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2020 – today
- 2024
[j3]Jeongyun Kim
, Myung-Hwan Jeon, Sangwoo Jung, Wooseong Yang, Minwoo Jung, Jaeho Shin, Ayoung Kim:
TRansPose: Large-scale multispectral dataset for transparent object. Int. J. Robotics Res. 43(6): 731-738 (2024)- [j2]Sangwoo Jung, Hyesu Jang, Minwoo Jung, Ayoung Kim, Myung-Hwan Jeon:
Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration. Intell. Serv. Robotics 17(2): 167-179 (2024) - [c9]Jeongyoon Wie, Sangwoo Jung, Taeryoung Seol, Geunha Kim, Sehwan Lee, Homin Jang, Samhwan Kim, Yeonjae Shin, Jae Eun Jang, Jaeha Kung, Arup K. George, Junghyup Lee:
A 3.3-to-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS. CICC 2024: 1-2 - [c8]Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung:
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. DAC 2024: 259:1-259:6 - [i6]Sangwoo Jung, Hyesu Jang, Minwoo Jung, Ayoung Kim, Myung-Hwan Jeon:
Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration. CoRR abs/2403.18358 (2024) - [i5]Sangwoo Jung, Wooseong Yang, Ayoung Kim:
Co-RaL: Complementary Radar-Leg Odometry with 4-DoF Optimization and Rolling Contact. CoRR abs/2407.05820 (2024) - [i4]Sanghyun Hahn, Seunghun Oh, Minwoo Jung, Ayoung Kim, Sangwoo Jung:
Quantitative 3D Map Accuracy Evaluation Hardware and Algorithm for LiDAR(-Inertial) SLAM. CoRR abs/2408.09727 (2024) - [i3]Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung:
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. CoRR abs/2409.05902 (2024) - 2023
- [j1]Minwoo Jung, Sangwoo Jung, Ayoung Kim:
Asynchronous Multiple LiDAR-Inertial Odometry Using Point-Wise Inter-LiDAR Uncertainty Propagation. IEEE Robotics Autom. Lett. 8(7): 4211-4218 (2023) - [i2]Minwoo Jung, Sangwoo Jung, Ayoung Kim:
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation. CoRR abs/2305.16792 (2023) - [i1]Jeongyun Kim, Myung-Hwan Jeon, Sangwoo Jung, Wooseong Yang, Minwoo Jung, Jaeho Shin, Ayoung Kim:
TRansPose: Large-Scale Multispectral Dataset for Transparent Object. CoRR abs/2307.05016 (2023) - 2022
- [c7]Sangwoo Jung, Jaehyun Lee, Huiseong Noh, Jong-Hyeok Yoon, Jaeha Kung:
DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays. AICAS 2022: 70-73 - [c6]Seungsang Yun, Minwoo Jung, Jeongyun Kim, Sangwoo Jung, Younghun Cho, Myung-Hwan Jeon, Giseop Kim, Ayoung Kim:
STheReO: Stereo Thermal Dataset for Research in Odometry and Mapping. IROS 2022: 3857-3864
2010 – 2019
- 2019
- [c5]Sangwoo Jung, Ki-Il Kim:
Experimental Comparison of Pure Flooding and Its Variants on Raspberry Pi in Small Scale Ad Hoc Networks. COMPSAC (1) 2019: 882-883 - [c4]Sangwoo Jung, Ki-Il Kim, Bongsoo Roh, Jae-Hyun Ham:
Load Balancing Algorithm for Multiple UAVs Relayed Tactical Ad Hoc Networks. COMPSAC (1) 2019: 944-945 - [c3]Sangwoo Jung, Seungsik Moon, Youngjoo Lee, Jaeha Kung:
WMixNet: An Energy-Scalable and Computationally Lightweight Deep Learning Accelerator. ISLPED 2019: 1-6 - [c2]Sangwoo Jung, Jaeha Kung:
Noise Tolerance of an Energy-Scalable Deep Learning Model with Two Extreme Bit-Precisions. ISOCC 2019: 71-72 - [c1]Sangwoo Jung, Beomsu Kim, Ki-Il Kim, Bongsoo Roh, Jae-Hyun Ham:
Implementation of AODV-UU on Linux 4.15 Kernel. MASS Workshops 2019: 160-161
Coauthor Index
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