Real-time sign language fingerspelling recognition using convolutional neural networks from depth map. - Byeongkeun Kang; Subarna Tripathi; Truong Q. Nguyen (ACPR, 2015)

Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map. - Byeongkeun Kang; Yeejin Lee; Truong Q. Nguyen (ISVC (1), 2015)

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution. - Yuanyuan Wu 001; Xiaohai He; Byeongkeun Kang; Truong Q. Nguyen (CoRR, 2015)

Hand Segmentation for Hand-Object Interaction from Depth map. - Byeongkeun Kang; Kar-Han Tan; Hung-Shuo Tai; Daniel Tretter; Truong Q. Nguyen (CoRR, 2016)

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution. - Yuanyuan Wu 001; Xiaohai He; Byeongkeun Kang; Haiying Song; Truong Q. Nguyen (IEEE Signal Process. Lett., 2016)

LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems. - Subarna Tripathi; Gokce Dane; Byeongkeun Kang; Vasudev Bhaskaran; Truong Q. Nguyen (CVPR Workshops, 2017)

Hand segmentation for hand-object interaction from depth map. - Byeongkeun Kang; Kar-Han Tan; Nan Jiang; Hung-Shuo Tai; Daniel Treffer; Truong Q. Nguyen (GlobalSIP, 2017)

A computational framework for driver's visual attention using a fully convolutional architecture. - Ashish Tawari; Byeongkeun Kang (Intelligent Vehicles Symposium, 2017)

Accurate and Efficient Video De-Fencing Using Convolutional Neural Networks and Temporal Information. - Chen Du; Byeongkeun Kang; Zheng Xu; Ji Dai; Truong Q. Nguyen (ICME, 2018)

Depth-Adaptive Deep Neural Network for Semantic Segmentation. - Byeongkeun Kang; Yeejin Lee; Truong Q. Nguyen (IEEE Trans. Multim., 2018)

Learning Robust Representations in Random Forest and Deep Neural Networks for Semantic Segmentation. - Byeongkeun Kang (2018)

Incremental Class Discovery for Semantic Segmentation With RGBD Sensing. - Yoshikatsu Nakajima; Byeongkeun Kang; Hideo Saito 001; Kris Kitani (ICCV, 2019)

Toward Joint Image Generation and Compression using Generative Adversarial Networks. - Byeongkeun Kang; Subarna Tripathi; Truong Q. Nguyen (CoRR, 2019)

Random Forest With Learned Representations for Semantic Segmentation. - Byeongkeun Kang; Truong Q. Nguyen (IEEE Trans. Image Process., 2019)

Generating Images in Compressed Domain Using Generative Adversarial Networks. - Byeongkeun Kang; Subarna Tripathi; Truong Q. Nguyen (IEEE Access, 2020)

High-Resolution Neural Network for Driver Visual Attention Prediction. - Byeongkeun Kang; Yeejin Lee (Sensors, 2020)

Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching. - Taeha Kim; Seongyeop Yang; Byeongkeun Kang; Heekyung Lee; Jeongil Seo; Yeejin Lee (IEEE Access, 2021)

A Driver's Visual Attention Prediction Using Optical Flow. - Byeongkeun Kang; Yeejin Lee (Sensors, 2021)

Image-to-Image Translation-Based Data Augmentation for Robust EV Charging Inlet Detection. - Yeonjun Bang; Yeejin Lee; Byeongkeun Kang (IEEE Robotics Autom. Lett., 2022)

Sampling Agnostic Feature Representation for Long-Term Person Re-Identification. - Seongyeop Yang; Byeongkeun Kang; Yeejin Lee (IEEE Trans. Image Process., 2022)

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization. - Sejin Park 002; Taehyung Lee 003; Yeejin Lee; Byeongkeun Kang (ACM Multimedia, 2023)

Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization. - David Minkwan Kim; Sinhae Cha; Byeongkeun Kang (VCIP, 2023)

Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization. - David Kim; Sinhae Cha; Byeongkeun Kang (CoRR, 2023)

Human Perception-Oriented Enhancement and Smoothing for Perceptual Video Coding. - Byeongkeun Kang; Wonha Kim (IEEE Trans. Broadcast., 2023)

MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation. - Duc Dang Trung Tran; Byeongkeun Kang; Yeejin Lee (ACM Multimedia, 2024)

Improving weakly-supervised object localization using adversarial erasing and pseudo label. - Byeongkeun Kang; Sinhae Cha; Yeejin Lee (Eng. Appl. Artif. Intell., 2024)

Enhancing long-term person re-identification using global, local body part, and head streams. - Duy Tran Thanh; Yeejin Lee; Byeongkeun Kang (Neurocomputing, 2024)

Pixel-level clustering network for unsupervised image segmentation. - Cuong Manh Hoang; Byeongkeun Kang (Eng. Appl. Artif. Intell., 2024)

Generalized Class Discovery in Instance Segmentation. - Cuong Manh Hoang; Yeejin Lee; Byeongkeun Kang (AAAI, 2025)

Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration. - Hyeonseok Kim; Byeongkeun Kang; Yeejin Lee (AAAI, 2025)

Unsupervised contrastive learning using out-of-distribution data for long-tailed dataset. - Cuong Manh Hoang; Yeejin Lee; Byeongkeun Kang (Neurocomputing, 2025)

Content-aware preserving image generation. - Giang H. Le; Anh Q. Nguyen; Byeongkeun Kang; Yeejin Lee (Neurocomputing, 2025)

Completely weakly supervised class-incremental learning for semantic segmentation. - David Minkwan Kim; Soeun Lee; Byeongkeun Kang (Pattern Recognit. Lett., 2025)