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Ahmet Soyyigit

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2020 – today

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2024
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Ahmet Soyyigit, Shuochao Yao, Heechul Yun:
VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4045-4056 (2024)
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  - journals/corr/abs-2409-11542
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Ahmet Soyyigit, Shuochao Yao, Heechul Yun:
VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks. CoRR abs/2409.11542 (2024)
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  - journals/corr/abs-2410-07447
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Mohammed Misbah Zarrar, Qitao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun:
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing. CoRR abs/2410.07447 (2024)
2022
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Ahmet Soyyigit, Shuochao Yao, Heechul Yun:
Anytime-Lidar: Deadline-aware 3D Object Detection. RTCSA 2022: 31-40
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  - journals/corr/abs-2208-12181
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Ahmet Soyyigit, Shuochao Yao, Heechul Yun:
Anytime-Lidar: Deadline-aware 3D Object Detection. CoRR abs/2208.12181 (2022)
2020
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  - conf/iolts/KunduSHB20
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Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. IOLTS 2020: 1-4
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  - journals/corr/abs-2006-03616
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Shamik Kundu, Ahmet Soyyigit, Khaza Anuarul Hoque, Kanad Basu:
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. CoRR abs/2006.03616 (2020)

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