International Journal/Conference
International Journal/Conference
[C15] C. Hoang, Y. Lee, and B. Kang,
"Generalized Class Discovery in Instance Segmentation",
AAAI Conference on Artificial Intelligence (AAAI), 2025
[C14] H. Kim, B. Kang, and Y. Lee,
"Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-based Dynamic Calibration",
AAAI Conference on Artificial Intelligence (AAAI), 2025
[J17] C. Hoang, Y. Lee, and B. Kang,
"Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset",
Neurocomputing, 2025
[J16] D. Kim, S. Lee, and B. Kang,
"Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation",
Pattern Recognition Letters, 2025
[J15] G. Le, A. Nguyen, B. Kang, and Y. Lee,
"Content-Aware Preserving Image Generation",
Neurocomputing, 2025
[J14] B. Kang, S. Cha, and Y. Lee,
"Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label",
Engineering Applications of Artificial Intelligence (EAAI), 2024
[J13] C. Hoang and B. Kang,
"Pixel-Level Clustering Network for Unsupervised Image Segmentation",
Engineering Applications of Artificial Intelligence (EAAI), 2024
[J12] D. Tran, Y. Lee, and B. Kang,
"Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams",
Neurocomputing, 2024
[C13] T. Duc, B. Kang, and Y. Lee,
"Multi-Scale Twin-Attention for 3D Instance Segmentation",
ACM Multimedia Conference (MM), 2024
[C12] S. Park*, T. Lee*, Y. Lee, and B. Kang, (*equal contribution)
"FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization",
ACM Multimedia Conference (MM), 2023
[J11] B. Kang and W. Kim,
"Human Perception-Oriented Enhancement and Smoothing for Perceptual Video Coding",
IEEE Transactions on Broadcasting (TBC), 2023
[C11] D. Kim, S. Cha, and B. Kang,
"Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization",
IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023
[J10] Y. Bang, Y. Lee, and B. Kang,
"Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection",
IEEE Robotics and Automation Letters (with ICRA 2022 presentation), 2022
[J9] S. Yang, B. Kang, and Y. Lee,
"Sampling Agnostic Feature Representation for Long-Term Person Re-identification",
IEEE Transactions on Image Processing (TIP), 2022
[J8] Y. Lee and B. Kang,
"Where to Look: Visual Attention Estimation on Road Scene Video for Safe Driving",
IEIE Transactions on Smart Processing and Computing, 2022
[C10] S. Park, T. Lee, Y. Lee, and B. Kang,
"Person Trespassing Detection for Surveillance Camera System",
ICESI, 2022
[C9] T. Kim, Y. Bang, B. Kang, and Y. Lee,
"Electric Vehicle Charging Inlet 3D Position Detection for Autonomous Charging Robot",
ICESI, 2022
[J7] T. Kim, S. Yang, B. Kang, H. Lee, J. Seo, and Y. Lee,
"Segmentation-Based Seam Cutting for High-Resolution 360-degree Video Stitching",
IEEE Access, 2021
[J6] B. Kang and Y. Lee,
"A Driver’s Visual Attention Prediction Using Optical Flow",
Sensors, 2021
[J5] B. Kang, S. Tripathi, and T. Nguyen,
"Generating Images in Compressed Domain using Generative Adversarial Networks",
IEEE Access, 2020
[J4] B. Kang and Y. Lee,
"High Resolution Neural Network for Driver's Visual Attention Prediction",
Sensors, 2020
[J3] B. Kang and T. Nguyen,
"Random Forest with Learned Representations for Semantic Segmentation",
IEEE Transactions on Image Processing (TIP), 2019
[C8] Y. Nakajima, B. Kang, H. Saito, and K. Kitani,
"Incremental Class Discovery for Semantic Segmentation with RGBD Sensing",
International Conference on Computer Vision (ICCV), 2019
[J2] B. Kang, Y. Lee, and T. Nguyen,
"Depth Adaptive Deep Neural Network for Semantic Segmentation",
IEEE Transactions on Multimedia (TMM), 2018
[C7] C. Du, B. Kang, Z. Xu, J. Dai, and T. Nguyen,
"Accurate and Efficient Video De-fencing using Convolutional Neural Networks and Temporal Information",
IEEE International Conference on Multimedia and Expo (ICME), 2018
[C6] B. Kang, K.-H. Tan, N. Jiang, H.-S. Tai, D. Tretter, and T. Nguyen,
"Hand Segmentation for Hand-Object Interaction from Depth map",
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
[C5] S. Tripathi, G. Dane, B. Kang, V. Bhaskaran, and T. Nguyen,
"LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection for Embedded Systems",
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
[C4] S. Tripathi*, B. Kang*, G. Dane, and T. Nguyen,
"Low-Complexity Object Detection with Deep Convolutional Neural Network for Embedded Systems",
Proc. SPIE, 2017
[C3] A. Tawari and B. Kang,
"A Computational Framework for Driver's Visual Attention Using A Fully Convolutional Architecture",
IEEE Intelligent Vehicles Symposium (IV), 2017
[J1] Y. Wu, X. He, B. Kang, H. Song, and T. Nguyen,
"Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution",
IEEE Signal Processing Letters, 2016
[C2] B. Kang, Y. Lee, and T. Nguyen,
"Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map",
Advances in Visual Computing, 2015
[C1] B. Kang, S. Tripathi, and T. Nguyen,
"Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map",
IAPR Asian Conference on Pattern Recognition (ACPR), 2015