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Wonho Bae
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Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection
J Noh, W Bae, W Lee, J Seo, G Kim
International Conference on Computer Vision (ICCV), 9725-9734, 2019
1942019
Rethinking Class Activation Mapping for Weakly Supervised Object Localization
W Bae, J Noh, G Kim
European Conference on Computer Vision (ECCV), 618-634, 2020
1162020
Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea
J Noh, KD Yoo, W Bae, JS Lee, K Kim, JH Cho, H Lee, DK Kim, CS Lim, ...
Scientific reports 10 (1), 7470, 2020
212020
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
J Seo, W Bae, DJ Sutherland, J Noh, D Kim
European Conference on Computer Vision (ECCV), 312-329, 2022
172022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
MA Mohamadi, W Bae, DJ Sutherland
Neural Information Processing Systems (NeurIPS), 2022
162022
Meta Temporal Point Processes
W Bae, MO Ahmed, F Tung, GL Oliveira
International Conference on Learning Representations (ICLR), 2023
132023
A fast, well-founded approximation to the empirical neural tangent kernel
MA Mohamadi, W Bae, DJ Sutherland
International Conference on Machine Learning (ICML), 25061-25081, 2023
102023
How to prepare your task head for finetuning
Y Ren, S Guo, W Bae, DJ Sutherland
International Conference on Learning Representations (ICLR), 2023
92023
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
W Bae, J Noh, MJ Asadabadi, DJ Sutherland
International Joint Conference on Artificial Intelligence (IJCAI), 2022
52022
LID 2020: The learning from imperfect data challenge results
Y Wei, S Zheng, MM Cheng, H Zhao, L Wang, E Ding, Y Yang, A Torralba, ...
The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020
32020
Revisiting Class Activation Mapping for Learning from Imperfect Data
W Bae, J Noh, J Seo, G Kim
The 2020 Learning from Imperfect Data (LID) Challenge - CVPR Workshop, 2020
22020
Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach
KD Yoo, J Noh, W Bae, JN An, HJ Oh, H Rhee, EY Seong, SH Baek, ...
Scientific Reports 13 (1), 4605, 2023
12023
AdaFlood: Adaptive Flood Regularization
W Bae, Y Ren, MO Ahmed, F Tung, DJ Sutherland, GL Oliveira
arXiv preprint arXiv:2311.02891, 2023
2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
W Bae, J Wang, DJ Sutherland
arXiv preprint arXiv:2311.02879, 2023
2023
Towards Explainable Computer Vision Methods via Uncertainty Activation Map
S Shin, W Bae, J Noh, S Choi
Asian Conference on Pattern Recognition (ACPR), 1-14, 2023
2023
Neighborhood-Informed Diffusion Model for Source-Free Domain Adaptation: Retrieving Source Ground Truth from Target Query's Neighbors
J Wang, W Bae, J Chen, J Noh
2023
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