MohammadHossein AskariHemmat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | BMVC | DeepliteRT: Computer Vision at the Edge. | Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori |
| 2023 | CVPR | DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. | Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Lonardon |
| 2023 | ISCAS | Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. | MohammadHossein AskariHemmat, Tho Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Grkaynak, Luca Benini, Franois Leduc-Primeau, Yvon Savaria, Jean-Pierre David |
| 2021 | AAAI | Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. | Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene |
| 2021 | ISCAS | RISC-V Barrel Processor for Deep Neural Network Acceleration. | MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David |
| 2020 | FCCM | RISC-V Barrel Processor for Accelerator Control. | MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David |
| 2019 | MICCAI | U-Net Fixed-Point Quantization for Medical Image Segmentation. | MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David |