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Shanfeng Hu

Assistant Professor

Department: Computer and Information Sciences

Shanfeng Hu

  • Please visit the Pure Research Information Portal for further information
  • TED-Face: Texture-Enhanced Deep Face Reconstruction in the Wild, Huang, Y., Fang, L., Hu, S. 19 Jul 2023, In: Sensors
  • Efficient Spatial Reasoning for Human Pose Estimation, Huang, Y., Hu, S., Zhang, Z. 25 Nov 2022, The 33rd British Machine Vision Conference Proceedings, Durham, The British Machine Vision Association and Society for Pattern Recognition
  • Facial reshaping operator for controllable face beautification, Hu, S., Shum, H., Liang, X., Li, F., Aslam, N. 1 Apr 2021, In: Expert Systems with Applications
  • UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery, Organisciak, D., Poyser, M., Alsehaim, A., Hu, S., Isaac-Medina, B., Breckon, T., Shum, H. 2021, The 17th International Conference on Computer Vision Theory and Applications
  • A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching, Hu, S., Shum, H., Aslam, N., Li, F., Liang, X. 11 Sep 2020, In: IEEE Transactions on Multimedia
  • Sparse Metric-based Mesh Saliency, Hu, S., Liang, X., Shum, H., Li, F., Aslam, N. 4 Aug 2020, In: Neurocomputing
  • A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect, Hu, S., Bhattacharya, H., Chattopadhyay, M., Aslam, N., Shum, H. 4 Feb 2019, 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA): Phnom Penh, Cambodia 3 – 5 December 2018., Piscataway, NJ, IEEE
  • DSPP: Deep Shape and Pose Priors of Humans, Hu, S., Shum, H., Mucherino, A. Oct 2019, MIG '19: Motion, Interaction and Games, New York, ACM
  • A Motion Classification Approach to Fall Detection, Hu, S., Rueangsirarak, W., Bouchee, M., Aslam, N., Shum, H. Dec 2017, Proceedings of the 11th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2017, Piscataway, NJ, IEEE

  • Adewumi Ojuolape Proposed project title: Causal Discovery and Inference for Low-Carbon Policy Evaluation Start Date: 01/10/2023
  • Daniel Organisciak Neural Attention Mechanisms for Robust and Interpretable Feature Representation Learning Start Date: 17/08/2020 End Date: 30/09/2022

Computer Science PhD March 18 2020

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