Young Joon Yoo
Orcid: 0000-0001-8084-5422
According to our database1,
Young Joon Yoo
authored at least 48 papers
between 2013 and 2024.
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Bibliography
2024
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting.
CoRR, 2024
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
CoRR, 2021
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack.
CoRR, 2021
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation.
CoRR, 2021
IEEE Access, 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
CoRR, 2020
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization.
CoRR, 2020
StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch.
CoRR, 2020
CoRR, 2020
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
2019
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder.
CoRR, 2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.
CoRR, 2019
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules.
CoRR, 2019
Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space.
Pattern Recognit. Lett., 2018
CoRR, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Mach. Vis. Appl., 2017
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation.
CoRR, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the British Machine Vision Conference 2017, 2017
2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2014
Mach. Vis. Appl., 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014
Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014
2013
Towards simultaneous clustering and motif-modeling for a large number of protein family.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013