Seungbin Kim

Orcid: 0000-0002-6826-3793

According to our database1, Seungbin Kim authored at least 16 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
C<sup>2</sup>IM-NN: A Low-Power 3D Point Clouds Matching Processor With 1D-CNN Prediction and CAM-Based In-Memory k-NN Searching.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2025

A 701.7 TOPS/W Compute-in-Memory Processor With Time-Domain Computing for Spiking Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2025

An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots.
IEEE J. Solid State Circuits, January, 2025

A Mobile Semantic Lidar SLAM Processor With Artificial-Intelligence-Based 3-D Perception and Spatiotemporal-Aware Computing.
IEEE Micro, 2025

A 0.74 μJ/decision and 22.59 TOPS/W Keyword Spotting CIM Processor with Short-Current-Free Multi-level ReRAM and Adaptive-Decision-Level Nonlinear ADC.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

A 46 TOPS/W In-/Near-Memory Computing Processor for Large Language Model with Extended Sparse Attention.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024
A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

An Energy-Efficient, Unified CNN Accelerator for Real-Time Multi-Object Semantic Segmentation for Autonomous Vehicle.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

20.6 LSPU: A Fully Integrated Real-Time LiDAR-SLAM SoC with Point-Neural-Network Segmentation and Multi-Level kNN Acceleration.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

LSPU: A 20.7 ms Low-Latency Point Neural Network-Based 3D Perception and Semantic LiDAR SLAM System-on-Chip for Autonomous Driving System.
Proceedings of the 36th IEEE Hot Chips Symposium, 2024

A Low-power and Real-time Semantic LiDAR SLAM Processor with Point Neural Network Segmentation and kNN Acceleration for Mobile Robots.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2024

A 273.48 TOPS/W and 1.58 Mb/mm<sup>2</sup> Analog-Digital Hybrid CIM Processor with Transpose Ternary-eDRAM Bitcell.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2024

A Low-power 3D Point Clouds Matching Processor with 1D-CNN Prediction and CAM-based In-memory kNN Searching.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
A Ternary Neural Network Computing-in-Memory Processor With 16T1C Bitcell Architecture.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2023

2022
An Energy-Efficient CNN Accelerator for Multi-object Real-Time Semantic Segmentation in Autonomous Vehicle.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022


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