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Research & Project Page

YoungJoon Yoo, CLOVA AI Research, NAVER




Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network

StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch


Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling

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

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Concentrated-Comprehensive Convolutions for Lightweight Semantic Segmentation


Pose Transforming Network: Learning to Disentangle Human Posture in Variational Auto-encoded Latent Space

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

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning


Superpixel-based Semantic Segmentation Trained by Statistical Process Control

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

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

Motion Interaction Field for Detection of Abnormal Interactions


Visual Path Prediction in Complex Scenes with Crowded Moving Objects


Two-stage Online Inference model for Traffic Pattern Analysis and Anomaly Detection