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2020 – today
- 2024
[c8]Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo:
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR 2024- [i11]Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo:
On the Perturbed States for Transformed Input-robust Reinforcement Learning. CoRR abs/2408.00023 (2024) - [i10]Haeyong Kang, Chang D. Yoo:
Soft-TransFormers for Continual Learning. CoRR abs/2411.16073 (2024) - 2023
- [j2]Haeyong Kang, Chang D. Yoo:
Skew Class-Balanced Re-Weighting for Unbiased Scene Graph Generation. Mach. Learn. Knowl. Extr. 5(1): 287-303 (2023) - [c7]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 - [i9]Haeyong Kang, Chang D. Yoo:
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation. CoRR abs/2301.00351 (2023) - [i8]Haeyong Kang, Chang D. Yoo, Yongcheon Na:
Maximum margin learning of t-SPNs for cell classification with filtered input. CoRR abs/2303.09065 (2023) - [i7]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR abs/2303.14962 (2023) - [i6]Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Progressive Neural Representation for Sequential Video Compilation. CoRR abs/2306.11305 (2023) - [i5]Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR abs/2312.11973 (2023) - 2022
- [c6]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: 10734-10750 - [i4]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR abs/2206.05380 (2022) - [i3]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 abs/2209.07529 (2022) - 2021
- [c5]Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. AAAI 2021: 2514-2522 - [c4]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI 2021: 2701-2709 - [c3]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets With Maximum Margin Loss. ICIP 2021: 1269-1273 - [c2]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: 3173-3177 - [i2]Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. CoRR abs/2102.00831 (2021) - 2020
- [i1]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. CoRR abs/2012.10150 (2020)
2010 – 2019
- 2019
- [c1]Haeyong Kang, Gwangsu Kim, Chang Dong Yoo:
Few-Shot Associative Domain Adaptation for Surface Normal Estimation. ICIP 2019: 4619-4623 - 2016
- [j1]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): 130-139 (2016)
Coauthor Index
aka: Chang D. Yoo
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