Haoan Feng 💭
Haoan Feng

Ph.D. Student in Computer Science

Biography

Haoan Feng is a dedicated researcher at the University of Maryland, College Park, passionate about the interdisciplinary fields of computer vision and geospatial data analysis. With a diverse research interest spanning neural representations of geospatial data, neural rendering, topological analysis, and advanced data visualization techniques. Haoan Feng is committed to pushing the boundaries of scientific exploration. Collaborative by nature, Haoan Feng has worked with teams from various academic backgrounds, reinforcing the belief that innovation thrives through interdisciplinary exchange. Continually driven by curiosity, Haoan Feng seeks to contribute to meaningful advancements in these cutting-edge fields.

During the BEng and MPhil at Hong Kong University of Science and Technology, Haoan Feng is gratefully advised by Prof. Long Quan in 3D computer graphics and vision. Currently, Haoan Feng is gratefully advised by Prof. Leila De Floriani, working on the interdisciplinary fields of computer vision and geospatial data analysis.

Please reach out to collaborate 😆!

View CV
Interests
  • Geospatial Data Modeling
  • Neural Representation
  • Neural Rendering
  • Topological Analysis
  • Information Retrieval
  • Generative Model
  • Data Visualization
Education
  • PhD in Computer Science

    University of Maryland, College Park

  • MPhil in Computer Science

    Hong Kong University of Science and Technology

  • BEng Dual Major in Computer Science Engineering and Electronic and Computer Engineering

    Hong Kong University of Science and Technology

News
Publications
(2024). Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method. In The 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’24). (Oral Presentation).
(2024). ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (Oral Presentation @ INRV Workshop).
(2020). Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation. Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVII 16.
Recent & Upcoming Presentations