by RLE at MIT | Mar 5, 2020 | RLE Recent Papers
Yannan Nellie Wu, Vivienne Sze, Joel S. Emer PDF Abstract: Processing-in-memory (PIM) deep neural network (DNN) accelerators, which aim to improve energy/area efficiency of DNN processing by integrating computation into data storage, have gained popularity in...
by RLE at MIT | May 21, 2019 | RLE Recent Papers
J. Noraky, C. Mathy, A. Cheng, V. Sze [ PDF ] Abstract: Time-of-flight (TOF) cameras are becoming increasingly popular for many mobile applications. To obtain accurate depth maps, TOF cameras must emit many pulses of light, which consumes a lot of...
by RLE at MIT | May 21, 2019 | RLE Recent Papers
P. Z. X. Li*, Z. Zhang*, S. Karaman, V. Sze [ paper PDF | supplementary material PDF ] Abstract: Exploration problems are fundamental to robotics, arising in various domains, ranging from search and rescue to space exploration. Many effective...
by RLE at MIT | May 2, 2019 | RLE Recent Papers
Hsin-Yu Lai, Gladynel Saavedra-Pena, Student Member, Charles G. Sodini, Vivienne Sze, Thomas Heldt doi: 10.1109/EMBC.2018.8512281 Abstract: Accurate quantification of neurodegenerative disease progression is an ongoing challenge that complicates efforts to...
by RLE at MIT | May 2, 2019 | RLE Recent Papers
James Noraky, Vivienne Sze doi: 10.1109/ICIP.2017.8296655 Abstract: Depth sensing is used in a variety of applications that range from augmented reality to robotics. One way to measure depth is with a time-of-flight (TOF) camera, which obtains depth by emitting...