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Project Title | High-fidelity And Lightweight Multimedia Content Generation Based on Unconditional Generative Model |
Location | Kampar Campus |
Stipend | RM2,000 per month (total for 12 months = RM24,000) |
Entry Requirement | 1. Bachelor's degree in computer science or related field 2. Basic experiences in deep learning and computer vision 3. Good communication skills in English (both written and spoken) |
Specific Skills / Knowledge Required | 1. To construct and experiment various types of deep learning models for image generation 2. To experiment model compression techniques on the larger models 3. To finalize and evaluate the optimal model for image generation in wide variations 4. To conduct user preference study through public survey as add-on evaluation 5. To publish the work in research journal and conferences |
Field of Study Related to the Research Project | Computer Science (Master of Science (Computer Science)) |
How to Apply | If you are interested, please contact Dr. Png Wen Hao via email at pngwh@utar.edu.my |