by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
S. Sudhakar, V. Sze, S. Karaman, “Uncertainty from Motion for DNN Monocular Depth Estimation,” IEEE International Conference on Robotics and Automation (ICRA), May 2022. [ PDF ] Abstract: Deployment of deep neural networks (DNNs) for monocular depth...
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
H.-Y. Lai, G. Saavedra-Pena, C. G. Sodini, T. Heldt, V. Sze, “App-based saccade latency and directional error determination across the adult age spectrum,” IEEE Transactions on Biomedical Engineering (TBME), Vol. 69, No. 2, pp. 1029 – 1039, February 2022....
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
K. Gupta, P. Z. X. Li, S. Karaman, V. Sze, “Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021. [ PDF ] Abstract: Exploration...
by RLE at MIT | Nov 18, 2022 | RLE Recent Papers
T.-J. Yang, Y.-L. Liao, V. Sze, “NetAdaptV2: Efficient neural architecture search with fast super-network training and architecture optimization,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021. [ paper PDF |...
by RLE at MIT | Aug 4, 2021 | News Links
Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks. «more» Related Links: Professor Anantha Chandrakasan Energy-Efficient Circuits and Systems Group Professor Vivienne Sze...
