Seongmin Park

According to our database, Seongmin Park authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control.

Seongmin Park, Hyungmin Kim, Sangwoo Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control.

Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi

CoRR, 2024

Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning.

Seongmin Park, Hyungmin Kim, Hyunhak Kim, Jungwook Choi

IEEE Access, 2024

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving.

Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection.

Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment.

Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices.

Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi

CoRR, 2023

Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers.

Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization.

Seongmin Park, Beomseok Kwon, Jieun Lim, Kyuyoung Sim, Taeho Kim, Jungwook Choi

CoRR, 2022

Regularizing Activation Distribution for Ultra Low-bit Quantization-Aware Training of MobileNets.

Seongmin Park, Wonyong Sung, Jungwook Choi

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

NN-LUT: neural approximation of non-linear operations for efficient transformer inference.

Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022