Seokchan Song

19 papers C 1Journal 7Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
IRIS: An Energy-Efficient Spatial Computing SoC for Real-Time Interactive Rendering and Modeling With Surface-Aware 3-D Gaussian Splatting.
IEEE J. Solid State Circuits
Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim, Hoi-Jun Yoo
2025 — conf
IRIS: A 8.55 mJ/frame Spatial Computing SoC for Real-time Interactable-Rendering and Surface-aware-Modeling with 3D Gaussian Splatting.
HCS
Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim, Hoi-Jun Yoo
2025 — conf
IRIS: A 8.55mJ/frame Spatial Computing SoC for Interactable Rendering and Surface-Aware Modeling with 3D Gaussian Splatting.
ISSCC
Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim, Hoi-Jun Yoo
2025 J jnl
NeRF-Navi: An Energy-Efficient NeRF 3-D Path Planning Processor With Reconfigurable Approximate/Accurate Bit Offloading Core.
IEEE J. Solid State Circuits
Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Gwangtae Park, Sangyeob Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo
2024 — conf
20.8 Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing.
ISSCC
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 C conf
A 3.55 mJ/frame Energy-efficient Mixed-Transformer based Semantic Segmentation Accelerator for Mobile Devices.
ISCAS
Jongjun Park, Seryeong Kim, Wonhoon Park, Seokchan Song, Hoi-Jun Yoo
2024 — conf
A Low-power and Real-time Neural-Rendering Dense SLAM Processor with 3-Level Hierarchical Sparsity Exploitation.
COOL CHIPS
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 J jnl
An Artificial-Intelligence-Based SLAM Processor With Scene-Adaptive Sampling and Hybrid NeRF Model Training Acceleration.
IEEE Trans. Circuits Syst. Artif. Intell.
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 J jnl
An Energy-Efficient CNN/Transformer Hybrid Neural Semantic Segmentation Processor With Chunk-Based Bit Plane Data Compression and Similarity-Based Token-Level Skipping Exploitation.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jongjun Park, Seryeong Kim, Wonhoon Park, Seokchan Song, Hoi-Jun Yoo
2024 — conf
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
Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Sangyeob Kim, Gwangtae Park, Soyeon Kim, Hoi-Jun Yoo
2024 — conf
Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration.
HCS
Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2023 — conf
GPPU: A 330.4-μJ/ task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation.
VLSI Technology and Circuits
Seokchan Song, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Gwangtae Park, Hoi-Jun Yoo
2022 — conf
A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation.
AICAS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 J jnl
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection.
IEEE Trans. Circuits Syst. II Express Briefs
Seokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, Hoi-Jun Yoo
2022 — conf
A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation.
AICAS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 J jnl
A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity Exploitation.
IEEE Micro
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 — conf
HNPU-V2: A 46.6 FPS DNN Training Processor for Real-World Environmental Adaptation based Robust Object Detection on Mobile Devices.
HCS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2021 — conf
An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation.
COOL CHIPS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2021 J jnl
HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching.
IEEE J. Solid State Circuits
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo