for HEVC. ICIP Yu-Hsin Chen, Vivienne Sze
2014	J	`jnl`	A 249-Mpixel/s HEVC Video-Decoder Chip for 4K Ultra-HD Applications. IEEE J. Solid State Circuits Mehul Tikekar, Chao-Tsung Huang, Chiraag Juvekar, Vivienne Sze, Anantha P. Chandrakasan
2014	—	`ch.`	Decoder Hardware Architecture for HEVC. High Efficiency Video Coding Mehul Tikekar, Chao-Tsung Huang, Chiraag Juvekar, Vivienne Sze, Anantha P. Chandrakasan
2014	B	`conf`	Energy and area-efficient hardware implementation of HEVC inverse transform and dequantization. ICIP Mehul Tikekar, Chao-Tsung Huang, Vivienne Sze, Anantha P. Chandrakasan
2014	—	`conf`	Energy-efficient HOG-based object detection at 1080HD 60 fps with multi-scale support. SiPS Amr Suleiman, Vivienne Sze
2014	—	`ch.`	Entropy Coding in HEVC. High Efficiency Video Coding Vivienne Sze, Detlev Marpe
2014	—	`book`	High Efficiency Video Coding (HEVC), Algorithms and Architectures Vivienne Sze, Madhukar Budagavi, Gary J. Sullivan
2013	—	`conf`	A 249Mpixel/s HEVC video-decoder chip for Quad Full HD applications. ISSCC Chao-Tsung Huang, Mehul Tikekar, Chiraag Juvekar, Vivienne Sze, Anantha P. Chandrakasan
2013	—	`conf`	A comparison of CABAC throughput for HEVC/H.265 VS. AVC/H.264. SiPS Vivienne Sze, Madhukar Budagavi
2013	J	`jnl`	Core Transform Design in the High Efficiency Video Coding (HEVC) Standard. IEEE J. Sel. Top. Signal Process. Madhukar Budagavi, Arild Fuldseth, Gisle Bjøntegaard, Vivienne Sze, Mangesh Sadafale
2013	J	`jnl`	Cost and Coding Efficient Motion Estimation Design Considerations for High Efficiency Video Coding (HEVC) Standard. IEEE J. Sel. Top. Signal Process. Mahmut E. Sinangil, Vivienne Sze, Minhua Zhou, Anantha P. Chandrakasan
2012	J	`jnl`	A Highly Parallel and Scalable CABAC Decoder for Next Generation Video Coding. IEEE J. Solid State Circuits Vivienne Sze, Anantha P. Chandrakasan
2012	B	`conf`	Hardware-aware motion estimation search algorithm development for high-efficiency video coding (HEVC) standard. ICIP Mahmut E. Sinangil, Anantha P. Chandrakasan, Vivienne Sze, Minhua Zhou
2012	J	`jnl`	High Throughput CABAC Entropy Coding in HEVC. IEEE Trans. Circuits Syst. Video Technol. Vivienne Sze, Madhukar Budagavi
2012	J	`jnl`	Joint Algorithm-Architecture Optimization of CABAC. J. Signal Process. Syst. Vivienne Sze, Anantha P. Chandrakasan
2012	B	`conf`	Memory cost vs. coding efficiency trade-offs for HEVC motion estimation engine. ICIP Mahmut E. Sinangil, Anantha P. Chandrakasan, Vivienne Sze, Minhua Zhou
2012	C	`conf`	Parallelization of CABAC transform coefficient coding for HEVC. PCS Vivienne Sze, Madhukar Budagavi
2012	B	`conf`	Unified forward+inverse transform architecture for HEVC. ICIP Madhukar Budagavi, Vivienne Sze
2011	—	`conf`	A highly parallel and scalable CABAC decoder for next generation video coding. ISSCC Vivienne Sze, Anantha P. Chandrakasan
2011	B	`conf`	HEVC ALF decode complexity analysis and reduction. ICIP Madhukar Budagavi, Vivienne Sze, Minhua Zhou
2011	Misc	`conf`	Joint algorithm-architecture optimization of CABAC to increase speed and reduce area cost. ICASSP Vivienne Sze, Anantha P. Chandrakasan
2010	—	`—`	Parallel algorithms and architectures for low power video decoding. Vivienne Sze
2010	J	`jnl`	Technologies for Ultradynamic Voltage Scaling. Proc. IEEE Anantha P. Chandrakasan, Denis C. Daly, Daniel F. Finchelstein, Joyce Kwong, Yogesh K. Ramadass, Mahmut E. Sinangil, Vivienne Sze, Naveen Verma
2009	J	`jnl`	A 0.7-V 1.8-mW H.264/AVC 720p Video Decoder. IEEE J. Solid State Circuits Vivienne Sze, Daniel F. Finchelstein, Mahmut E. Sinangil, Anantha P. Chandrakasan
2009	B	`conf`	A high throughput CABAC algorithm using syntax element partitioning. ICIP Vivienne Sze, Anantha P. Chandrakasan
2009	J	`jnl`	Low-Power Impulse UWB Architectures and Circuits. Proc. IEEE Anantha P. Chandrakasan, Fred S. Lee, David D. Wentzloff, Vivienne Sze, Brian P. Ginsburg, Patrick P. Mercier, Denis C. Daly, Raúl Blázquez
2009	J	`jnl`	Multicore Processing and Efficient On-Chip Caching for H.264 and Future Video Decoders. IEEE Trans. Circuits Syst. Video Technol. Daniel F. Finchelstein, Vivienne Sze, Anantha P. Chandrakasan
2008	B	`conf`	Parallel CABAC for low power video coding. ICIP Vivienne Sze, Anantha P. Chandrakasan, Madhukar Budagavi, Minhua Zhou
2007	A	`conf`	A 0.4-V UWB baseband processor. ISLPED Vivienne Sze, Anantha P. Chandrakasan
2006	—	`conf`	An Energy Efficient Sub-Threshold Baseband Processor Architecture for Pulsed Ultra-Wideband Communications. ICASSP (3) Vivienne Sze, Raúl Blázquez, Manish Bhardwaj, Anantha P. Chandrakasan