Phạm Phương

Conducted research in computer vision and image processing by investigating new architectures and the effects of color grading on model performance. Reviewed and analyzed over 20 research papers on Image Processing, identifying limitations of other architectures and methods.

Proposed Redundant Activation

Function and Image Representation methods to improve accuracy.

Computer Vision Research Assistant - Private Team - Ho Chi Minh City

(2026-01)

• Conducted research in computer vision and image processing by investigating new architectures and the effects of color grading on model performance.
• Reviewed and analyzed over 20 research papers on Image Processing, identifying limitations of other architectures and methods.
• Proposed Redundant Activation Function and Image Representation methods to improve accuracy.
• Designed experiments to evaluate color spaces using qualitative and quantitative benchmarks.
• Collaborated with researchers to formulate hypotheses, design experiments, validate methods, analyze results, review recent literature, and refine research directions.

Bachelor of Science - Computer Science - International University - VNU-HCMC (2027-04)