Hankyul Kwon
According to our database1,
Hankyul Kwon
authored at least 8 papers
between 2022 and 2024.
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Bibliography
2024
20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices.
Proceedings of the 36th IEEE Hot Chips Symposium, 2024
A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2024
2023
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation.
IEEE Micro, 2023
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC.
IEEE J. Solid State Circuits, 2023
A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip.
Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2022