Search Results for author: Byeongkeun Kang

Found 16 papers, 8 papers with code

Pixel-Level Clustering Network for Unsupervised Image Segmentation

no code implementations24 Oct 2023 Cuong Manh Hoang, Byeongkeun Kang

Furthermore, we present an extension of the proposed method for unsupervised semantic segmentation.

Autonomous Driving Clustering +7

Sampling Agnostic Feature Representation for Long-Term Person Re-identification

1 code implementation20 Sep 2022 Seongyeop Yang, Byeongkeun Kang, Yeejin Lee

Although remarkable progress has been made in the re-identification problem, it is still a challenging problem due to appearance variations of the same person as well as other people of similar appearance.

Person Re-Identification

Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection

1 code implementation10 Dec 2021 Yeonjun Bang, Yeejin Lee, Byeongkeun Kang

Towards robust EV charging inlet detection, we propose a new dataset (EVCI dataset) and a novel data augmentation method that is based on image-to-image translation where typical image-to-image translation methods synthesize a new image in a different domain given an image.

Data Augmentation Image-to-Image Translation +1

Random Forest with Learned Representations for Semantic Segmentation

no code implementations23 Jan 2019 Byeongkeun Kang, Truong Q. Nguyen

In this work, we present a random forest framework that learns the weights, shapes, and sparsities of feature representations for real-time semantic segmentation.

Hand Segmentation Real-Time Semantic Segmentation +1

Toward Joint Image Generation and Compression using Generative Adversarial Networks

no code implementations23 Jan 2019 Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen

The proposed method is a promising baseline method for joint image generation and compression using generative adversarial networks.

Generative Adversarial Network Image Compression +2

Accurate and efficient video de-fencing using convolutional neural networks and temporal information

1 code implementation28 Jun 2018 Chen Du, Byeongkeun Kang, Zheng Xu, Ji Dai, Truong Nguyen

To overcome these problems, we propose a novel method consisting of segmentation using convolutional neural networks and a fast/robust recovery algorithm.

object-detection Object Detection +2

Depth Adaptive Deep Neural Network for Semantic Segmentation

1 code implementation5 Aug 2017 Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen

To overcome this challenge, we develop a neural network which is able to adapt the receptive field not only for each layer but also for each neuron at the spatial location.

Hand Segmentation Segmentation +1

Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map

1 code implementation4 Oct 2015 Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen

In our system, we track hand articulations by minimizing discrepancy between depth map from sensor and computer-generated hand model.

Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map

1 code implementation10 Sep 2015 Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen

We train CNNs for the classification of 31 alphabets and numbers using a subset of collected depth data from multiple subjects.

Sign Language Recognition

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution

no code implementations30 Jun 2015 Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, Truong Q. Nguyen

This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence.

Motion Estimation

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