In progress

[1] B. Kang, Y. Lee, and T. Nguyen, "Depth Adaptive Deep Neural Network for Semantic Segmentation"

Journals

[1] 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 [Web page] [IEEE] [arXiv] [BibTex]

Conferences

[7] 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 [BibTex]

[6] 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 [arXiv] [BibTex]

[5] S. Tripathi*, B. Kang*, G. Dane, and T. Nguyen, "Low-Complexity Object Detection with Deep Convolutional Neural Network for Embedded Systems," Proc. SPIE, 2017 [BibTex]

[4] A. Tawari and B. Kang, "A Computational Framework for Driver's Visual Attention Using A Fully Convolutional Architecture," IEEE Intelligent Vehicles Symposium, 2017 [IEEE] [BibTex]

[3] B. Kang, Y. Lee, and T. Nguyen, "Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map," Advances in Visual Computing, 2015 [Springer] [arXiv] [GitHub] [BibTex]

[2] 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 [IEEE] [arXiv] [GitHub] [Trained model] [BibTex]

[1] B. Kang, M. Kim, T. Hong, and D. Kim, "Facial Muscles 3D Modeling using Ultra-short Echo-time (UTE) Magnetic Resonance Imaging (MRI)," IEEK Summer Conference 2013

Others

[2] B. Kang, S. Tripathi, and T. Nguyen, "Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map," Research Expo 2016, Library Research Prize (Best Literature Review Award)

[1] B. Kang et al., "Development of Quantitative Analytics for Parkinson's Disease using RGB-D camera," 2015 UC San Diego Frontiers of Innovation Scholars Program Inaugural Symposium