Cheonjun Park

According to our database, Cheonjun Park authored at least 7 papers between 2019 and 2026.

Collaborative distances:

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

2026

ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT.

Hyunchan Moon, Cheonjun Park, Steven L. Waslander

CoRR, February, 2026

2025

Adversarial Purification via Super-Resolution and Diffusion.

Mincheol Park, Cheonjun Park, Seungseop Lim, Mijin Koo, Hyunwuk Lee, Won Woo Ro, Suhyun Kim

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

WINS: Winograd Structured Pruning for Fast Winograd Convolution.

Cheonjun Park, Hyun Jae Oh, Mincheol Park, Hyunchan Moon, Minsik Kim, Suhyun Kim, Myung Kuk Yoon, Won Woo Ro

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

2024

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism.

Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

REPrune: Channel Pruning via Kernel Representative Selection.

Mincheol Park, Dongjin Kim, Cheonjun Park, Yuna Park, Gyeong Eun Gong, Won Woo Ro, Suhyun Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism.

Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019

Efficient Dilated-Winograd Convolutional Neural Networks.

Minsik Kim, Cheonjun Park, Sungjun Kim, Taeyoung Hong, Won Woo Ro

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019