Young Joon Yoo

Orcid: 0000-0001-8084-5422

According to our database1, Young Joon Yoo authored at least 48 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis.
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
Observations on K-Image Expansion of Image-Mixing Augmentation.
IEEE Access, 2023

GeNAS: Neural Architecture Search with Better Generalization.
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

Learning Features with Parameter-Free Layers.
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
Observations on K-image Expansion of Image-Mixing Augmentation for Classification.
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

Analysis of Electromagnetic Pulse Effects Under High-Power Microwave Sources.
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

Rethinking Channel Dimensions for Efficient Model Design.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rainbow Memory: Continual Learning With a Memory of Diverse Samples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.
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

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.
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

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse.
CoRR, 2019

Unpaired Sketch-to-Line Translation via Synthesis of Sketches.
Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning.
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
Action-Driven Visual Object Tracking With Deep Reinforcement Learning.
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

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation.
CoRR, 2018

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Motion interaction field for detection of abnormal interactions.
Mach. Vis. Appl., 2017

Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation.
CoRR, 2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK.
CoRR, 2017

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning.
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

Superpixel-based semantic segmentation trained by statistical process control.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Visual Path Prediction in Complex Scenes with Crowded Moving Objects.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Two-stage online inference model for traffic pattern analysis and anomaly detection.
Mach. Vis. Appl., 2014

Transfer Learning of Motion Patterns in Traffic Scene via Convex Optimization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Visual surveillance briefing system: Event-based video retrieval and summarization.
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


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