2024

 

Connected and Autonomous Vehicles

  • S. Thornton and S. Dey, "Multi-modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments" to appear in IEEE Transactions on Vehicular Technology. See Full Publication 

 

2022

 

Connected and Autonomous Vehicles

  • S. Thornton, B. Flowers and S. Dey, "Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments," in IEEE Access, doi: 10.1109/ACCESS.2022.3228735. See Full Publication

 

2021

 

Connected and Autonomous Vehicles

  • J. Chen, S. Dey, L. Wang, N. Bi, P. Liu, "Multi-modal Fusion Enhanced Model for Driver's Facial Expression Recognition", 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021. See Full Publication

 

2020

 

Connected and Autonomous Vehicles

 

  • Song Wang, Jingqi Huang, Xinyu Zhang, Hyoil Kim, and Sujit Dey. 2020. X-Array: Approximating Omnidirectional Millimeter-Wave Coverage Using an Array of Phased Arrays. In Proceedings of The 26th Annual International Conference on Mobile Computing and Networking, London, United Kingdom, September 21–25, 2020 (MobiCom ’20), 14 pages. See Full Publication
  • Renjie Zhao, Timothy Woodford, Teng Wei, Kun Qian, and Xinyu Zhang. 2020. M-Cube: A Millimeter-Wave Massive MIMO Software Radio. In The 26th Annual International Conference on Mobile Computing and Networking (MobiCom ’20), September 21–25, 2020, London, United Kingdom. ACM, New York, NY, USA, 14 pages. See Full Publication
  • Song Wang, Jingqi Huang, and Xinyu Zhang. 2020. Demystifying MillimeterWave V2X: Towards Robust and Efficient Directional Connectivity Under High Mobility. In Proceedings of The 26th Annual International Conference on Mobile Computing and Networking, London, United Kingdom, September 21–25, 2020 (MobiCom ’20), 14 pages. See Full Publication
  • Kun Qian, Zhaoyuan He, and Xinyu Zhang. 2020. 3D Point Cloud Generation with Millimeter-Wave Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 111 (December 2020), 23 pages. See Full Publication
  • H. Yue, J. Liu, J. Yang, X. Sun, T. Q. Nguyen and F. Wu, " IENet: Internal and External Patch Matching ConvNet for Web Image Guided Denoising", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 30, Issue 11, pp. 3928-3942, November 2020. 
  • B. K. Kang, S. Tripathi and T. Nguyen, "Generating Images in Compressed Domain using Generative Adversarial Networks", IEEE Access, Vol. 8, pp. 180977-180991, 2020 
  • J. Dai, S. Jin, J. Zhang and T. Nguyen, “Boosting Feature Matching Accuracy with Pairwise Affine Estimation,”  IEEE Transactions on Image Processing, Vol. 29, pp. 8278-8291, 2020
  • Y. Ku, S. Sapra, S. Baidya, S. Dey, "State of Energy Prediction in Renewable Energy-driven Mobile Edge Computing using CNN-LSTM Networks", to appear in IEEE Green Energy and Smart Systems Conference (IGESSC 2020), Long Beach, CA, USA, Nov. 2020. See Full Publication
  • S. Thornton, S. Dey, “Machine Learning Techniques for Vehicle Matching with Non-Overlapping Visual Features,” to appear in IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), October 2020. See Full Publication
  • S. Baidya, Y.-J. Ku, H. Zhao, J. Zhao and S. Dey, "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", Proc. 57th Design Automation Conference (DAC), July 2020. See Full Publication

 

2019

 

Connected and Autonomous Vehicles

  • J. Zhang, C. An, J. Dai, M. Amador, D. Bartsch, S. Borooah, W. Freeman and T. Q. Nguyen, “Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer”, IEEE International Conference on Image Processing, Sep. 2019. See Full Publication
  • Y. Ku and S. Dey, “Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources,” IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, HI, USA, Sep. 2019. See Full Publication
  • H. Yue, J. Liu, J. Yang, T. Q. Nguyen and F. Wu, “High ISO JPEG Image Denoising by Deep Fusion of Collaborative and Convolutional Filtering,” IEEE Trans. On Image Processing, Vol. 28, Issue 9, pp. 4339-4353, Sep. 2019. See Full Publication
  • J. Dai, J. Zhang, and T. Q. Nguyen, “Explicit Learning of Feature Orientation Estimation,” IEEE International Conference on Image Processing, Sep. 2019. See Full Publication
  • C. Ren, X. He, Y. Pu and T. Q. Nguyen, “Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution,” IEEE Trans. On Image Processing, Vol. 28, Issue 8, pp. 3778-3793, Aug. 2019. See Full Publication
  • B. Kang and T. Q. Nguyen, "Random Forest with Learned Representations for Semantic Segmentation", IEEE Trans. on Image Processing, Vol. 28, Issue 7, pp. 3542-3555, Jul. 2019. See Full Publication
  • Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, Dinesh Bharadia, "SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception", Accepted to CVPR 2019. See Full Publication

 

2018

 

Connected and Autonomous Vehicles

 

  • Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, Dinesh Bharadia, "SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception", Thu, 13 Dec 2018. See Full Publication
  • A Lalitha, S Shekhar, T Javidi, F Koushanfar, "Fully Decentralized Federated Learning Third workshop on Bayesian Deep Learning , NeurIPS 2018, Montréal, Canada. See Full Publication