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2020 – today
- 2024
[i9]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 abs/2404.11769 (2024)- [i8]Sudhakar Sah, Darshan C. Ganji, Matteo Grimaldi, Ravish Kumar, Alexander Hoffman, Honnesh Rohmetra, Ehsan Saboori:
MCUBench: A Benchmark of Tiny Object Detectors on MCUs. CoRR abs/2409.18866 (2024) - [i7]Sudhakar Sah, Ravish Kumar, Honnesh Rohmetra, Ehsan Saboori:
Token Pruning using a Lightweight Background Aware Vision Transformer. CoRR abs/2410.09324 (2024) - [i6]Sudhakar Sah, Ravish Kumar, Darshan C. Ganji, Ehsan Saboori:
ActNAS : Generating Efficient YOLO Models using Activation NAS. CoRR abs/2410.10887 (2024) - 2023
- [c8]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. BMVC 2023: 889-892 - [c7]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: 4656-4664 - [c6]Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar, Saptarshi Mitra, Shahrukh Khan, Sudhakar Sah:
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems. ICCV (Workshops) 2023: 1161-1170 - [c5]Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah Deeplite:
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity. ICCV (Workshops) 2023: 1171-1180 - [i5]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 abs/2304.09049 (2023) - [i4]Ivan Lazarevich, Matteo Grimaldi, Ravish Kumar, Saptarshi Mitra, Shahrukh Khan, Sudhakar Sah:
YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems. CoRR abs/2307.13901 (2023) - [i3]Matteo Grimaldi, Darshan C. Ganji, Ivan Lazarevich, Sudhakar Sah:
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity. CoRR abs/2309.06626 (2023) - [i2]Saad Ashfaq, Alexander Hoffman, Saptarshi Mitra, Sudhakar Sah, MohammadHossein AskariHemmat, Ehsan Saboori:
DeepliteRT: Computer Vision at the Edge. CoRR abs/2309.10878 (2023) - 2022
- [i1]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 abs/2207.08820 (2022)
2010 – 2019
- 2019
- [c4]Jin-hwan Oh, Sudhakar Sah, Jihoon Kim, Yoori Kim, Jeonghwa Lee, Wooseung Lee, Myeongsoo Shin, Jaeyon Hwang, Seongwon Kim:
Hang Out with the Language Assistant. ICMI 2019: 499-500 - 2014
- [j1]Sudhakar Sah, Vinay G. Vaidya:
New Approach to Speedup Dynamic Program Parallelization Analysis. Int. J. Softw. Innov. 2(4): 28-47 (2014) - [c3]Sudhakar Sah, Vinay G. Vaidya:
Dependency aware ahead of time static scheduler for multicore. ICIS 2014: 337-342 - 2012
- [c2]Sudhakar Sah, Jan Vanek
, YoungJun Roh, Ratul Wasnik:
GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method. ICIAR (1) 2012: 224-233 - 2011
- [c1]Sudhakar Sah, YoungJun Roh, KyoungSeop Chang, DaeHwa Jeong:
Phase Map Generation for Phase Shift Moire Using CUDA. PDCAT 2011: 140-145
Coauthor Index
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last updated on 2024-11-25 22:40 CET by the dblp team
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