MohammadHossein AskariHemmat

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Medical Image Segmentation

Computer Vision

Top Venues

Publications

MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane Askari Hemmat, Ivan Lazarevich, Alexander Hoffman, Sudhakar Sah, Ehsan Saboori, Yvon Savaria, Jean-Pierre David
QGen: On the Ability to Generalize in Quantization Aware Training. CoRR (2024)
Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori
DeepliteRT: Computer Vision at the Edge. CoRR (2023)
MohammadHossein AskariHemmat, Theo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Gürkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria, Jean-Pierre David
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. CoRR (2023)
Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. NEWCAS (2023)
MohammadHossein AskariHemmat, Théo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Gürkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria, Jean-Pierre David
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. ISCAS (2023)
Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CVPR Workshops (2023)
Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CoRR (2023)
Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori
DeepliteRT: Computer Vision at the Edge. BMVC (2023)
Theo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. CoRR (2023)
MohammadHossein AskariHemmat, Reyhane Askari Hemmat, Alexander Hoffman, Ivan Lazarevich, Ehsan Saboori, Olivier Mastropietro, Yvon Savaria, Jean-Pierre David
QReg: On Regularization Effects of Quantization. CoRR (2022)
Saad Ashfaq, MohammadHossein AskariHemmat, Sudhakar Sah, Ehsan Saboori, Olivier Mastropietro, Alexander Hoffman
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime. CoRR (2022)
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. CoRR (2021)
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. AAAI (2021)
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David
RISC-V Barrel Processor for Deep Neural Network Acceleration. ISCAS (2021)
MohammadHossein AskariHemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria, Jean-Pierre David
RISC-V Barrel Processor for Accelerator Control. FCCM (2020)
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David
U-Net Fixed-Point Quantization for Medical Image Segmentation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI (2019)
MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David
U-Net Fixed-Point Quantization for Medical Image Segmentation. CoRR (2019)