Y. Yoo

发表

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model

K. M. Yi, J. Choi, Hawook Jeong, 2016 .

Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

Y. Yoo, Joonhyun Jeong, Beomyoung Kim, 2022, ArXiv.

Neural Architecture Search with Loss Flatness-aware Measure

Dongyoon Han, Y. Yoo, Joonhyun Jeong, 2022 .

Two-stage online inference model for traffic pattern analysis and anomaly detection

K. M. Yi, J. Choi, Hawook Jeong, 2014, Machine Vision and Applications.

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Seong Joon Oh, Dongyoon Han, Sangdoo Yun, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Visual Path Prediction in Complex Scenes with Crowded Moving Objects

Jin Young Choi, Sangdoo Yun, Young Joon Yoo, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Features with Parameter-Free Layers

Dongyoon Han, Byeongho Heo, Y. Yoo, 2022, ICLR.

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network pdf

Dongyoon Han, Sangdoo Yun, Byeongho Heo, 2020, ArXiv.

Rethinking Channel Dimensions for Efficient Model Design

Dongyoon Han, Sangdoo Yun, Byeongho Heo, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards simultaneous clustering and motif-modeling for a large number of protein family

Tushar Sandhan, Jin Young Choi, Sun Kim, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition

Tushar Sandhan, Moonsub Byeon, Sangdoo Yun, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples

Jung-Woo Ha, YoungJoon Yoo, Jihwan Bang, 2020 .

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization pdf

Jung-Woo Ha, YoungJoon Yoo, Jihwan Bang, 2020, ArXiv.

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations

Taesup Moon, Sungmin Cha, Naeun Ko, 2021, 2106.11644.

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack pdf

Taesup Moon, Sungmin Cha, Naeun Ko, 2021, ArXiv.

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Jihwan Bang, Heesu Kim, Jung-Woo Ha, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning pdf

Taesup Moon, Young Joon Yoo, Sungmin Cha, 2021, NeurIPS.

FrostNet: Towards Quantization-Aware Network Architecture Search.

Y. Yoo, Taehoon Kim, Jihoon Yang, 2020 .

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

Jin Young Choi, Jongwon Choi, Sangdoo Yun, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Junmo Kim, Chae-Eun Rhee, Y. Yoo, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Action-Driven Visual Object Tracking With Deep Reinforcement Learning

Jin Young Choi, Jongwon Choi, Sangdoo Yun, 2018, IEEE Transactions on Neural Networks and Learning Systems.

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

Nojun Kwak, Young Joon Yoo, Hyojin Park, 2018, BMVC.

C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation

Dongyoon Han, Sangdoo Yun, Nojun Kwak, 2018 .

GeNAS: Neural Architecture Search with Better Generalization

Dongyoon Han, Y. Yoo, Joonhyun Jeong, 2023, IJCAI.

Observations on K-Image Expansion of Image-Mixing Augmentation

Jongwon Choi, Sangdoo Yun, Taesup Moon, 2021, IEEE Access.

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse pdf

Dongyoon Han, Sangdoo Yun, YoungJoon Yoo, 2019, ArXiv.

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

Nojun Kwak, Daesik Kim, Young Joon Yoo, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods pdf

Seong Joon Oh, Dongyoon Han, Sangdoo Yun, 2020, ArXiv.

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

Sangdoo Yun, Young Joon Yoo, Kimin Yun, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning

Jaeseok Choi, Nojun Kwak, Simyung Chang, 2017, ICPRAM.

Knowledge Sharing for Reinforcement Learning: Writing a BOOK pdf

Nojun Kwak, Simyung Chang, Young Joon Yoo, 2017, ArXiv.

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold

Yiannis Demiris, Hyung Jin Chang, Jin Young Choi, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Action-Driven Visual Object Tracking With Deep Reinforcement Learning

J. Choi, Jongwon Choi, Kimin Yun, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Superpixel-based semantic segmentation trained by statistical process control pdf

Nojun Kwak, Young Joon Yoo, Hyojin Park, 2017, BMVC.

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules pdf

Nojun Kwak, Young Joon Yoo, Lars Lowe Sjösund, 2019, ArXiv.