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2020 – today
- 2024
[j1]Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, Clarence W. de Silva:
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context. Trans. Mach. Learn. Res. 2024 (2024)- [i9]Wonho Bae, Junhyug Noh, Danica J. Sutherland:
Generalized Coverage for More Robust Low-Budget Active Learning. CoRR abs/2407.12212 (2024) - 2023
- [c9]Seungyoun Shin, Wonho Bae, Junhyug Noh
, Sungjoon Choi:
Towards Explainable Computer Vision Methods via Uncertainty Activation Map. ACPR (1) 2023: 1-14 - [c8]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. ICLR 2023 - [c7]Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland:
How to prepare your task head for finetuning. ICLR 2023 - [c6]Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland:
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel. ICML 2023: 25061-25081 - [i8]Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira:
Meta Temporal Point Processes. CoRR abs/2301.12023 (2023) - [i7]Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland:
How to prepare your task head for finetuning. CoRR abs/2302.05779 (2023) - [i6]Wonho Bae, Jing Wang, Danica J. Sutherland:
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling. CoRR abs/2311.02879 (2023) - [i5]Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira:
AdaFlood: Adaptive Flood Regularization. CoRR abs/2311.02891 (2023) - 2022
- [c5]Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim:
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. ECCV (31) 2022: 312-329 - [c4]Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland:
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. IJCAI 2022: 2805-2811 - [c3]Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland:
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels. NeurIPS 2022 - [i4]Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland:
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. CoRR abs/2205.01233 (2022) - [i3]Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland:
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels. CoRR abs/2206.12569 (2022) - [i2]Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim:
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. CoRR abs/2208.07576 (2022) - 2020
- [c2]Wonho Bae, Junhyug Noh, Gunhee Kim:
Rethinking Class Activation Mapping for Weakly Supervised Object Localization. ECCV (15) 2020: 618-634 - [i1]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020)
2010 – 2019
- 2019
- [c1]Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim:
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. ICCV 2019: 9724-9733
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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