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2020 – today
- 2024
[c10]Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, Hoi-Jun Yoo:
A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices. COOL CHIPS 2024: 1-3- [c9]Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, Hoi-Jun Yoo:
NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices. HCS 2024: 1 - [c8]Jiwon Choi, Wooyoung Jo, Seongyon Hong, Beomseok Kwon, Wonhoon Park, Hoi-Jun Yoo:
A 28.6 mJ/iter Stable Diffusion Processor for Text-to-Image Generation with Patch Similarity-based Sparsity Augmentation and Text-based Mixed-Precision. ISCAS 2024: 1-5 - [c7]Jongjun Park, Seryeong Kim, Wonhoon Park, Seokchan Song, Hoi-Jun Yoo:
A 3.55 mJ/frame Energy-efficient Mixed-Transformer based Semantic Segmentation Accelerator for Mobile Devices. ISCAS 2024: 1-5 - [c6]Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Hoi-Jun Yoo:
20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture. ISSCC 2024: 372-374 - [c5]Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Sangyeob Kim, Gwangtae Park, Soyeon Kim, Hoi-Jun Yoo:
NeRF-Navi: A 93.6-202.9µJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading Core. VLSI Technology and Circuits 2024: 1-2 - [i1]Jiwon Choi, Wooyoung Jo, Seongyon Hong, Beomseok Kwon, Wonhoon Park, Hoi-Jun Yoo:
A 28.6 mJ/iter Stable Diffusion Processor for Text-to-Image Generation with Patch Similarity-based Sparsity Augmentation and Text-based Mixed-Precision. CoRR abs/2403.04982 (2024) - 2023
- [j2]Dongseok Im
, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. IEEE J. Solid State Circuits 58(1): 177-188 (2023) - [j1]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. IEEE Micro 43(3): 74-82 (2023) - [c4]Jiwon Choi, Sangyeob Kim, Wonhoon Park, Wooyoung Jo, Hoi-Jun Yoo:
A Resource-Efficient Super-Resolution FPGA Processor with Heterogeneous CNN and SNN Core Architecture. A-SSCC 2023: 1-3 - [c3]Wonhoon Park, Junha Ryu, Sangjin Kim, Soyeon Um, Wooyoung Jo, Sangyoeb Kim, Hoi-Jun Yoo:
A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN Acceleration. ISCAS 2023: 1-4 - 2022
- [c2]Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. COOL CHIPS 2022: 1-3 - [c1]Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo:
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip. HCS 2022: 1-25
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