Projects

Recent Projects

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

Data Augmentation for robust LiDAR semantic segmentation by Selective Jittering and Learnable Point Drop.

Completed Projects

Improving low-shot image generation with GANs via pretraining with synthetic datasets consisting of primitive shapes such as circles, rectangle,s and lines.

Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

Weakly supervised semantic segmentation technique for robustness against the choice of the global threshold.

Few-shot Font Generation

Reconstructing full font library only with few reference samples, e.g., 8.

Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation technique for convolutional neural networks

Evaluating Weakly Supervised Object Localization Right

Fair and realistic evaluation framework for weakly supervised object localization

GridMix: Strong regularization through local context mapping

Regularization technique for convolutional neural networks

Resembled GANs

Simultaneously generating two domain images with similar attributes

Attention-based Dropout Layer for Weakly Supervised Object Localization

Localizing full extent of the object without pixel-level annotations

Unsupervised Object Localization

Unsupervised object localization through self-supervised approach

https://sites.google.com/site/cvgyonsei/projects/Thumbnail_ICML.png

Improved Training of GAN with Representative Feature

Face Relighting using GAN

Editing and Generating Facial Images using GAN

Editing the attributes of existing images or generating images with desired attributes simultaneously through single training procedure

Rigid and Non-rigid Motion Artifact Reduction in X-ray CT

CT motion artifact reduction using attention module in real-time

Depth Reconstruction of Translucent Objects from single ToF camera

Fully automated, 1-2 shot depth correction with only Kinect V2 depth camera and a Resnet

Inverse Lighting

Extracting the lighting information from a pair of color and depth image

Face Recognition

Low-shot learning: How to train your network when there is not enough data?

Recommender System With Visual Feature

Employing visual features of movie posters to enhance the performance of recommender system

Environment Map From a Single Image

Predicting the surrounding environment map from a single image

3D Motion Artifact Compensation in CT with Depth Camera

A new motion-free CT system to handle personalized motions using depth cameras

https://sites.google.com/site/cvgyonsei/projects/transform_photograph

Aesthetic Image Enhancement

Depth Reconstruction of Translucent Objects

Reconstructing a three dimensional (3-D) translucent object using a single time-of-flight depth camera with simple user marks

Depth Image Enhancement using Perceptual Texture Priors

A perceptual-based technique by restoring the geometric details

Face Detection

Finding and classifying Face

Semantic Aware Neural Style Transfer

A style transfer network with semantic awareness

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