Haeyong Kang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Imbalanced Datasets

Incremental Learning Algorithm

Top Venues

Publications

Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR (2024)
Haeyong Kang, Chang D. Yoo
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR (2023)
Haeyong Kang, Chang D. Yoo, Yongcheon Na
Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR (2023)
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Progressive Neural Representation for Sequential Video Compilation. CoRR (2023)
Haeyong Kang, Chang D. Yoo
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR (2023)
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Winning Subnetworks. ICML (2022)
Haeyong Kang, Thang Vu, Chang D. Yoo
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR (2022)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR (2022)
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
Semantic Grouping Network for Video Captioning. AAAI (2021)
Thang Vu, Haeyong Kang, Chang D. Yoo
SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI (2021)
Haeyong Kang, Thang Vu, Chang D. Yoo
Learning Imbalanced Datasets With Maximum Margin Loss. ICIP (2021)
Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo
Semantic Grouping Network for Video Captioning. CoRR (2021)
Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. ICIP (2021)
Thang Vu, Haeyong Kang, Chang D. Yoo
SCNet: Training Inference Sample Consistency for Instance Segmentation. CoRR (2020)
Haeyong Kang, Gwangsu Kim, Chang Dong Yoo
Few-Shot Associative Domain Adaptation for Surface Normal Estimation. ICIP (2019)
Haeyong Kang, Chang D. Yoo, Yongcheon Na
Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input. IEEE J. Sel. Top. Signal Process. 10 (1) (2016)