Haeyong Kang

According to our database, Haeyong Kang authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

Continual Learning: Forget-Free Winning Subnetworks for Video Representations.

Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

2024

Soft-TransFormers for Continual Learning.

Haeyong Kang, Chang D. Yoo

CoRR, 2024

On the Perturbed States for Transformed Input-robust Reinforcement Learning.

Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo

CoRR, 2024

Progressive Fourier Neural Representation for Sequential Video Compilation.

Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation.

Haeyong Kang, Chang D. Yoo

Mach. Learn. Knowl. Extr., March, 2023

Progressive Neural Representation for Sequential Video Compilation.

Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo

CoRR, 2023

Forget-free Continual Learning with Soft-Winning SubNetworks.

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

CoRR, 2023

On the Soft-Subnetwork for Few-Shot Class Incremental Learning.

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Forget-free Continual Learning with Winning Subnetworks.

Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo

Proceedings of the International Conference on Machine Learning, 2022

2021

Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection.

Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Imbalanced Datasets With Maximum Margin Loss.

Haeyong Kang, Thang Vu, Chang D. Yoo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

SCNet: Training Inference Sample Consistency for Instance Segmentation.

Thang Vu, Haeyong Kang, Chang D. Yoo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Semantic Grouping Network for Video Captioning.

Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Few-Shot Associative Domain Adaptation for Surface Normal Estimation.

Haeyong Kang, Gwangsu Kim, Chang Dong Yoo

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

2016

Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input.

Haeyong Kang, Chang D. Yoo, Yongcheon Na

IEEE J. Sel. Top. Signal Process., 2016